[0001] The present disclosure relates to cardio-vascular monitoring. More particularly, the
present disclosure relates to a system and method for monitoring cardio-vascular parameters of a
subject.
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] With changing life-styles, food habits, and consumption of unhygienic and
cholesterol loaded food items, heart disease has become one of the major cause of death and
disability all over the world. Excessive increase in blood pressure, abnormal ECG are the main
symptoms of heart related diseases, such as, Arrhythmia, Tachycardia, Bradycardia, etc. ECG is
generally collected and interpreted by medical practitioner and experts, hence, the correctness of
collected readings depends on the ability of the medical practitioner and experts. Further, such
diseases can be cured, only if diagnosed early and correctly, which is a tough task, as many a times
patient himself/ herself do not feel any symptoms, or even if such symptoms appear the patient
generally delays to go for checkup.
[0004] There are some invasive and non-invasive techniques for the detection of heart
diseases but such techniques require extensive medical set-up and high medical expertise. The said
techniques require sophisticated lab set-ups and expert medicos, which can result in increased cost
of the said technique. Moreover, such facilities can be available in urban cities, but, rural areas
lack such sophisticated setups and expert medicos. Also, tests involving such techniques are highly
costly, which become burden on patients. Moreover, available techniques lack self-actuation, and
cannot even predict severity of disease.
[0005] There is, therefore, a need in the art to provide an efficient, smart, cost-effective,
and user-friendly system to overcome the above-mentioned problems, and, provide a reliable
3
means for efficient detection of heart diseases, prediction of severity of the disease based on
intelligent computational approaches, and communicating it to the end users.
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 provide a system and method for
monitoring cardio-vascular parameters of a subject.
[0008] It is another object of the present disclosure to provide a system and method for
measuring blood pressure and monitoring ECG.
[0009] It is another object of the present disclosure to provide a system and method for
generating graphical representations based on ECG signals.
[0010] It is another object of the present disclosure to provide a system and method for
conserving electric power.
[0011] It is another object of the present disclosure to provide a portable, wearable,
accurate, fast, efficient, and cost effective system.
SUMMARY
[0012] The present disclosure relates to cardio-vascular monitoring. More particularly, the
present disclosure relates to a system and method for monitoring cardio-vascular parameters of a
subject.
[0013] An aspect of the present disclosure pertains to a system to monitor cardio-vascular
parameters of a subject, wherein the system comprises: a first set of sensors to sense a first set of
parameters associated with the subject, and correspondingly generate a first set of signals; a second
set of sensors to sense a second set of parameters associated with the subject, and correspondingly
generate a second set of signals; and a monitoring unit operatively coupled to the first set of sensors
and the second set of sensors, the monitoring unit comprising one or more processors configured
coupled with a memory, the memory storing instructions executable by the one or more processors
and configured to: receive the first set of signals from the first set of sensors; extract the first set
of parameters from the received first set of signals; compare the extracted first set of parameters
with a first dataset comprising pre-determined limit ranges; and generate a set of actuation signals
4
in case at least one of the extracted first set of parameters is beyond the pre-determined limit
ranges; whereby in response to the generated set of actuation signals, the second set of sensors
sense the second set of parameters, and correspondingly generate the second set of signals, and the
generated second set of signals may be transmitted to the monitoring unit.
[0014] In an aspect, the first set of parameters may comprise any or a combination of
systolic pressure and diastolic pressure.
[0015] In an aspect, the second set of parameters comprises any or a combination of cardiac
cycle, heart muscle depolarisations, SA node (sinoatrial node) activity, and heart rhythm.
[0016] In an aspect, the monitoring unit may extract the second set of parameters from the
second set of signals, and may convert the extracted second set of parameters into a set of graphical
representations.
[0017] In an aspect, the monitoring unit may generate a set of status signals based on
comparison of any or a combination of the extracted first set of parameters, the extracted second
set of parameters and the generated graphical representation with a second dataset comprising predetermined thresholds, wherein the set of status signals may be indicative of status of cardiovascular parameters of the subject.
[0018] In an aspect, the monitoring unit may generate a set of alert signals when any or a
combination of the extracted first set of parameters, the extracted second set of parameters and the
generated graphical representation is beyond the pre-determined thresholds.
[0019] In an aspect, the system may comprise a display unit operatively coupled to the
monitoring unit, and configured to represent any or a combination of the sensed first set of
parameters, the sensed second set of parameters, the pre-determined threshold limits, comparison
between the sensed first set of parameters and the pre-determined threshold limits, generated
graphical representation.
[0020] In an aspect, the system may comprise one or more computing devices operatively
coupled to the monitoring unit, whereby any or a combination of the first set of signals, the second
set of signals, the set of status signals, and the set of alert signals may be processed by one or more
processors of the one or more computing devices so as to be represented at the one or more
computing devices.
[0021] In an aspect, the system may be configured in form of a wearable device.
5
[0022] Another aspect of the present disclosure pertains to a method for monitoring cardiovascular parameters of a subject, wherein the method comprises steps of: sensing, at a first set of
sensors, a first set of parameters associated with the subject, and correspondingly generate a first
set of signals; receiving, at one or more processors of a monitoring unit, the first set of signals
from the first set of sensors; extracting, at the one or more processors, the first set of parameters
from the received first set of signals; comparing, at the one or more processors, the extracted first
set of parameters with a first dataset comprising pre-determined limit ranges; and generating, at
the one or more processors, a set of actuation signals in case at least one of the extracted first set
of parameters is beyond the pre-determined limit ranges; whereby in response to the generated set
of actuation signals, the second set of sensors sense a second set of parameters, and
correspondingly generate a second set of signals, and the generated second set of signals are
transmitted to the monitoring unit.
BRIEF DESCRIPTION OF THE DRAWINGS
[0023] 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.
[0024] The diagrams are for illustration only, which thus is not a limitation of the present
disclosure, and wherein:
[0025] FIG. 1 illustrates exemplary block diagram of the proposed system to illustrate its
overall working in accordance with an embodiment of the present disclosure.
[0026] FIG. 2 illustrates exemplary functional components of a monitoring unit, in
accordance with an exemplary embodiment of the present disclosure.
[0027] FIG. 3 illustrates a method for monitoring cardio-vascular parameters of a subject,
in accordance with an embodiment of the present disclosure.
DETAILED DESCRIPTION
[0028] The following is a detailed description of embodiments of the disclosure depicted
in the accompanying drawings. The embodiments are in such detail as to clearly communicate the
disclosure. However, the amount of detail offered is not intended to limit the anticipated variations
6
of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and
alternatives falling within the spirit and scope of the present disclosure as defined by the appended
claims.
[0029] Various terms as used herein are shown below. To the extent a term used in a claim
is not defined below, it should be given the broadest definition persons in the pertinent art have
given that term as reflected in printed publications and issued patents at the time of filing.
[0030] In some embodiments, the numerical parameters set forth in the written description
and attached claims are approximations that can vary depending upon the desired properties sought
to be obtained by a particular embodiment. In some embodiments, the numerical parameters
should be construed in light of the number of reported significant digits and by applying ordinary
rounding techniques. Notwithstanding that the numerical ranges and parameters setting forth the
broad scope of some embodiments of the invention are approximations, the numerical values set
forth in the specific examples are reported as precisely as practicable. The numerical values
presented in some embodiments of the invention may contain certain errors necessarily resulting
from the standard deviation found in their respective testing measurements.
[0031] 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.
[0032] The recitation of ranges of values herein is merely intended to serve as a shorthand
method of referring individually to each separate value falling within the range. Unless otherwise
indicated herein, each individual value is incorporated into the specification as if it were
individually recited herein. All methods described herein can be performed in any suitable order
unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and
all examples, or exemplary language (e.g. “such as”) provided with respect to certain embodiments
herein is intended merely to better illuminate the invention and does not pose a limitation on the
scope of the invention otherwise claimed. No language in the specification should be construed
as indicating any non-claimed element essential to the practice of the invention.
[0033] Groupings of alternative elements or embodiments of the invention disclosed herein
are not to be construed as limitations. Each group member can be referred to and claimed
individually or in any combination with other members of the group or other elements found
7
herein. One or more members of a group can be included in, or deleted from, a group for reasons
of convenience and/or patentability. When any such inclusion or deletion occurs, the specification
is herein deemed to contain the group as modified thus fulfilling the written description of all
groups used in the appended claims.
[0034] The present disclosure relates to cardio-vascular monitoring. More particularly, the
present disclosure relates to a system and method for monitoring cardio-vascular parameters of a
subject.
[0035] According to an aspect the present disclosure pertains to a system to monitor cardiovascular parameters of a subject, wherein the system includes: a first set of sensors to sense a first
set of parameters associated with the subject, and correspondingly generate a first set of signals; a
second set of sensors to sense a second set of parameters associated with the subject, and
correspondingly generate a second set of signals; and a monitoring unit operatively coupled to the
first set of sensors and the second set of sensors, the monitoring unit can be including one or more
processors configured coupled with a memory, the memory storing instructions executable by the
one or more processors and configured to: receive the first set of signals from the first set of
sensors; extract the first set of parameters from the received first set of signals; compare the
extracted first set of parameters with a first dataset comprising pre-determined limit ranges; and
generate a set of actuation signals in case at least one of the extracted first set of parameters is
beyond the pre-determined limit ranges; whereby in response to the generated set of actuation
signals, the second set of sensors sense the second set of parameters, and correspondingly generate
the second set of signals, and the generated second set of signals can be transmitted to the
monitoring unit.
[0036] In an embodiment, the first set of parameters can include any or a combination of
systolic pressure and diastolic pressure.
[0037] In an embodiment, the second set of parameters can include any or a combination
of cardiac cycle, heart muscle depolarisations, SA node (sinoatrial node) activity, and heart
rhythm.
[0038] In an embodiment, the monitoring unit can extract the second set of parameters
from the second set of signals, and can convert the extracted second set of parameters into a set of
graphical representations
8
[0039] In an embodiment, the monitoring unit can generate a set of status signals based on
comparison of any or a combination of the extracted first set of parameters, the extracted second
set of parameters and the generated graphical representation with a second dataset comprising predetermined thresholds, wherein the set of status signals can be indicative of status of cardiovascular parameters of the subject.
[0040] In an embodiment, the monitoring unit can generate a set of alert signals when any
or a combination of the extracted first set of parameters, the extracted second set of parameters
and the generated graphical representation is beyond the pre-determined thresholds.
[0041] In an embodiment, the system can include a display unit operatively coupled to the
monitoring unit, and configured to represent any or a combination of the sensed first set of
parameters, the sensed second set of parameters, the pre-determined threshold limits, comparison
between the sensed first set of parameters and the pre-determined threshold limits, generated
graphical representation.
[0042] In an embodiment, the system can include one or more computing devices
operatively coupled to the monitoring unit, whereby any or a combination of the first set of signals,
the second set of signals, the set of status signals, and the set of alert signals can be processed by
one or more processors of the one or more computing devices so as to be represented at the one or
more computing devices.
[0043] In an embodiment, the system can be configured in form of a wearable device.
[0044] According to another aspect the present disclosure pertains to a method for
monitoring cardio-vascular parameters of a subject, wherein the method includes steps of: sensing,
at a first set of sensors, a first set of parameters associated with the subject, and correspondingly
generate a first set of signals; receiving, at one or more processors of a monitoring unit, the first
set of signals from the first set of sensors; extracting, at the one or more processors, the first set of
parameters from the received first set of signals; comparing, at the one or more processors, the
extracted first set of parameters with a first dataset comprising pre-determined limit ranges; and
generating, at the one or more processors, a set of actuation signals in case at least one of the
extracted first set of parameters is beyond the pre-determined limit ranges; whereby in response to
the generated set of actuation signals, the second set of sensors sense a second set of parameters,
and correspondingly generate a second set of signals, and the generated second set of signals can
be transmitted to the monitoring unit.
9
[0045] FIG. 1 illustrates exemplary block diagram of the proposed system to illustrate its
overall working in accordance with an embodiment of the present disclosure.
[0046] As illustrated in the FIG. 1, in an embodiment, the proposed system 100 includes a
first set of sensors 102, a second set of sensors 104, and a monitoring unit 106, such that the first
set of sensors 102 and the second set of sensors 104 can be operatively coupled to the monitoring
unit 106. In an embodiment, the proposed system 100 can be configured in form of a wearable
device, such as, but not limited to, watch, ring, bracelet, necklace, and the likes, to facilitate
effective monitoring of the cardio-vascular parameters of the subject.
[0047] In an embodiment, the first set of sensors 102 can include any or a combination of
pressure sensors, piezo-resistive elements, sphygmomanometer, and the likes, and can be
configured to sense a first set of parameters associated with the subject, where the first set of
parameters can include any or a combination of systolic pressure and diastolic pressure. The first
set of sensors 102 can generate a first set of signals corresponding to the sensed first set of
parameters.
[0048] In an embodiment, the second set of sensors 102 can include any or a combination
of Electrocardiogram (also, referred to as ECG, herein) surface electrodes, ECG sensor,
Electromyogram sensor, piezo-resistive sensor, LED, opto-diode, holter, and the likes, and can be
configured to sense a second set of parameters associated with the subject, where the second set
of parameters can include any or a combination of cardiac cycle, heart muscle depolarisations, SA
node (sinoatrial node) activity, heart rhythm, and the likes. The second set of sensors 102 can
generate a second set of signals corresponding to the sensed second set of parameters. In an
illustrative embodiment, the first set of parameters and the second set of parameters can be subsets
of the cardio-vascular parameters.
[0049] In an embodiment, the monitoring unit 106 can receive the first set of signals from
the first set of sensors 102, and, can, further, be configured to extract the first set of parameters
from the received first set ofsignals. In an embodiment, the monitoring unit 106 can be configured
to compare the extracted first set of parameters with a first dataset that can be including predetermined limit ranges. In an illustrative embodiment, the first dataset can be stored in the
proposed system 100 or can be obtained from an external source such as, but not limited to, cloud,
server, network, hard disk, soft disk and computing devices. In an embodiment, the monitoring
10
unit 106 can generate a set of actuation signals in case at least one of the extracted first set of
parameters is found to be beyond the pre-determined limit ranges.
[0050] In an embodiment, the set of actuation signals generated by the monitoring unit 106
can be transmitted to the second set of sensors 104, such that on receiving the set of actuation
signals, the second set of sensors 104 can sense the second set of parameters, and can
correspondingly generate the second set of signals, which can be transmitted to the monitoring unit
106. In an illustrative embodiment, the second set of sensors 104 are actuated, based on the
comparison, which can, on one hand aid in analysing of the second set of parameters as and when
required, and, on other hand can enable conserving of electrical power as the second set of sensors
104 are operated only when required.
[0051] In an embodiment, the monitoring unit 106 can be configured to extract the second
set of parameters from the second set of signals. The monitoring unit 106 can, further, be
configured to convert the extracted second set of parameters into a set of graphical representations.
In an illustrative embodiment, the set of graphical representations can be generated using
Convolutional Neural Networks (CNNs).
[0052] In an embodiment, the monitoring unit 106 can be configured to compare any or a
combination of the extracted first set of parameters, the extracted second set of parameters and the
generated graphical representation with a second dataset that can be including pre-determined
thresholds. In an illustrative embodiment, the second dataset can be stored in the proposed system
100 or can be obtained from an external source such as, but not limited to, cloud, server, network,
hard disk, soft disk and computing devices.
[0053] In an embodiment, the monitoring unit 106 can be configured to generate a set of
status signals based on the comparison, where the set of status signals can be indicative of status
of cardio-vascular parameters of the subject. In another embodiment, the monitoring unit 106 can
be configured to generate a set of alert signals when any or a combination of the extracted first set
of parameters, the extracted second set of parameters and the generated graphical representation is
found to be beyond the pre-determined thresholds. The generate set of alert signals can be
indicative of a problem or a disease.
[0054] In an embodiment, the proposed system 100 can include a display unit 108, such
that, the display unit 108 can be operatively coupled to the monitoring unit 106. In an embodiment,
the display unit 108 can be configured to process any or a combination of the set of status signals
11
and the set of alert signals to represent any or a combination of the sensed first set of parameters,
the sensed second set of parameters, the pre-determined threshold limits, comparison between the
sensed first set of parameters and the pre-determined threshold limits, generated graphical
representation, and the likes.
[0055] In an embodiment, the proposed system 100 can include one or more computing
devices (not shown), which can be operatively coupled to the monitoring unit 106. At least one of
the one or more computing devices can receive any or a combination of the first set of signals, the
second set of signals, the set of status signals, and the set of alert signals, which can be processed
by one or more processors of the one or more computing devices so as to be represented, through
the means of graphics, texts, audio, video, and the likes, at the one or more mobile computing
devices.
[0056] In an illustrative embodiment, the proposed system 100 can be efficiently used for
monitoring and determining heart related diseases, such as, but not limited to, Arrhythmia,
Tachycardia, and Bradycardia. The first set of sensors 102 can facilitate monitoring of blood
pressure of the subject. If the blood pressure exceeds a certain level, then the monitoring unit 106
can trigger the second set ofsensors 104, which can facilitate recording of ECG of the subject. The
monitoring unit 106 can convert the recorded ECG to ECG graphs. The ECG graphs can be stored
at cloud, for example, in for of an image. The blood pressure and the ECG graph can be analysed,
using CNNs, and hence, information about severity and possibility of a disease can be derived.
Further, in case the severity of the disease is determined to be higher, corresponding details can be
communicated to emergency numbers of computing devices, which are provided at the time of
device registration.
[0057] FIG. 2 illustrates exemplary functional components of a monitoring unit, in
accordance with an exemplary embodiment of the present disclosure.
[0058] As illustrated, the monitoring unit 106 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 computerreadable instructions stored in a memory 204 of the monitoring unit 106. The memory 204 can
store one or more computer-readable instructions or routines, which may be fetched and executed
12
to create or share the data units over a network service. The memory 204 can include any nontransitory storage device including, for example, volatile memory such as RAM, or non-volatile
memory such as EPROM, flash memory, and the like.
[0059] In an embodiment, the monitoring unit 106 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 Monitoring unit 106 with various devices coupled to the
Monitoring unit 106. The interface(s) 206 may also provide a communication pathway for one or
more components of the monitoring unit 106. Examples of such components include, but are not
limited to, processing engine(s) 208 and data 210.
[0060] 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 monitoring unit 106 can include the machinereadable 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 the
monitoring unit 106 and the processing resource. In other examples, the processing engine(s) 208
may be implemented by electronic circuitry. The data 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.
[0061] In an embodiment, the processing engine(s) 208 can include an extraction unit 212,
a comparison unit 214, a graph generation unit 216, and other unit(s) 218. The other unit(s) 218
can implement functionalities that supplement applications or functions performed by the
monitoring unit 106 or the processing engine(s) 208.
13
[0062] In an embodiment, the extraction unit 212 associated with the monitoring unit 106
can facilitate extraction of a first set of parameters from a first set of signals that can be received
from a first set of sensors 102. In an embodiment, the first set of sensors 102 can include any or a
combination of pressure sensors, piezo-resistive elements, sphygmomanometer, and the likes, and
can be configured to sense the first set of parameters associated with a subject, where the first set
of parameters can include any or a combination of systolic pressure and diastolic pressure. The
first set of sensors 102 can generate a first set of signals corresponding to the sensed first set of
parameters. For example, if the first set of sensors 102 sense parameters associated with blood
pressure of the subject, and correspondingly generate the first set of signals, then, the extraction
unit 212 can extract the parameters associated with the blood pressure of the subject from the first
set of signals.
[0063] In another embodiment, the extraction unit 212 can facilitate extraction of a second
set of parameters from a second set of signals that can be received from a second set of sensors.
102. In an embodiment, the second set of sensors 102 can include any or a combination of
Electrocardiogram (also, referred to as ECG, herein) surface electrodes, ECG sensor,
Electromyogram sensor, piezo-resistive sensor, LED, opto-diode, holter, and the likes, and can be
configured to sense the second set of parameters associated with the subject, where the second set
of parameters can include any or a combination of cardiac cycle, heart muscle depolarisations, SA
node (sinoatrial node) activity, heart rhythm, and the likes. The second set of sensors 102 can
generate a second set of signals corresponding to the sensed second set of parameters. In an
illustrative embodiment, the first set of parameters and the second set of parameters can be subsets
of the cardio-vascular parameters. For example, if the second set of sensors 104 sense parameters
associated with ECG of the subject, and correspondingly generate the second set of signals, then,
the extraction unit 212 can extract the parameters associated with the ECG of the subject from the
second set of signals.
[0064] In an embodiment, the comparison unit 214 associated with the monitoring unit 106
can enable comparison of the extracted first set of parameters with a first dataset that can be
including pre-determined limit ranges, and correspondingly a set of actuation signals can be
generated in case at least one of the extracted first set of parameters is found to be beyond the predetermined limit ranges. In an embodiment, the generated set of actuation signals can be
transmitted to the second set of sensors 104, such that on receiving the set of actuation signals the
14
second set of sensors 104 can sense the second set of parameters, and can correspondingly generate
the second set of signals. For example, if the parameters associated with the blood pressure of the
subject, which are sensed by the first set of sensors 102 are beyond the pre-determined limit ranges,
then, the set of actuation signals can be generated, and, further, can be transmitted to the second
set of sensors 104, such that on receiving the set of actuation signals the second set of sensors 104
can sense the second set of parameters, and can correspondingly generate the second set of signals.
[0065] In an illustrative embodiment, the second set of sensors 104 are actuated, based on
the comparison, which can, on one hand aid in analysing of the second set of parameters as and
when required, and, on other hand can enable conserving of electrical power as the second set of
sensors 104 are operated only when required.
[0066] In an embodiment, the comparison unit 214 can facilitate comparison of any or a
combination of the extracted first set of parameters and the extracted second set of parameters with
a second dataset that can be including pre-determined thresholds. In an embodiment, a set of status
signals can be generated based on the comparison, where the set of status signals can be indicative
of status of cardio-vascular parameters of the subject. In another embodiment, a set of alert signals
can be generated when any or a combination of the extracted first set of parameters and the
extracted second set of parameters is found to be beyond the pre-determined thresholds. For
example, a set of status signals can be generated based on the comparison of any or a combination
of the parameters associated with the blood pressure and the parameters associated with the ECG
with the second dataset, which can be indicative of status of cardio-vascular parameters of the
subject. In case, the parameters associated with any or a combination of the blood pressure and the
ECG of the subject, which are sensed by the first set of sensors 102 and the second set of sensors
104, are found to be beyond the pre-determined thresholds, then, the set of alert signals can be
generated, and, further, can be transmitted to the registered computing devices.
[0067] In an embodiment, the graph generation unit 216 associated with the monitoring
unit 106 can facilitate generation of a set of graphical representations from the extracted second
set of parameters. In an illustrative embodiment, the set of graphical representations can be
generated using Convolutional Neural Networks (CNNs). The set of graphical representations can
be generated through various graph generating techniques, such as, but not limited to, graph
anonymization, graph sampling, graph compression, and graph extrapolation. In an embodiment,
the generated set of graphical representations can also be compared, along with any or a
15
combination of the extracted first set of parameters and the extracted second set of parameters,
with the second dataset, and correspondingly any or a combination of the set of status signals and
the set of alert signals can be generated. In an illustrative embodiment, a display unit 108 can be
configured to process any or a combination of the set of status signals and the set of alert signals
to represent any or a combination of the sensed first set of parameters, the sensed second set of
parameters, the pre-determined threshold limits, comparison between the sensed first set of
parameters and the pre-determined threshold limits, generated graphical representation, and the
likes. In another illustrative embodiment, one or more computing devices can be registered with
the proposed system 100, and whereby at least one of the one or more computing devices can
receive any or a combination of the first set of signals, the second set of signals, the set of status
signals, and the set of alert signals, which can be processed by one or more processors of the one
or more computing devices so as to be represented, through the means of graphics, texts, audio,
video, and the likes, at the one or more mobile computing devices.
[0068] FIG. 3 illustrates a method for monitoring cardio-vascular parameters of a subject,
in accordance with an embodiment of the present disclosure.
[0069] As illustrated, in an embodiment, FIG. 3 illustrates a method for monitoring cardiovascular parameters of a subject. The proposed method includes a step 302 of sensing, at a first set
of sensors 102, a first set of parameters associated with the subject, and correspondingly generate
a first set of signals. In an embodiment, the first set of sensors 102 can include any or a combination
of pressure sensors, piezo-resistive elements, sphygmomanometer, and the likes, and can be
configured to sense a first set of parameters associated with the subject, where the first set of
parameters can include any or a combination of systolic pressure and diastolic pressure.
[0070] In an embodiment, the proposed method includes a step 304 of receiving, at one or
more processors of a monitoring unit 106, the first set of signals that are generated in the step 302
from the first set of sensors 102.
[0071] In an embodiment, the proposed method includes a step 306 of extracting, at the
one or more processors, the first set of parameters from the first set of signals that are received in
the step 304.
[0072] In an embodiment, the proposed method includes a step 308 of comparing, at the
one or more processors, the extracted first set of parameters with a first dataset that can be
including pre-determined limit ranges. In an illustrative embodiment, the first dataset can be stored
16
in the data 210 of the monitoring unit 106 or can be obtained from an external source such as, but
not limited to, cloud, server, network, hard disk, soft disk and computing devices.
[0073] In an embodiment, the proposed method includes a step 310 of generating, at the
one or more processors, a set of actuation signals in case at least one of the extracted first set of
parameters is found to be beyond the pre-determined limit ranges, based on the comparison
performed in the step 308.
[0074] In an embodiment, the proposed method includes a step 312 of sensing, by a second
set of sensors 104, a second set of parameters, in response to the set of actuation signals that are
being generated in the step 310. The second set of sensors 104 can sense the second set of
parameters, and can correspondingly generate a second set of signals.
[0075] In an embodiment, the proposed method can include a step of generating, at the one
or more processors, a set of graphical representations based on the extracted second set of
parameters. In an illustrative embodiment, the set of graphical representations can be generated
using Convolutional Neural Networks (CNNs).
[0076] In an embodiment, the proposed method can include a step of comparing, at the one
or more processors, any or a combination of the extracted first set of parameters, the extracted
second set of parameters and the generated graphical representation with a second dataset that can
be including pre-determined thresholds. In an illustrative embodiment, the second dataset can be
stored in the data 210 of the monitoring unit 106 or can be obtained from an external source such
as, but not limited to, cloud, server, network, hard disk, soft disk and computing devices.
[0077] In an embodiment, the proposed method can include a step of generating, at the one
or more processors, a set of status signals based on the comparison, where the set of status signals
can be indicative of status of cardio-vascular parameters of the subject.
[0078] In another embodiment, the proposed method can include a step of generating, at
the one or more processors, a set of alert signals when any or a combination of the extracted first
set of parameters, the extracted second set of parameters and the generated graphical representation
is found to be beyond the pre-determined thresholds. In an embodiment, a display unit 108 can be
operatively coupled to the monitoring unit 106, whereby the display unit 108 can be configured to
process any or a combination of the set of status signals and the set of alert signals to represent any
or a combination of the sensed first set of parameters, the sensed second set of parameters, the predetermined threshold limits, comparison between the sensed first set of parameters and the pre-
17
determined threshold limits, generated graphical representation, and the likes. In an embodiment,
one or more computing devices can be operatively coupled to the monitoring unit 106, such that
at least one of the one or more computing devices can receive any or a combination of the first set
of signals, the second set of signals, the set of status signals, and the set of alert signals, which can
be processed by one or more processors of the one or more computing devices so as to be
represented, through the means of graphics, texts, audio, video, and the likes, at the one or more
mobile computing devices.
[0079] 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. 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.
[0080] 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.
[0081] 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.
[0082] 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
18
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.
[0083] 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.
[0084] 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
[0085] The present disclosure provides a system and method for facilitating
communication with remotely located users.
[0086] The present disclosure provides a system and method for monitoring cardiovascular parameters of a subject.
[0087] The present disclosure provides a system and method for measuring blood pressure
and monitoring ECG.
[0088] The present disclosure provides a system and method for generating graphical
representations based on ECG signals.
[0089] The present disclosure provides a system and method for conserving electric power.
19
[0090] The present disclosure provides a portable, wearable, accurate, fast, efficient, and
cost effective system.

We Claim:

1. A system to monitor cardio-vascular parameters of a subject, wherein the system
comprises:
a first set of sensors to sense a first set of parameters associated with the subject,
and correspondingly generate a first set of signals;
a second set of sensors to sense a second set of parameters associated with the
subject, and correspondingly generate a second set of signals; and
a monitoring unit operatively coupled to the first set of sensors and the second set
of sensors, the monitoring unit comprising one or more processors configured coupled with
a memory, the memory storing instructions executable by the one or more processors and
configured to:
receive the first set of signals from the first set of sensors;
extract the first set of parameters from the received first set of signals;
compare the extracted first set of parameters with a first dataset comprising predetermined limit ranges; and
generate a set of actuation signals in case at least one of the extracted first set of
parameters is beyond the pre-determined limit ranges; whereby in response to the generated
set of actuation signals, the second set of sensors sense the second set of parameters, and
correspondingly generate the second set of signals, and the generated second set of signals
are transmitted to the monitoring unit.
2. The system as claimed in claim 1, wherein the first set of parameters comprises any or a
combination of systolic pressure and diastolic pressure.
3. The system as claimed in claim 1, wherein the second set of parameters comprises any or
a combination of cardiac cycle, heart muscle depolarisations, SA node (sinoatrial node)
activity, and heart rhythm.
4. The system as claimed in claim 1, wherein the monitoring unit extracts the second set of
parameters from the second set of signals, and converts the extracted second set of
parameters into a set of graphical representations.
5. The system as claimed in claim 4, wherein the monitoring unit generates a set of status
signals based on comparison of any or a combination of the extracted first set of parameters,
21
the extracted second set of parameters and the generated graphical representation with a
second dataset comprising pre-determined thresholds, wherein the set of status signals is
indicative of status of cardio-vascular parameters of the subject.
6. The system as claimed in claim 5, wherein the monitoring unit generates a set of alert
signals when any or a combination of the extracted first set of parameters, the extracted
second set of parameters and the generated graphical representation is beyond the predetermined thresholds.
7. The system as claimed in claim 5, wherein the system comprises a display unit operatively
coupled to the monitoring unit, and configured to represent any or a combination of the
sensed first set of parameters, the sensed second set of parameters, the pre-determined
threshold limits, comparison between the sensed first set of parameters and the predetermined threshold limits, generated graphical representation.
8. The system as claimed in claim 5, wherein the system comprises one or more computing
devices operatively coupled to the monitoring unit, whereby any or a combination of the
first set of signals, the second set of signals, the set of status signals, and the set of alert
signals are processed by one or more processors of the one or more computing devices so
as to be represented at the one or more computing devices.
9. The system as claimed in claim 3, wherein the system is configured in form of a wearable
device.
10. A method for monitoring cardio-vascular parameters of a subject, wherein the method
comprises steps of:
sensing, at a first set of sensors, a first set of parameters associated with the subject,
and correspondingly generate a first set of signals;
receiving, at one or more processors of a monitoring unit, the first set of signals
from the first set of sensors;
extracting, at the one or more processors, the first set of parameters from the
received first set of signals;
comparing, at the one or more processors, the extracted first set of parameters with
a first dataset comprising pre-determined limit ranges; and
generating, at the one or more processors, a set of actuation signals in case at least
one of the extracted first set of parameters is beyond the pre-determined limit ranges;
22
whereby in response to the generated set of actuation signals, the second set of sensors
sense a second set of parameters, and correspondingly generate a second set of signals, and
the generated second set of signals are transmitted to the monitoring unit.