[0001] The present disclosure relates generally to field of health monitoring. More
particularly, the present disclosure provides an internet of things (IoT) based health monitoring
system for pregnant women and fetus.
BACKGROUND
[0002] Background description includes information that may be useful in understanding the
present invention. It is not an admission that any of the information provided herein is prior art or
relevant to the presently claimed invention, or that any publication specifically or implicitly
referenced is prior art.
[0003] Death of pregnant women during and after child birth has increased rate of maternal
mortality. The maternal mortality occurs after delivery, postpartum hemorrhage being most
common complication. Incidence of emergency postpartum hysterectomies and a perinatal
mortality is high with increase maternal mortality rate. This can be attributed to absence of focus
on emergency obstetric care, missing trained midwives, lack of management capacity in health
system and absence of comprehensive maternal care services. Therefore, timely monitoring of
the pregnant women and associated fetus is essential to avoid similar circumstances.
[0004] Timely health monitoring of pregnant women and fetus is done with help of various
devices and methods for diagnosing health of the pregnant women and the fetus. Some devices
are configured to monitor automatically while some needs human assistance. Sometimes the
pregnant women have to face difficulties for different screening test performed during the
pregnancy as the devices and equipment’s used are not assembled at one place and an examining
entity like doctor or medical practitioner has to collect different reports either through the
pregnant women or lab technician. Hence, a solution which can provide automatic assistance
with updating of the reports will help in analyzing any critical situation and emergency timely
and the pregnant women can take necessary precaution and steps to avoid any mishappening.
[0005] There is a need to overcome above mentioned problems of prior art by bringing
solution which is multifunctional and facilitates in providing timely assistance and guidance to
3
the pregnant women with help of doctors, practitioners or experts. Also the reports can be
analyzed by the doctors, practitioners based on automation.
OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein
satisfies are as listed herein below.
[0007] It is an object of the present disclosure to providea complete system that facilitates in
providing health monitoring of pregnant women and associated fetus.
[0008] It is an object of the present disclosure to provide a system that is easy to integrate
and is portable.
[0009] It is an object of the present disclosure to provide a system that is internet of things
(IoT) based.
[0010] It is an object of the present disclosure to provide a system that aids in providing
immediate results and attention towards pregnant women and fetus.
[0011] It is an object of the present disclosure to provide a system that helps a large
community of under privileged women for taking proper care during pregnancy.
[0012] It is an object of the present disclosure to provide a system that operates after proper
authentication and ensures credibility of the pregnant women.
[0013] It is an object of the present disclosure to providea system that facilitates in
eradicating societal imbalances.
[0014] It is an object of the present disclosure to provide a system that enables providing
feasible solution to solve major health problems related to the pregnant women and fetus.
[0015] It is an object of the present disclosure to provide a multifunctional system that can be
linked with essential services to provide medical assistance and guidance to the pregnant women
and fetus.
[0016] It is an object of the present disclosure to provide an efficient, automated, safe,
secure, authentic, reliable, internet of things based (IoT) based system for health monitoring of
the pregnant women and the associated fetus.
[0017] These and other objects of the present invention will become readily apparent from
the following detailed description taken in conjunction with the accompanying drawings.
4
SUMMARY
[0018] The present disclosure relates generally to field of health monitoring. More
particularly, the present disclosure provides an internet of things (IoT) based health monitoring
system for a pregnant women and fetus.
[0019] An aspect of the present disclosure pertains to a health monitoring system for a
pregnant women and fetus, said system may include an authentication unit configured to extract
authenticating attributes associated with the pregnant women, and an examining entity, and
correspondingly generate a first set of signals. The system may include a set of health monitoring
units configured to detect physiological attributes of the pregnant women and associated fetus,
and correspondingly generate a second set of signals, and where the set of monitoring units may
be configured to operate in first mode and a second mode. The system may include a processing
unit operatively coupled with authentication unit, and the set of monitoring unit, where the
processing unit may include one or more processors coupled with a memory, the memory storing
instructions executable by the one or more processors. The processing unit may be configured to
extract a third set of signals from the first set of signals, and a fourth set of signals from the
second set of signals where the third set of signals may pertain to the authenticating attributes
and the fourth set of signals pertain to physiological attributes, verify the authenticating attributes
with a first dataset may include preregistered authentication attributes, where the system may be
configured to allow detection of the physiological attributes upon positive verification of both
the pregnant women and the examining entity, compare the physiological attributes with a
second dataset, where the second dataset may include predetermined limit ranges, generate a set
of alert signals, when at least one of the physiological attributes are beyond the predetermined
limit ranges.
[0020] In an aspect, the set of health monitoring units may include any or a combination of
blood testing unit, weight measurement unit, temperature sensor, pulse sensor, blood pressure
sensor, glucose sensing device, portable urine analyser, cardiotocography test unit, oxygen
saturation measurement unit.
[0021] In an aspect, the first mode of the set of health monitoring units may pertain to
automatic monitoring of the physiological attributes associated with the pregnant women and the
associated fetus, where the automatic monitoring physiological attributes may include pulse
5
attributes, blood pressure attributes, glucose attributes, temperature attributes, and heart rate
attributes.
[0022] In an aspect, the second mode of the health monitoring units may pertain to semiautomatic monitoring of the physiological attributes associated with the pregnant women and the
fetus, where the semi-automatic monitoring physiological attributes may include blood test
attributes, urine attributes, oxygen saturation attributes.
[0023] In an aspect, the system may be configured to communicatively couple with one or
more computing devices, and transmit the first set of signals, the second set of signals, and the
set of alert signals to the one or more computing devices, and where the one or more computing
devices may include any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
[0024] In an aspect, the semi-automatic monitoring may be performed by the examining
entity and correspondingly physiological attributes of respective pregnant women may be
transmitted to the computing device.
[0025] In an aspect, the system may include a communication unit operatively coupled with
the processing unit, and configured to communicatively couple the computing device with the
processing unit, and where the communication unit may include any or a combination of
Wireless Fidelity (Wi-Fi), Bluetooth, and Li-Fi, optical fibre, Wireless Local Area Network
(WLAN), and ZigBee.
[0026] In an aspect, the system may be configured to communicatively couple with
emergency services with help of the communication unit, and where the emergency services may
include any or a combination of ambulance services, blood bank information services, and
medical services.
[0027] In an aspect, the communicative coupling of the emergency services with help of the
communication unit may facilitate alerting the emergency services, pregnant women and the
examining entity for taking proper actions, and where the alerting may be done with help of the
one or more computing devices.
[0028] In an aspect, the authentication unit may include any or a combination of finger print
scanner, retina scanner, image scanner, face scanner, hand geometry scanner, and speaker and
the authentication attributes may include any or a combination of finger prints recognition, retina
blood vessels recognition, image recognition, face recognition, hand geometry recognition, and
voice identification.
6
BRIEF DESCRIPTION OF THE DRAWINGS
[0029] The accompanying drawings are included to provide a further understanding of the
present disclosure, and are incorporated in and constitute a part of this specification. The
drawings illustrate exemplary embodiments of the present disclosure and, together with the
description, serve to explain the principles of the present disclosure.
[0030] The diagrams are for illustration only, which thus is not a limitation of the present
disclosure, and wherein:
[0031] FIG. 1 illustrates a block diagram of a proposed system, in accordance with an
embodiment of the present disclosure.
[0032] FIG. 2 illustrates exemplary functional components of a processing unit of the
proposed system, in accordance with an embodiment of the present disclosure.
[0033] FIG. 3 illustrates an exemplary architecture of the proposed system, in accordance
with an embodiment of the present disclosure.
[0034] FIG. 4 illustrates an exemplary input section of the proposed system, in accordance
with an embodiment of the present disclosure.
[0035] FIG. 5 illustrates an exemplary server of the proposed system, in accordance with an
embodiment of the present disclosure.
[0036] FIG. 6 illustrates an exemplary computer system to implement the proposed system,
in accordance with embodiments of the present disclosure.
DETAIL DESCRIPTION
[0037] In the following description, numerous specific details are set forth in order to
provide a thorough understanding of embodiments of the present invention. It will be apparent to
one skilled in the art that embodiments of the present invention may be practiced without some
of these specific details.
[0038] Embodiments of the present invention include various steps, which will be described
below. The steps may be performed by hardware components or may be embodied in machineexecutable instructions, which may be used to cause a general-purpose or special-purpose
processor programmed with the instructions to perform the steps. Alternatively, steps may be
performed by a combination of hardware, software, firmware and/or by human operators.
7
[0039] Embodiments of the present invention may be provided as a computer program
product, which may include a machine-readable storage medium tangibly embodying thereon
instructions, which may be used to program a computer (or other electronic devices) to perform a
process. The machine-readable medium may include, but is not limited to, fixed (hard) drives,
magnetic tape, floppy diskettes, optical disks, compact disc read-only memories (CD-ROMs),
and magneto-optical disks, semiconductor memories, such as ROMs, PROMs, random access
memories (RAMs), programmable read-only memories (PROMs), erasable PROMs (EPROMs),
electrically erasable PROMs (EEPROMs), flash memory, magnetic or optical cards, or other
type of media/machine-readable medium suitable for storing electronic instructions (e.g.,
computer programming code, such as software or firmware).
[0040] Various methods described herein may be practiced by combining one or more
machine-readable storage media containing the code according to the present invention with
appropriate standard computer hardware to execute the code contained therein. An apparatus for
practicing various embodiments of the present invention may involve one or more computers (or
one or more processors within a single computer) and storage systems containing or having
network access to computer program(s) coded in accordance with various methods described
herein, and the method steps of the invention could be accomplished by modules, routines,
subroutines, or subparts of a computer program product.
[0041] If the specification states a component or feature “may”, “can”, “could”, or “might”
be included or have a characteristic, that particular component or feature is not required to be
included or have the characteristic.
[0042] As used in the description herein and throughout the claims that follow, the meaning
of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise.
Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the
context clearly dictates otherwise.
[0043] Exemplary embodiments will now be described more fully hereinafter with reference
to the accompanying drawings, in which exemplary embodiments are shown. This invention
may, however, be embodied in many different forms and should not be construed as limited to
the embodiments set forth herein. These embodiments are provided so that this invention will be
thorough and complete and will fully convey the scope of the invention to those of ordinary skill
in the art. Moreover, all statements herein reciting embodiments of the invention, as well as
8
specific examples thereof, are intended to encompass both structural and functional equivalents
thereof. Additionally, it is intended that such equivalents include both currently known
equivalents as well as equivalents developed in the future (i.e., any elements developed that
perform the same function, regardless of structure).
[0044] While embodiments of the present invention have been illustrated and described, it
will be clear that the invention is not limited to these embodiments only. Numerous
modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled
in the art, without departing from the spirit and scope of the invention, as described in the claim.
[0045] The present disclosure relates generally to field of health monitoring. More
particularly, the present disclosure provides an internet of things (IoT) based health monitoring
system for a pregnant women and fetus.
[0046] According to an aspect the present disclosure pertains to a health monitoring system
for a pregnant women and fetus, said system can include an authentication unit configured to
extract authenticating attributes associated with the pregnant women, and an examining entity,
and correspondingly generate a first set of signals, a set of health monitoring units configured to
detect physiological attributes of the pregnant women and associated fetus, and correspondingly
generate a second set of signals, and where the set of monitoring units can be configured to
operate in first mode and a second mode, a processing unit operatively coupled with
authentication unit, and the set of monitoring unit, where the processing unit can include one or
more processors coupled with a memory, the memory storing instructions executable by the one
or more processors and configured to extract a third set of signals from the first set of signals,
and a fourth set of signals from the second set of signals where the third set of signals can pertain
to the authenticating attributes and the fourth set of signals pertain to physiological attributes,
verify the authenticating attributes with a first dataset can include preregistered authentication
attributes, where the system can be configured to allow detection of the physiological attributes
upon positive verification of both the pregnant women and the examining entity, compare the
physiological attributes with a second dataset, where the second dataset can include
predetermined limit ranges, generate a set of alert signals, when at least one of the physiological
attributes are beyond the predetermined limit ranges.
[0047] In an embodiment, the set of health monitoring units can include any or a
combination of blood testing unit, weight measurement unit, temperature sensor, pulse sensor,
9
blood pressure sensor, glucose sensing device, portable urine analyser, cardiotocography test
unit, oxygen saturation measurement unit.
[0048] In an embodiment, the first mode of the set of health monitoring units can pertain to
automatic monitoring of the physiological attributes associated with the pregnant women and the
associated fetus, where the automatic monitoring physiological attributes can include pulse
attributes, blood pressure attributes, glucose attributes, temperature attributes, and heart rate
attributes.
[0049] In an embodiment, the second mode of the health monitoring units pertain to semiautomatic monitoring of the physiological attributes associated with the pregnant women and the
fetus, where the semi-automatic monitoring physiological attributes can include blood test
attributes, urine attributes, oxygen saturation attributes.
[0050] In an embodiment, the system can be configured to communicatively couple with one
or more computing devices, and transmit the first set of signals, the second set of signals, and the
set of alert signals to the one or more computing devices, and where the one or more computing
devices can include any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
[0051] In an embodiment, the semi-automatic monitoring can be performed by the
examining entity and correspondingly physiological attributes of respective pregnant women can
be transmitted to the computing device.
[0052] In an embodiment, the system can include a communication unit operatively coupled
with the processing unit, and configured to communicatively couple the computing device with
the processing unit, and where the communication unit can include any or a combination of
Wireless Fidelity (Wi-Fi), Bluetooth, and Li-Fi, optical fibre, Wireless Local Area Network
(WLAN), and ZigBee.
[0053] In an embodiment, the system can be configured to communicatively couple with
emergency services with help of the communication unit, and where the emergency services can
include any or a combination of ambulance services, blood bank information services, and
medical services.
[0054] In an embodiment, the communicative coupling of the emergency services with help
of the communication unit can facilitate alerting the emergency services, pregnant women and
the examining entity for taking proper actions, and where the alerting can be done with help of
the one or more computing devices.
10
[0055] In an embodiment, the authentication unit can include any or a combination of finger
print scanner, retina scanner, image scanner, face scanner, hand geometry scanner speaker and
the authentication attributes can include any or a combination of finger prints recognition, retina
blood vessels recognition, image recognition, face recognition, hand geometry recognition, and
voice identification.
[0056] FIG. 1 illustrates a block diagram of a proposed system, in accordance with an
embodiment of the present disclosure.
[0057] As illustrated in FIG.1, the proposed system 100 (also referred to as system 100,
herein) can include an authentication unit 102, a set of health monitoring unit 104, and a
processing unit 106. The authentication unit 102 and the set of monitoring unit 104 can be
operatively coupled with the processing unit 106. The system 100 can be internet of things (IoT)
based and can facilitate in monitoring health of a pregnant women (also referred to as an entity)
and a fetus associated with the pregnant women respectively.
[0058] In an embodiment, the authentication unit 102 can be configured to configured to
extract authenticating attributes associated with the entity, and an examining entity, and
correspondingly generate a first set of signals. In an illustrative embodiment, the authentication
unit 102 can be selected from any or a combination of finger print scanner, retina scanner, image
scanner, face scanner, hand geometry scanner, speaker and the likes. The authenticating
attributes can include any or a combination of finger prints recognition, retina blood vessels
recognition, image recognition, face recognition, hand geometry recognition, and voice
identification. In another illustrative embodiment, the examining entity can include any or a
combination of lab technician, medical practitioner, and the likes.
[0059] In an illustrative embodiment, the finger print scanner can be configured to scan the
finger prints of the entity and the examining entity. The finger print scanner can be optical or
capacitive in nature. The optical finger print scanner can include optical fingerprint sensors, such
that the optical finger print scanner can be configured to bright light over the fingerprints of the
entity and the examining entity and correspondingly acquire a digital image along with ridges
and valleys relating to the finger print of the entity and the examining entity. The optical
fingerprint scanner can include a light sensitive microchip, where the light sensitive microchip
can be configured to convert the digital photo in binary form or machine readable form and
correspondingly generate individual code for the respective entity and the examining entity.
11
[0060] In an illustrative embodiment, the capacitive finger print scanner can include an array
circuit of capacitors, where the circuit can be configured to track finger print details of the entity
and the examining entity. The array circuit of capacitors can be configured to use ridges of the
finger prints placed over conductive plates of the capacitor, which can ultimately changes charge
stored in the capacitor while valleys leave the charge on the capacitor unchanged. An operational
amplifier integrator circuit tracks the changes associated with the charge and an analogue to
digital converter can be configured to record the changes in the charge and the digital dataset
associated with the changes in the charge can be analysed.
[0061] In an illustrative embodiment, the retinal scanner can be configured to identify retina
blood vessels of the entity and the examining entity respectively with help of an optical infrared
illumination source. The optical infrared illumination source can be configured to absorb the
retinal blood vessel more readily than surrounding tissue of the entity and the examining entity.
The retinal scanner can be configured to map unique retina patterns of the entity and the
examining entity and correspondingly generate a first set of signals.
[0062] In an embodiment, the set of monitoring units can be configured to detect
physiological attributes of the entity and associated fetus, and correspondingly generate a second
set of signals, and where the set of monitoring units can be configured to operate in a first mode
and a second mode respectively. In an illustrative embodiment, the set of monitoring unit can
include any or a combination of blood testing unit, weight measurement unit, temperature sensor,
pulse sensor, blood pressure sensor, glucose sensing device, portable urine analyser,
cardiotocography test unit, oxygen saturation measurement unit and the likes. In another
illustrative embodiment, the set of monitoring units can be configured to operate in the first
mode and the second mode, where the first mode can pertain to automatic monitoring of the
physiological attributes associated with the pregnant women and the associated fetus, where the
automatic monitoring physiological attributes can include pulse attributes, blood pressure
attributes, glucose attributes, temperature attributes, and heart rate attributes, and the likes.
[0063] In an embodiment, the second mode of the health monitoring units can pertain to
semi-automatic monitoring of the physiological attributes associated with the pregnant women
and the fetus, where the semi-automatic monitoring physiological attributes can include blood
test attributes, urine attributes, oxygen saturation attributes, and the likes. In an illustrative
embodiment, the automatic monitoring of the physiological attributes can be done with help of
12
weighing unit, pulse measurement unit, temperature sensor, and the likes and the set of
monitoring units can be configured to measure the physiological attributes associated with the
entity and the fetus. The physiological attributes can include any or a combination of pulse
measurement, temperature measurement, weight measurement, and the likes.
[0064] In an illustrative embodiment, the set of health monitoring units for automatic
monitoring of the physiological attributes can be configured with the entity and the set of
monitoring unit can detect the physiological attributes for automatic monitoring of the entity and
the fetus. The set of health monitoring unit can be configured to generate the second set of
signals after monitoring the physiological attributes in automatic mode. The second set of signals
can be in electrical form. The second set of signals can be transmitted to the processing unit 106.
In another illustrative embodiment, the second mode of operation of the set of health monitoring
units can be semi-automatic mode. The physiological attributes can be monitored semi
automatically with help of the set of health monitoring unit including any or a combination of
blood test unit, urine analyser, oxygen saturation unit, and the likes.
[0065] In an illustrative embodiment, the semi-automatic monitoring of the physiological
attributes with help of the set of health monitoring unit scan requires a manual intervention for
example, a blood test has a procedure, even though there can be automatic devices configured to
perform complete blood tests but the automatic devices are not cost effective. Therefore, the
examining entity can perform blood tests and can feed data in the system or the device connected
to do the tests can send the data to our device, the proper conversions will be made to get final
digital data and will be sent to cloud server. The examining entity can be a skilled labour in
blood test or medical practitioner, and the likes.
[0066] In an embodiment, the processing unit 106 can include one or more processors
coupled with a memory, the memory storing instructions executable by the one or more
processors. The processing unit can be configured to extract a third set of signals from the first
set of signals, where the first set of signals can be received from the authentication unit 102, and
a fourth set of signals from the second set of signals, where the second set of signals can be
obtained from the set of health monitoring units 104. The third set of signals can pertain to the
authenticating attributes and the fourth set of signals can pertain to physiological attributes. In an
illustrative embodiment, the processing unit 106 can be configured to verify the authenticating
attributes with a first dataset, where the first dataset can include preregistered authentication
13
attributes, where the system 100 can be configured to allow detection of the physiological
attributes upon positive verification of both the entity and the examining entity.
[0067] In an illustrative embodiment, the processing unit 106 can be configured to compare
the physiological attributes with a second dataset, where the second dataset can include
predetermined limit ranges, and generate a set of alert signals, when at least one of the
physiological attributes are beyond the predetermined limit ranges. In another illustrative
embodiment, the processing unit 106 can include any or a combination of Atmega, Arduino,
microcontroller, microprocessor, and the likes. In yet another illustrative embodiment, the
processing unit 106 can be configured to receive the first set of signals in electrical form from
the authentication unit 102 and the second set of signals in electrical form from the set of health
monitoring units 104
[0068] FIG. 2 illustrates exemplary functional components of a processing unit of the
proposed system, in accordance with an embodiment of the present disclosure.
[0069] As illustrated in an embodiment, a system 100 can include one or more processor(s)
202. The one or more processor(s) 202 can be implemented as one or more microprocessors,
microcomputers, microcontrollers, digital signal processors, central processing units, logic
circuitries, and/or any devices that manipulate data based on operational instructions. Among
other capabilities, the one or more processor(s) 202 are configured to fetch and execute
computer-readable instructions stored in a memory 204 of the system 100. The memory 204 can
store one or more computer-readable instructions or routines, which may be fetched and
executed to create or share the data units over a network service. The memory 204 can include
any non-transitory storage device including, for example, volatile memory such as RAM, or nonvolatile memory such as EPROM, flash memory, and the like.
[0070] In an embodiment, the system 100 can also include an interface(s) 206. The
interface(s) 206 may include a variety of interfaces, for example, interfaces for data input and
output devices, referred to as I/O devices, storage devices, and the like. The interface(s) 206 may
facilitate communication of the system 100 with various devices coupled to the system 100. The
interface(s) 206 may also provide a communication pathway for one or more components of
system 100. Examples of such components include, but are not limited to, processing engine(s)
208 and data 210.
14
[0071] In an embodiment, the processing engine(s) 208 can be implemented as a
combination of hardware and programming (for example, programmable instructions) to
implement one or more functionalities of the processing engine(s) 208. In examples described
herein, such combinations of hardware and programming may be implemented in several
different ways. For example, the programming for the processing engine(s) 208 may be
processor executable instructions stored on a non-transitory machine-readable storage medium
and the hardware for the processing engine(s) 208 may include a processing resource (for
example, one or more processors), to execute such instructions. In the present examples, the
machine-readable storage medium may store instructions that, when executed by the processing
resource, implement the processing engine(s) 208. In such examples, the system 102 can include
the machine-readable storage medium storing the instructions and the processing resource to
execute the instructions, or the machine-readable storage medium may be separate but accessible
to system 102 and the processing resource. In other examples, the processing engine(s) 208 may
be implemented by electronic circuitry. A database 210 can include data that is either stored or
generated as a result of functionalities implemented by any of the components of the processing
engine(s) 208.
[0072] In an embodiment, the processing engine(s) 208 can include an extraction unit 212, a
verification unit 214, a comparison unit 216, a signal generation unit 218, and other unit (s) 220.
The other unit(s) 220 can implement functionalities that supplement applications or functions
performed by the system 100 or the processing engine(s) 208.
[0073] The database 210 can include data that is either stored or generated as a result of
functionalities implemented by any of the components of the processing engine(s) 208.
[0074] It would be appreciated that units being described are only exemplary units and any
other unit or sub-unit may be included as part of the system 100. These units too may be merged
or divided into super- units or sub-units as may be configured.
[0075] In an embodiment, the processing unit 106 can be configured to extract with help of
the extraction unit 212, a third set of signals from a first set of signals, where the first set of
signals can be received from an authentication unit 102, and a fourth set of signals from a second
set of signals, where the second set of signals can be obtained from a set of health monitoring
units 104 The third set of signals can pertain to the authenticating attributes and the fourth set of
signals can pertain to physiological attributes. In an illustrative embodiment, the processing unit
15
106 can be configured to verify with help of the verification unit 214, the authenticating
attributes with a first dataset, where the first dataset can include preregistered authentication
attributes, where the system 100 can be configured to allow detection of the physiological
attributes upon positive verification of both the entity and the examining entity. In another
illustrative embodiment, the processing unit 106 can be configured to compare with help of the
comparison unit 216, the physiological attributes with a second dataset, where the second dataset
can include predetermined limit ranges, and generate with help of the signal generation unit 218,
a set of alert signals, when at least one of the physiological attributes are beyond the
predetermined limit ranges.
[0076] In an embodiment, the extraction unit 212 can be configured to extract the third set of
signals from the first set of signals and the fourth set of signals from the second set of signals in
machine readable form or binary form. The first set of signals and the second set of signals
received by the extraction unit 212 can be in electrical form. In an illustrative embodiment, the
extraction unit 212 can be configured to extract the authenticating attributes and the
physiological attributes from the authentication unit 102 and the set of health monitoring units
104 respectively. In another illustrative embodiment, the authentication unit 102 such as finger
print scanner can be configured to scan finger prints of an entity and an examining entity
respectively, and the authentication unit 102 can create digest of the scanned finger prints and
correspondingly generate a first set of signals and transmit the first set of signals to the extraction
unit 212.
[0077] In an illustrative embodiment, the set of health monitoring units 104 can be
configured to generate the second set of signals, where the set of health monitoring units 104 can
operate in a first mode and a second mode respectively. The set of health monitoring units 104
such as blood testing unit, weight measurement unit, temperature sensor, pulse sensor, blood
pressure sensor, glucose sensing device, portable urine analyser, cardiotocography test unit,
oxygen saturation measurement unit and the likes can detect the physiological attributes of the
entity and the examining entity respectively and correspondingly generate a second set of
signals. The extraction unit 212 can receive the second set of signals and extract the
physiological attributes associated with the entity and the examining entity. In another
illustrative embodiment, the extraction unit 212 can be configured to transmit the extracted
authentication attributes and the physiological attributes to the verification unit 214.
16
[0078] In an embodiment, the verification unit 214 can be configured to receive the extracted
authentication attributes and the physiological attributes from the extraction unit 212 in machine
readable form or binary form. In an illustrative embodiment, the verification unit 214 can be
configured to verify the authenticating attributes with a first dataset. The first dataset can include
preregistered authentication attributes stored in a database 210. In an illustrative embodiment, the
system 100 can be configured to allow detection of the physiological attributes upon positive
verification of both the entity and the examining entity. In another illustrative embodiment, the
verification of the authenticating attributes can be done with help of the preregistered
authentication attributes to facilitate authenticity and credibility of the entity and the examining
entity.
[0079] In an illustrative embodiment, when the entity and the examining entity uses the
authentication unit 102, the first set of signals generated by the authentication unit 102 can be
received by the extraction unit 212, where the extraction unit 212 can transmit the extracted
authenticating attributes to the verification unit 214. The verification unit 214 can facilitate the
system 100 to detect the physiological attributes of the entity upon positive verification of the
entity and the examining entity based on the authenticating attributes.
[0080] In an embodiment, the comparison unit 216 can be configured to compare the
physiological attributes with a second dataset, where the second dataset can include
predetermined limit ranges. The second dataset can be stored in the database 210. In an
illustrative embodiment, the comparison unit 314 can be configured to receive the extracted
physiological attributes from the extraction unit 212 in machine readable form. The comparison
unit 314 can facilitate in comparing the extracted physiological attributes with the second data
set, where the second data set can pertain to predefined limit ranges. The comparison unit 214
can receive the extracted physiological attributes from the extraction unit 212, and can compare
with the first dataset stored in database 210. The predefined limit ranges can include threshold
values pertaining to the physiological attributes associated with the set of health monitoring units
104, where the set of health monitoring units can be associated with the entity. The comparison
unit 216 can compare the extracted physiological attributes, and can facilitate in finding whether
the extracted physiological attributes has reached the predefined limit ranges. In another
illustrative embodiment, the threshold value can include limit ranges of set of health monitoring
units like blood testing unit, weight measurement unit, temperature sensor, pulse sensor, blood
17
pressure sensor, glucose sensing device, portable urine analyser, cardiotocography test unit,
oxygen saturation measurement unit and the likes.
[0081] In an illustrative embodiment, the comparison unit 216 can receive the extracted
physiological attributes from the extraction unit 212in machine readable form. The comparison
unit 216 can facilitate in comparing the received extracted physiological attributes in machine
readable form with help of a comparator. The comparator can enable comparing the extracted
physiological attributes with the predefined limit ranges. The comparator can include an
analogue comparator or a digital comparator. The digital comparators can compare the extracted
physiological attributes with the predefined limit ranges. The digital comparators can facilitate
comparison with help of logic gates such as AND, NOT or NOR gates. The digital comparator
can be configured to accept the extracted physiological attributes, in the machine readable form.
Further three conditions can be applicable for the comparison of the extracted physiological
attributes with the predefined limit ranges.
[0082] In an illustrative embodiment, the three conditions associated with the digital
comparator can include a first condition, which can prevail when the extracted physiologicalare
found equal to the predefined limit ranges, a second condition can prevail when the extracted
physiological attributes are found beyond the predefined limit ranges, and the third condition can
prevail when the extracted physiological attributes are found less than the predefined limit
ranges. The digital comparator can compare and transmit the compared physiological attributes
to the signal generation unit 216. In another illustrative embodiment, the comparison unit 216
can be configured to compare the extracted physiological attributes associated with the entity
only upon positive verification of the authenticating attributes of the entity and the examining
entity with help of the verification unit 214.
[0083] In an embodiment, the signal generation unit 218 can be configured to generate a set
of alert signals, when at least one of the physiological attributes are beyond the predetermined
limit ranges. In an illustrative embodiment, the signal generation unit 218 can be configured to
receive the compared physiological attributes in machine readable form. In an illustrative
embodiment, the signal generation unit 316 can be configured to generate the set of alert signals,
when the compared physiological attributes are found beyond the threshold value, where the
threshold value can include the limit ranges of set of health monitoring units 104. When the
compared physiological attributes associated with the entity is found beyond the threshold values
18
of the set of health monitoring units 104 the signal generation unit 218 can be configured to
generate the set of alert signals and transmit the set of alert signals to one or more mobile
computing devices.
[0084] In an illustrative embodiment, the signal generation unit 218 can be configured to
generate the set of alert signals, when the compared physiological attributes are found to be
beyond the predefined limit ranges. The compared physiological attributes can include any or a
combination of weight gain attributes, temperature attributes, oxygen saturation attributes, urine
micro albuminuria attributes, blood pressure attributes, blood sugar attributes during pregnancy,
fetal heart rate attributes, and the likes associated with the entity and the related fetus the
threshold values pertaining to the physiological attributes can be calculated based on different
scales and formulas mentioned below.
[0085] As illustrated in below equation, weight gain attributes numerically can be
determined and the following equation can be used
[0086] where wt is weight, GA is gestational age in weeks, t is time of most recent
measurement, and t — 1 = time of previous measurement. As an example, if body weight is 135
lb at week 20 of pregnancy and 139 lb at week 25, then
[0087] It is less useful to calculate rate of gain for periods including part or all of the first
trimester, when the rate of gain is normally low, than for periods within the second and third
trimesters.
[0088] In an illustrative embodiment, when the weight gain attribute of the entity is found
beyond 0.8 lb/wk but not limited to the likes, the signal generation unit 218 can be configured to
generate the set of alert signals. The set of alert signals can be transmitted to the one or more
mobile computing device associated with the entity and the examining entity and accordingly the
examining entity can help the entity in providing guidance and instructions for the fetus.
[0089] In an illustrative embodiment, the physiological attributes pertaining to the oxygen
saturation can include a threshold value of 95 percent among the entity during all trimesters but
19
not limited to the likes. The signal generation unit 218 can be configured to generate the set of
alert signals when the oxygen saturation attribute is found beyond 95 percent and accordingly the
examining entity can facilitate assisting the entity during the pregnancy.
[0090] In an illustrative embodiment, the physiological attributes pertaining to the
temperature of the entity can include a threshold value of thirty-seven degrees centigrade but not
limited to the likes. The signal generation unit 218 can be configured to generate the set of alert
signals when the compared temperature attributes is found beyond thirty-seven degrees
centigrade. The temperature attributes above thirty-seven degrees centigrade can be associated
with viral or bacterial infections, which must be managed timely. The temperature attributes
which is very much below the threshold value can be associated with lesser birth length as well
as birth weight of new-born or fetus of the entity.
[0091] In an illustrative embodiment, the physiological attribute pertaining to the blood
pressure and associated attributes with the blood pressure can include Hypertension, Proteinuria,
Gestational hypertension, Pre-eclampsia, Eclampsia, Essential hypertension in pregnancy. The
threshold values for the above mentioned attributes can be illustrated with help of table
mentioned below.
Blood Pressure
Hypertension
Proteinuria
Gestational hypertension
Pre-eclampsia
Eclampsia
Essential hypertension in
pregnancy
Unaffected or mid pregnancy drop of diastolic pressure by 5-
10 mm of Hg.
BP>140/90 mm of Hg measured 2 times with 6 hours’ interval
≥0.3 gm protein/24 hours or 0.1 gm/L
>140/90 mm Hg after 20 weeks of pregnancy
140/90 mm Hg with proteinuria after 20 weeks of pregnancy
Pre-eclampsia complicated with convulsion or coma
>140/90 before 20 weeks of gestation
20
[0092] In an illustrative embodiment, when the above mentioned blood pressure attributes
and associated attributes like Hypertension, Proteinuria, Gestational hypertension, Pre-eclampsia,
Eclampsia, Essential hypertension in pregnancy are found beyond the threshold values
mentioned above, the signal generation unit 218 can be configured to generate a set of alert
signals. The set of alert signals generated can aid the entity in analysing the blood pressure
attributes and accordingly precautions can be taken.
[0093] In an illustrative embodiment, the physiological attributes pertaining to the urine
micro albuminuria associated with the entity can include threshold values for different stages,
where the different stages can be normal, early kidney disease and the advanced kidney disease
respectively. The threshold values for different stages can include Less than 30 per gram of
creatinine, 30-300 mg/g of creatinine, More than 300 for different stages respectively. In another
illustrative embodiment, the signal generation unit 218 can be configured to generate the set of
alert signals when the compared urine micro albuminuria attributes are found beyond 30 mg/g of
creatinine. The compared urine micro albuminuria attributes beyond 30 mg/g of creatinine can
indicate early kidney disease associated with the entity and accordingly the entity can take
precautions.
[0094] In an illustrative embodiment, the physiological attributes pertaining to the blood
sugar during pregnancy of the entity can include limit ranges during first trimester, second
trimester, third semester. The limit ranges for first semester, second semester, third semester with
units can be illustrated with help of the table.
Units No pregnant
Adult
First Trimester Second
Trimester
Third Trimester
Mg/dl 75-99 - 75-80 71-77
Mmol/l 4.2-5.5 - 4.2-4.4 4.4.3
[0095] In an illustrative embodiment, the threshold value for fasting plasma glucose
associated with the entity can include 5.1 mmol/l (92 mg/dl). When the compared fasting plasma
glucose is found beyond 5.1 mmol/l (92 mg/dl), the signal generation unit 218 can be configured
to generate the set of alert signals. The fasting plasma glucose above 5.1 mmol/l (92 mg/dl) can
21
indicate gestational diabetes (GDM). In another illustrative embodiment, when the compared
fasting plasma glucose is found above 7.0 mmol/l (126 mg/dl), the signal generation unit 218 can
be configured to generate the set of alert signals. The fasting plasma glucose above 7.0mmol/l
(92 mg/dl) can indicate overt diabetes. The set of alert signals can facilitate in identifying GDM
and overt diabetes associated with the entity and accordingly the precautions can be taken.
[0096] In an illustrative embodiment, the physiological attributes pertaining to the foetal
heart rate (FHR) can include limit ranges during first trimester, second trimester and the third
semester respectively. The limit ranges can include 110 bpm (mean) by 5-6 weeks, 170 bpm by
9-10 weeks. This is followed by a decrease in FHR becoming on average as 150 bpm by 14
weeks, 140 bpm by 20 weeks, 130 bpm by term. The threshold values changes according to the
first trimester, second trimester and the third trimester based on updated database 210. In another
illustrative embodiment, the signal generation unit 218 can be configured to generate the set of
alert signals when above mentioned FHR are found beyond the above mentioned limit ranges for
first trimester, second trimester, and the third trimester respectively.
[0097] FIG. 3 illustrates an exemplary architecture of the proposed system, in accordance
with an embodiment of the present disclosure.
[0098] As illustrated in FIG. 3, the proposed system 100 can include an authentication
section 302, an input section 304, and a server 306. The authentication section 302vcan include
an authentication unit 102 configured to perform authentication with help of biometrics as shown
in block 302-3 of an entity and an examining entity. The entity can be pregnant women 302-1
and the examining entity can be lab technician 302-2. The authentication unit 102vcan include
any or a combination of finger print scanner, retina scanner, image scanner, face scanner, hand
geometry scanner, speaker and the likes. the authentication section 302 can be configured to
extract the authenticating attributes of the pregnant women 302-1 and the lab technician 302-3.
[0099] In an illustrative embodiment, the finger print scanner can be configured to scan
finger prints of the pregnant women 302-1 and the lab technician 302-2 and the scanned finger
prints can be used for authentication purposes. The authentication unit 102 can be configured to
create digest of the scanned finger prints, verify and authenticate the scanned finger print with
the server 306, and ensure authenticity and credibility of the pregnant women 302-1 and the lab
technician 302-2. In another illustrative embodiment, the input section 304 can include a set of
health monitoring units 104 configured to detect physiological attributes of the pregnant women
22
302-1 and associated fetus. The input section 304 can facilitate in conducting screening test of
the pregnant women 302-1 with help of the set of health monitoring units 104. The set of health
monitoring units 104 can include any or a combination of blood testing unit, weight
measurement unit, temperature sensor, pulse sensor, blood pressure sensor, glucose sensing
device, portable urine analyser, cardiotocography test unit, oxygen saturation measurement unit.
[00100] In an illustrative embodiment, the set of health monitoring units 104 can be
configured to monitor health of the pregnant women 302-1 and associated fetus based on the
physiological attributes. The input section 304 can facilitates monitoring health of the pregnant
women 302-1 and the associated fetus timely based on first trimester 304-4, second trimester
304-5, and the third trimester 304-6 respectively. The physiological attributes associated with the
set of health monitoring units 104 during first semester 304-4 can include weight attributes, baby
twin’s attributes, pulse rate attributes, glucose attributes, and the likes as shown in block 304-1.
The physiological attributes associated with the set of health monitoring units 104 during second
semester 304-5 can include thyroid attributes, blood sugar attributes, fitnutring attributes, glucose
attributes, and the likes as shown in block 304-2. The physiological attributes associated with the
set of health monitoring units 104 during third semester 304-6 can include blood level attributes,
hypertension attributes, and the likes as shown in block 304-3.
[00101] In an illustrative embodiment, the system 100 can be communicatively coupled with
the server 306 via one or more mobile computing device 306-10. The server 306 can be
configured to collect the physiological attributes associated with the pregnant women and store
in a centralized repository for further processing. The server 306 can facilitate in authentication
as shown in block 306-6 of the physiological attributes with help of credentials login as shown in
block 306-4. The server 306 can be a cloud server 306-9. The cloud server 306-9 can facilitate in
transmitting the physiological attributes of the pregnant women 302- and the associated fetus to
artificial intelligence expert system as shown in block 306-3 and can further transmit for expert
analysis as shown in block 306-2. The expert analysis of the physiological attributes can
facilitate in generating a report of the pregnant women 302-1 and associated fetus as shown in
block 306-7.In another illustrative embodiment, with help of the credentials login 306-4, doctor
306-5 can access the report and according to the expert analysis 306-2, the report can be given to
doctor 306-5 according to policy as shown in block 306-1.
23
[00102] FIG. 4 illustrates an exemplary input section of the proposed system, in accordance
with an embodiment of the present disclosure.
[00103] As illustrated in FIG. 4, the input section 304 can include a communication unit like
wireless fidelity (Wi-Fi) 402 but not limited to the likes the input section 304 can include one or
more mobile computing device 306-10, a set of health monitoring units 104. The one or more
mobile computing device 306-10 can be operatively coupled with the set of health monitoring
units 104. The one or more mobile computing device 306-10 can include analogue to digital
converters 306-10-1, microcontroller 306-10-2, and input and output devices 306-10-3. In an
illustrative embodiment, the set of health monitoring units 104 can be configured to operate in a
first mode and a second mode. the first mode can pertain to automatic monitoring of
physiological attributes and the second mode pertain to semi-automatic monitoring of the
physiological attributes of the pregnant women 302-1 and the associated fetus. In an illustrative
embodiment, the set of health monitoring units 104 can be classified as automatic 104-A and
semi-automatic 104-B.
[00104] In an illustrative embodiment, the automatic monitoring physiological attributes can
include pulse attributes, blood pressure attributes, glucose attributes, temperature attributes, and
heart rate attributes and the likes and the semi-automatic monitoring physiological attributes
comprises blood test attributes, urine attributes, oxygen saturation attributes and the likes. For
example, a weighing unit 104-A-1, and pulse measurement unit can measure weight attributes
and the pulse attributes automatically when they are connected to the pregnant women’s 302-1
body, readings can be converted into digital form by using converters and can be stored and sent
to cloud server 306 directly.
[00105] In an illustrative embodiment, the semi-automatic monitoring of the physiological
attributes can include, a blood test with blood testing unit 104-B-1. Though there are automatic
devices to perform complete blood tests but they are not cost effective. Therefore, a skilled
labour can aid in performing blood tests and can feed the blood test attributes in the system 100
and further to the cloud server 306 after converting the blood test attributes in digital form. In
another illustrative embodiment, the set of health monitoring units 104 can include temperature
sensor 104-A-2, cardiotocography unit 104-A-3, portable urine analyser 104-B-2, oxygen
saturation detector 104-A-4.
24
[00106] In an illustrative embodiment, the input section 304 can include principle components
for assessing pre pregnancy weight for height, weight gain attribute, oxygen saturation attribute,
temperature attribute, blood pressure attributes, Urine Micro albuminuria attributes, blood sugar
attributes, foetal heart rate (FHR), cardiotocographic attributes and the likes. in another
illustrative embodiment, for assessing prepregnancy weight for height, either BMI or to compare
the weight for height to a weight-for-height reference standard (e.g., MLI ideal weight tables)
and can be calculated. To minimize chance of calculation errors, it is advisable to use units of
measure used in clinic (i.e., metric or English system). BMI is the most common expression of
body weight corrected for height in use today and can be computed as follows:
[00107] A similar weight-for-height index can be achieved by expressing body weight as a
percentage of desirable body weight adjusted for height in following form:
[00108] In an illustrative embodiment, to determine numerically whether the rate of weight
gain is close to that recommended, the following equation can be used:
[00109] where wt is weight, GA is gestational age in weeks, t is time of most recent
measurement, and t — 1 = time of previous measurement. As an example, if body weight is 135
lb at week 20 of the pregnancy and 139 lb at week 25, then
[00110] In an illustrative embodiment, the oxygen saturation attributes can be equal to or
more than 95 percent among the pregnant women 302-1 during all trimesters. In another
illustrative embodiment, the temperature attributes can be within limit range of 97°F (36.1°C) to
99°F (37.2°C) but not limited to the likes. High temperature can be associated with viral or
25
bacterial infections, which must be managed timely. low body temperature of the pregnant
woman 302-1 can be associated with lesser birth length as well as birth weight of new-born.
[00111] In an illustrative embodiment, the blood pressure attribute scan include hypertension
along with similar attributes. Hypertensive disorders of pregnancy (HDP) can result in obstetric
complication that can affect5 percent to 10 percent of pregnancies, and can cause maternal and
neonatal morbidity and mortality. Therefore, blood pressure monitoring of the pregnant women
302-1 is essential. In another illustrative embodiment, presence of micro albuminuria in early
pregnancy can be associated with a fourfold increased risk of developing preeclampsia. Micro
albuminuria, albuminuria rates of 30-300 mg/g of creatinine and reduced estimated glomerular
filtration rate (eGFR) have been proposed as useful integrated markers of sub-clinical target
organ damage and renal endothelial injury resulting from local or systemic vascular damage .In
yet another illustrative embodiment, the range for urine micro albuminuria attributes can include
Less than 30 per gram of creatinine for normal, 30-300 mg/g of creatinine for early kidney
disease, and more than 300 for advanced kidney disease respectively.
[00112] In an illustrative embodiment, the pregnant women 302-1 with a fasting plasma
glucose limit range greater than or equal to 5.1 mmol/l (92 mg/dl) but less than 7.0 mmol/l (126
mg/dl) but not limited to the likes can be diagnosed with gestational diabetes (GDM) and the
fasting plasma glucose limit range greater than or equal to 7.0 mmol/l (126 mg/dl) but not
limited to the likes can be diagnosed with overt diabetes. In another illustrative embodiment,
normal FHR usually ranges from 120 to 160 beats per minute (bpm) in in utero period and can
be measured sono graphically from around 6 weeks and normal range varies during gestation,
increasing to around 170 bpm at 10 weeks and decreasing from then to around 130 bpm at term.
In another illustrative embodiment, myocardium begins to contract rhythmically by 3 weeks after
conception (from spontaneously depolarizing myocardial pacemaker cells in embryonic
heart) and is first visible on sonography around 6 weeks of gestation. The FHR can be then
usually around 100 to 120 beats per minute (bpm). FHR can increase progressively over
subsequent 2-3 weeks with predefined limit ranges 110 bpm (mean) by 5-6 weeks and 170 bpm
by 9-10 weeks but not limited to the likes, followed by a decrease in the FHR with predefined
limit ranges of 150 bpm by 14 weeks, 140 bpm by 20 weeks and 130 bpm by term but not
limited to the likes. in yet another illustrative embodiment, for healthy fetus, the FHR can be
regular, a beat-to-beat variation of approximately 5 to 15 beats per minute can be allowed.
26
[00113] In an illustrative embodiment, cardiotocography (CTG) can be used during pregnancy
to monitor the FHR and contractions of uterus, and can be commonly used in third trimester 304-
6. The CTG can facilitate in monitoring foetal well-being and early detection of foetal distress.
An abnormal CTG can indicate need for further investigations and potential intervention. The
CTG can help in providing description of Uterine activity (contractions), Baseline foetal heart
rate (FHR), Baseline FHR variability, Presence of accelerations, Periodic or episodic
decelerations and Changes or trends of FHR patterns over time.
[00114] FIG. 5 illustrates an exemplary server of the proposed system, in accordance with an
embodiment of the present disclosure.
[00115] As illustrated in FIG. 5, the server 306 can be configured to communicatively couple
with the system 100, doctor or medical practitioners 504, and emergency services 506 with help
of machine learning algorithm as show in block 502. In an illustrative embodiment, the serer 306
can be cloud serer with internet of things (IoT) support. The system 100 can be communicatively
coupled to a cloud server 306 from where a doctor 504 can view records based on physiological
attributes received from a set of health monitoring units 104. The doctor or the medical
practitioners 504 can aid in advising or suggesting medical procedures to be followed, and the
same cloud server 306 can be communicatively coupled to emergency services 506 such as
ambulance services, blood bank information, availability of doctors, and other essential services.
In another illustrative embodiment, the system 100 can be configured with mobile applications
based on above architecture and facilitates in providing complete guidance to pregnant women
302-1 timely.
[00116] In an illustrative embodiment, the system 100 can be configured to communicatively
couple with emergency services with help of communication unit, and where the emergency
services can include any or a combination of ambulance services, blood bank information
services, and medical services. In another illustrative embodiment, the communicative coupling
of the emergency services with help of the communication unit facilitates alerting the emergency
services, pregnant women and the examining entity for taking proper actions, and where the
alerting can be done with help of one or more computing devices.
[00117] In an illustrative embodiment, the communication unit can include any or a
combination of the communication unit comprises any or a combination of Wireless Fidelity
(Wi-Fi), Bluetooth, and Li-Fi, optical fibre, Wireless Local Area Network (WLAN), and ZigBee
27
and the likes. In another illustrative embodiment, the one or more computing devices can include
any or a combination of cell phone, laptop, palmtop, I pad, and tablet. In another illustrative
embodiment, the system 100 can be configured to communicatively couple with the one or more
computing devices, and transmit a first set of signals, a second set of signals, and the set of alert
signals to the one or more computing devices. The first set of signals can be obtained from the
authentication unit 102 and the second set of signals can be obtained from the set of health
monitoring units 104 respectively.
[00118] FIG. 6 illustrates an exemplary computer system to implement the proposed system,
in accordance with embodiments of the present disclosure.
[00119] As shown in FIG. 4, computer system 400 includes an external storage device 410, a
bus 420, a main memory 430, a read only memory 440, a mass storage device 450,
communication port 460, and a processor 470. A person skilled in the art will appreciate that
computer system may include more than one processor and communication ports. Examples of
processor 470 include, but are not limited to, an Intel® Itanium® or Itanium 2 processor(s), or
AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSOC™
system on a chip processors or other future processors. Processor 470 may include various
modules associated with embodiments of the present invention. Communication port 460 can be
any of an RS-232 port for use with a modem based dialup connection, a 10/100 Ethernet port, a
Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or
future ports. Communication port 560 may be chosen depending on a network, such a Local
Area Network (LAN), Wide Area Network (WAN), or any network to which computer system
connects.
[00120] In an embodiment, the memory 430 can be Random Access Memory (RAM), or any
other dynamic storage device commonly known in the art. Read only memory 440 can be any
static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM)
chips for storing static information e.g., start-up or BIOS instructions for processor 470. Mass
storage 350 may be any current or future mass storage solution, which can be used to store
information and/or instructions. Exemplary mass storage solutions include, but are not limited to,
Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment
(SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial
Bus (USB) and/or Firewire interfaces), e.g. those available from Seagate (e.g., the Seagate
28
Barracuda 7102 family) or Hitachi (e.g., the Hitachi Deskstar 7K1000), one or more optical
discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks (e.g., SATA
arrays), available from various vendors including Dot Hill Systems Corp., LaCie, Nexsan
Technologies, Inc. and Enhance Technology, Inc.
[00121] In an embodiment, the bus 420 communicatively couples processor(s) 470 with the
other memory, storage and communication blocks. Bus 420 can be, e.g. a Peripheral Component
Interconnect (PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB
or the like, for connecting expansion cards, drives and other subsystems as well as other buses,
such a front side bus (FSB), which connects processor 470 to software system.
[00122] In another embodiment, operator and administrative interfaces, e.g. a display,
keyboard, and a cursor control device, may also be coupled to bus 420 to support direct operator
interaction with computer system. Other operator and administrative interfaces can be provided
through network connections connected through communication port 460. External storage
device 410 can be any kind of external hard-drives, floppy drives, IOMEGA® Zip Drives,
Compact Disc - Read Only Memory (CD-ROM), Compact Disc - Re-Writable (CD-RW), Digital
Video Disk - Read Only Memory (DVD-ROM). Components described above are meant only to
exemplify various possibilities. In no way should the aforementioned exemplary computer
system limit the scope of the present disclosure.
[00123] It should be apparent to those skilled in the art that though the embodiments of the
present disclosure are explained with reference to a computing device 106, a vehicle, 112 and an
entity 108 but the disclosure is not limited to the computing devices 106, the vehicles 112, and
the entities 108. The embodiments of the present disclosure are equally implementable for a
plurality of computing devices 106, a plurality of entities 108, and a plurality of vehicles 112.
[00124] Thus, it will be appreciated by those of ordinary skill in the art that the diagrams,
schematics, illustrations, and the like represent conceptual views or processes illustrating
systems and methods embodying this invention. The functions of the various elements shown in
the figures may be provided through the use of dedicated hardware as well as hardware capable
of executing associated software. Similarly, any switches shown in the figures are conceptual
only. Their function may be carried out through the operation of program logic, through
dedicated logic, through the interaction of program control and dedicated logic, or even
manually, the particular technique being selectable by the entity implementing this invention.
29
Those of ordinary skill in the art further understand that the exemplary hardware, software,
processes, methods, and/or operating systems described herein are for illustrative purposes and,
thus, are not intended to be limited to any particular named.
[00125] While embodiments of the present invention have been illustrated and described, it
will be clear that the invention is not limited to these embodiments only. Numerous
modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled
in the art, without departing from the spirit and scope of the invention, as described in the claim.
[00126] In the foregoing description, numerous details are set forth. It will be apparent,
however, to one of ordinary skill in the art having the benefit of this disclosure, that the present
invention may be practiced without these specific details. In some instances, well-known
structures and devices are shown in block diagram form, rather than in detail, to avoid obscuring
the present invention.
[00127] As used herein, and unless the context dictates otherwise, the term "coupled to" is
intended to include both direct coupling (in which two elements that are coupled to each other
contact each other) and indirect coupling (in which at least one additional element is located
between the two elements). Therefore, the terms "coupled to" and "coupled with" are used
synonymously. Within the context of this document terms "coupled to" and "coupled with" are
also used euphemistically to mean “communicatively coupled with” over a network, where two
or more devices are able to exchange data with each other over the network, possibly via one or
more intermediary device.
[00128] It should be apparent to those skilled in the art that many more modifications besides
those already described are possible without departing from the inventive concepts herein. The
inventive subject matter, therefore, is not to be restricted except in the spirit of the appended
claims. Moreover, in interpreting both the specification and the claims, all terms should be
interpreted in the broadest possible manner consistent with the context. In particular, the terms
“comprises” and “comprising” should be interpreted as referring to elements, components, or
steps in a non-exclusive manner, indicating that the referenced elements, components, or steps
may be present, or utilized, or combined with other elements, components, or steps that are not
expressly referenced. Where the specification claims refer to at least one of something selected
from the group consisting of A, B, C …. and N, the text should be interpreted as requiring only
one element from the group, not A Plus N, or B plus N, etc.
30
[00129] While the foregoing describes various embodiments of the invention, other and
further embodiments of the invention may be devised without departing from the basic scope
thereof. The scope of the invention is determined by the claims that follow. The invention is not
limited to the described embodiments, versions or examples, which are included to enable a
person having ordinary skill in the art to make and use the invention when combined with
information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE PRESENT DISCLOSURE
[00130] The present disclosure provides a complete system that facilitates in providing health
monitoring of pregnant women and associated fetus.
[00131] The present disclosure provides a system that is easy to integrate and is portable.
[00132] The present disclosure provides a system that is internet of things (IoT) based.
[00133] The present disclosure provides a system that aids in providing immediate results and
attention towards pregnant women and fetus.
[00134] The present disclosure provides a system that helps a large community of
underprivileged women for taking proper care during pregnancy.
[00135] The present disclosure provides a system that operates after proper authentication and
ensures credibility of the pregnant women.
[00136] The present disclosure provides a system that facilitates in eradicating societal
imbalances.
[00137] The present disclosure provides a system that enables providing feasible solution to
solve major health problems related to the pregnant women and fetus.
[00138] The present disclosure provides a multifunctional system that can be linked with
essential services to provide medical assistance and guidance to the pregnant women and fetus.
[00139] The present disclosure provides an efficient, automated, safe, secure, authentic,
reliable, internet of things based (IoT) based system for health monitoring of the pregnant
women and the associated fetus.

We Claim:

1. A health monitoring system for a pregnant women and fetus, said system comprising:
an authentication unit configured to extract authenticating attributes associated with the
pregnant women, and an examining entity, and correspondingly generate a first set of signals;
a set of health monitoring units configured to detect physiological attributes of the
pregnant women and associated fetus, and correspondingly generate a second set of signals, and
wherein the set of monitoring units is configured to operate in first mode and a second mode;
a processing unit operatively coupled with authentication unit, and the set of monitoring
unit, wherein the processing unit comprises of one or more processors coupled with a memory,
the memory storing instructions executable by the one or more processors and configured to:
extract a third set of signals from the first set of signals, and a fourth set of signals
from the second set of signals wherein the third set of signals pertain to the authenticating
attributes and the fourth set of signals pertain to physiological attributes;
verify the authenticating attributes with a first dataset comprising preregistered
authentication attributes, wherein the system is configured to allow detection of the
physiological attributes upon positive verification of both the pregnant women and the
examining entity;
compare the physiological attributes with a second dataset, wherein the second
dataset comprises predetermined limit ranges;
generate a set of alert signals, when at least one of the physiological attributes are
beyond the predetermined limit ranges.
2. The system as claimed in claim 1, wherein the set of health monitoring units comprises any or
a combination of blood testing unit, weight measurement unit, temperature sensor, pulse sensor,
blood pressure sensor, glucose sensing device, portable urine analyzer, cardiotocography test
unit, oxygen saturation measurement unit.
3. The system as claimed in claim 1, wherein the first mode of the set of health monitoring units
pertains to automatic monitoring of the physiological attributes associated with the pregnant
women and the associated fetus, wherein the automatic monitoring physiological attributes
32
comprises pulse attributes, blood pressure attributes, glucose attributes, temperature attributes,
and heart rate attributes.
4. The system as claimed in claim 1, wherein the second mode of the health monitoring units
pertains to semi-automatic monitoring of the physiological attributes associated with the
pregnant women and the fetus, wherein the semi-automatic monitoring physiological attributes
comprises blood test attributes, urine attributes, oxygen saturation attributes.
5. The system as claimed in claim 1, wherein the system is configured to communicatively
couple with one or more computing devices, and transmit the first set of signals, the second set
of signals, and the set of alert signals to the one or more computing devices, and wherein the one
or more computing devices comprise any or a combination of cell phone, laptop, palmtop, I pad,
and tablet.
6. The system as claimed in claim 5, wherein the semi-automatic monitoring is performed by the
examining entity and correspondingly physiological attributes of respective pregnant women is
transmitted to the computing device.
7. The system as claimed in claim 5, wherein the system comprises of a communication unit
operatively coupled with the processing unit, and configured to communicatively couple the
computing device with the processing unit, and wherein the communication unit comprises any
or a combination of Wireless Fidelity (Wi-Fi), Bluetooth, and Li-Fi, optical fiber, Wireless Local
Area Network (WLAN), and ZigBee.
8. The system as claimed in claim 8, wherein the system is configured to communicatively
couple with emergency services with help of the communication unit, and wherein the
emergency services comprise any or a combination of ambulance services, blood bank
information services, and medical services.
9. The system as claimed in claim 9, wherein the communicative coupling of the emergency
services with help of the communication unit facilitates alerting the emergency services,
pregnant women and the examining entity for taking proper actions, and wherein the alerting is
done with help of the one or more computing devices.
10. The system as claimed in claim 1, wherein the authentication unit comprises any or a
combination of finger print scanner, retina scanner, image scanner, face scanner, hand geometry
scanner, speaker and the authentication attributes comprises any or a combination of finger prints
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recognition, retina blood vessels recognition, image recognition, face recognition, hand geometry
recognition, and voice identification.