TECHNICAL FIELD
The present disclosure relates generally to providing assistances to stay
healthy; and more specifically, to systems and methods for determining
lifestyle 5 le regime for users.
BACKGROUND
Over the years with change in lifestyle, people have become prone to
several diseases such as metabolic disorders. Generally, patients with
diseases like diabetes require continuous diagnosis and assistance to stay
10 healthy. Typically, diabetic patients regularly visit doctors for assistances
that includes medical and lifestyle recommendations to maintain a
healthy blood glucose level.
Conventionally, lifestyle recommendations are based on inputs provided
by the patient. Such inputs include information such as nutrients
15 consumed, calories burnt, steps walked, physiological condition and the
like. However, the conventional process of providing lifestyle
recommendations is largely dependent on the patients manually
providing or inputting the information. Therefore, such technique of
providing lifestyle recommendations is inherently flawed as it is
20 dependent on manual intervention of the patients. Consequently, the
process of generating the lifestyle recommendations is inefficient and
ambiguous. Moreover, readings from electronic device, used to monitor
the physiological conditions of the patients are manually provided or
entered to generate lifestyle recommendations. For example, electronic
25 device such as glucometer are used to measure blood glucose level in the
patient. However, operating such conventional electronic device is
cumbersome. For example, the conventional glucometer requires large
electric batteries making the glucometer bulky and unfriendly. Moreover,
2
the conventional glucometer displays information in a condensed form
owing to the small size of its display.
Therefore, in light of the foregoing discussion, there exists a need to
overcome the aforementioned drawbacks associated with providing life
style recommendation to the 5 user.
SUMMARY
The present disclosure seeks to provide a system for determining a
lifestyle regime for a user. The present disclosure also seeks to provide a
method for determining a lifestyle regime for a user. The present
10 disclosure seeks to provide a solution to the existing problem of
determining lifestyle regime based on manual intervention by the user.
An aim of the present disclosure is to provide a solution that overcomes
at least partially the problems encountered in prior art, and provides
system for determining lifestyle regime with least dependency on manual
15 intervention.
In one aspect, an embodiment of the present disclosure provides a
system for determining a lifestyle regime for a user, the system
comprising:
- a user device comprising a user agent module, wherein the user agent
20 module is configured to generate a user interface to be displayed on
a screen of the user device, and receive user input data from the
user;
- a blood glucose measuring device communicably coupled to the user
device for operation, wherein the blood glucose measuring device
25 comprising
an electronic strip port for generating an electronic signal based on
an electrochemical reaction occurring on a biochemical strip
removably coupled therein;
a temperature sensor for sensing ambient temperature; and
3
a control unit configured to compute a blood glucose level based on
the electronic signal received from the electronic strip port and the
ambient temperature received from the temperature sensor,
wherein the control unit is further configured to provide the user
device with the blood glucose level to be displayed 5 on the user
interface; and
- a data aggregating arrangement communicably coupled to the user
device for receiving the blood glucose level and the user input data
provided by the user agent module, and to process the blood glucose
10 level and the user input data using one or more algorithms to
determine the lifestyle regime for the user and display the lifestyle
regime on the user interface of the user device.
In another aspect, an embodiment of the present disclosure provides a
method for determining a lifestyle regime for a user, the method being
15 implemented via a system comprising:
- a user device comprising a user agent module, wherein the user agent
module is configured to generate a user interface to be displayed on
a screen of the user device, and receive user input data from a
corresponding user;
20 - blood glucose measuring device communicably coupled to the user
device for operation, wherein the blood glucose measuring device
comprising
an electronic strip port for generating an electronic signal based on
an electrochemical reaction occurring on the biochemical strip
25 removably coupled therein;
a temperature sensor for sensing ambient temperature; and
a control unit configured to compute a blood glucose level based on
the electronic signal received from the electronic strip port, and the
ambient temperature received from the temperature sensor,
4
wherein the control unit is further configured to provide the user
device with the blood glucose level to be displayed on the user
interface; and
- a data aggregating arrangement communicably coupled to the user
device for receiving the blood glucose level and the 5 e user input data
provided by the user agent module, and to process the blood glucose
level and the user input data using one or more algorithms to
determine the lifestyle regime for the user and display the lifestyle
regime on the user interface of the user device.
10 Embodiments of the present disclosure substantially eliminate or at least
partially address the aforementioned problems in the prior art, and
enables an efficient and accurate determination of lifestyle regime with
least dependency on manual intervention of the user.
Additional aspects, advantages, features and objects of the present
15 disclosure would be made apparent from the drawings and the detailed
description of the illustrative embodiments construed in conjunction with
the appended claims that follow.
It will be appreciated that features of the present disclosure are
susceptible to being combined in various combinations without departing
20 from the scope of the present disclosure as defined by the appended
claims.
BRIEF DESCRIPTION OF THE DRAWINGS
The summary above, as well as the following detailed description of
illustrative embodiments, is better understood when read in conjunction
25 with the appended drawings. For the purpose of illustrating the present
disclosure, exemplary constructions of the disclosure are shown in the
drawings. However, the present disclosure is not limited to specific
methods and instrumentalities disclosed herein. Moreover, those in the
5
art will understand that the drawings are not to scale. Wherever possible,
like elements have been indicated by identical numbers.
Embodiments of the present disclosure will now be described, by way of
example only, with reference to the following diagrams wherein:
FIG. 1 is a block diagram of a system for determining a 5 lifestyle regime
for a user, in accordance with an embodiment of the present
disclosure;
FIG. 2 is a schematic illustration of an environment for determining a
lifestyle regime for a user, in accordance with an embodiment
10 of the present disclosure;
FIG. 3 is an illustration of exemplary user interface of a user device, in
accordance with an embodiment of the present disclosure;
and
FIG. 4 is an illustration of steps of a method for determining a lifestyle
15 regime for a user, in accordance with an embodiment of the
present disclosure.
In the accompanying drawings, an underlined number is employed to
represent an item over which the underlined number is positioned or an
item to which the underlined number is adjacent. A non-underlined
20 number relates to an item identified by a line linking the non-underlined
number to the item. When a number is non-underlined and accompanied
by an associated arrow, the non-underlined number is used to identify a
general item at which the arrow is pointing.
DETAILED DESCRIPTION OF EMBODIMENTS
25 The following detailed description illustrates embodiments of the present
disclosure and ways in which they can be implemented. Although some
modes of carrying out the present disclosure have been disclosed, those
skilled in the art would recognise that other embodiments for carrying
out or practicing the present disclosure are also possible.
6
In one aspect, an embodiment of the present disclosure provides a
system for determining a lifestyle regime for a user, the system
comprising:
- a user device comprising a user agent module, wherein the user agent
module is configured to generate a user interface to 5 be displayed on
a screen of the user device, and receive user input data from the
user;
- a blood glucose measuring device communicably coupled to the user
device for operation, wherein the blood glucose measuring device
10 comprising
an electronic strip port for generating an electronic signal based on
an electrochemical reaction occurring on a biochemical strip
removably coupled therein;
a temperature sensor for sensing ambient temperature; and
15 a control unit configured to compute a blood glucose level based on
the electronic signal received from the electronic strip port and the
ambient temperature received from the temperature sensor,
wherein the control unit is further configured to provide the user
device with the blood glucose level to be displayed on the user
20 interface; and
- a data aggregating arrangement communicably coupled to the user
device for receiving the blood glucose level and the user input data
provided by the user agent module, and to process the blood glucose
level and the user input data using one or more algorithms to
25 determine the lifestyle regime for the user and display the lifestyle
regime on the user interface of the user device.
In another aspect, an embodiment of the present disclosure provides a
method for determining a lifestyle regime for a user, the method being
implemented via a system comprising:
30 - a user device comprising a user agent module, wherein the user agent
module is configured to generate a user interface to be displayed on
7
a screen of the user device, and receive user input data from a
corresponding user;
- blood glucose measuring device communicably coupled to the user
device for operation, wherein the blood glucose measuring device
comprisin5 g
an electronic strip port for generating an electronic signal based on
an electrochemical reaction occurring on the biochemical strip
removably coupled therein;
a temperature sensor for sensing ambient temperature; and
10 a control unit configured to compute a blood glucose level based on
the electronic signal received from the electronic strip port, and the
ambient temperature received from the temperature sensor,
wherein the control unit is further configured to provide the user
device with the blood glucose level to be displayed on the user
15 interface; and
- a data aggregating arrangement communicably coupled to the user
device for receiving the blood glucose level and the user input data
provided by the user agent module, and to process the blood glucose
level and the user input data using one or more algorithms to
20 determine the lifestyle regime for the user and display the lifestyle
regime on the user interface of the user device.
The present disclosure provides a system for providing lifestyle
recommendations to patients. The system comprises the user device and
the blood glucose measuring device. The user device is configured to
25 receive inputs from patient and the blood glucose measuring device is
configured to compute blood glucose level of the patient. The system
employs the blood glucose level and the inputs from the patient to provide
lifestyle recommendations to the patient. The blood glucose level is
directly provided by the blood glucose measuring device to the user
30 device without the patient manually providing or entering the blood
glucose level on the user device. Consequently, the process of generating
8
the lifestyle recommendations by the system is efficient and accurate.
The blood glucose measuring device is dependent on the user device for
providing power for its operation. The blood glucose measuring device
does not employ large electric batteries and thereby is compact, light in
weight and portable. The lifestyle recommendations are provided 5 to the
patient in an elaborated form on the screen of the user device.
The present disclosure provides the system for determining the lifestyle
regime for the user. The system is a collection of one or more
interconnected programmable and/or non-programmable components
10 configured to determine the lifestyle regime for the user. Examples
include programmable and/or non-programmable components, such as
processors, memories, connectors, cables and the like. Moreover, the
programmable components are configured to store and execute one or
more computer instructions. Throughout the present disclosure, the term
15 ‘user’ as used herein refers to any entity comprising a person (i.e., human
being) using the system described herein. Specifically, user refers to a
patient suffering from any one of: an illness, a disease, a disorder, and
an ailment. In other words, the user may be a person requiring a medical
care or a person receiving the medical care or a person awaiting
20 treatment from a physician or a person under medical supervision from
a medically trained person. In an example, a user is a person generally
having abnormal blood glucose levels. In such an instance, the user may
be termed as a diabetic person.
Furthermore, in the present disclosure, the term regime refers to
25 information including a scheme of conduct/ treatment that when adhered
to, aids the user to maintain a healthy condition. The regime includes
information related to the beginning, continuing and/or cessation of one
or more activities in the everyday routine of the user. Examples of one
or more activities may include engaging in physical activity, intaking of
30 food, administering a therapeutic agent and the like. The lifestyle regime
9
for the user refers to information including scheme of conduct/ treatment
that is maintained by the user in their everyday routine to retain or attain
healthy condition. In an example, the lifestyle regime may include
information of scheme of conduct/ treatment for a user having abnormal
blood glucose levels. In such example, adhering to scheme 5 e of conduct/
treatment may help the user attain normal blood glucose levels, such as
less than 100 mg/dL (during fasting for at least eight hours) and less than
140 mg/dL (two hours after eating).
The system comprises the user device. The user device is any computing
10 device associated with (or used by) the user that is capable of enabling
the user to perform specific tasks associated with the aforementioned
system. Furthermore, the user device is intended to be broadly
interpreted to comprise any electronic device that is used for voice and/or
data communication over a communication network. Examples of user
15 device comprise, but are not limited to, cellular phones, personal digital
assistants (PDAs), handheld devices, laptop computers, personal
computers, smart watches and the like. Additionally, the user device
comprises a memory unit, a processor, a network interface card, a
connecting port and the like.
20 The user device comprises the user agent module, wherein the user agent
module is configured to generate the user interface to be displayed on
the screen of the user device, and receive user input data from the user.
The user agent module refers to a computer program or a routine that is
configured to generate the user interface to enable communication
25 between the system and the user. Furthermore, the user agent module
comprises one or more routines, data structures, object classes, and/or
protocols that support the interaction of the user device and the user. It
will be appreciated that the user agent module invokes system-level code
or calls to other software residing on the user device or other location
30 communicatively coupled with the user device to perform certain
10
functions, such as setting up a communication session between the user
device, the blood glucose measuring device and/or the data aggregating
arrangement. In an example, a user agent module is a software
application that operates on any form of computing device, such as the
user device, and that is capable of accessing static data or resource 5 ce files
stored in the user device, such as user-viewable hypertext documents.
Moreover, the user agent module when initiated or interacted with
provides the user interface to be displayed on the screen of the user
device. The user interface includes a structured set of user interface
10 elements rendered on the screen of the user device. The user interface
elements refer to visual objects that have a size and a position in the user
interface. Examples of user interface elements include (but are not
limited to) text blocks, labels, text boxes, list boxes, lines, and image
windows, dialog boxes, frames, panels, menus, buttons, icons, and the
15 like. In addition to size and position, the user interface elements may
have other properties, such as a margin, spacing, or the like.
Furthermore, the user interface elements are used by the user to interact
with the user device to enter user input data. The user input data is the
information provided by the user while interacting with the system via
20 the user interface of the user device. For example, a given user interface
element may include a text box that is configured to receive textual input
from the user, such as a name of the user or the age of the user. In such
example, the given user interface element enables the user to input the
user input data and receive the user input data from the user. Optionally,
25 a user interface element may generally be visible, though there may be
times when a user interface element is hidden. Optionally, the user
interface used herein is a graphical user interface (GUI).
The system comprises the blood glucose measuring device. Throughout
the present disclosure, the term “blood glucose measuring device” refers
30 to a medical device for measuring a concentration or an amount of
11
glucose present in blood of the user. Typically, the blood glucose
measuring device is a compact device having a small size enabling the
user to conveniently utilise and carry the blood glucose measuring device.
In an example, the blood glucose measuring device has a weight of 25
grams and a diameter of 40 millimetre. The 5 concentration or amount of
glucose present in the blood is referred to as blood glucose level.
Optionally, a predefined concentration of glucose in the blood is desired
for a good health of the user. In an example, a desirable blood glucose
level for good health of an adult user (having an age more than 18 years)
10 is below 100 mg/dL (milligram per deciliter) before the adult user
consumes food and the blood glucose level two hours after the adult user
consumes food is less than 140 mg/dL. The blood glucose measuring
device enables the user to continuously measure the blood glucose levels
and based on the measurements of the blood glucose levels the user may
15 take necessary actions such as diet control, medication to maintain the
desired blood glucose level. Optionally, the blood glucose measuring
device accurately measures the blood glucose level in a range of 30
mg/dL (milligram per deciliter) to 600 mg/dL (milligram per deciliter).
More optionally, the blood glucose measuring device accurately measures
20 the blood glucose level in a range of 1.665 mmol/L (millimoles per liter)
to 33.3 mmol/L (millimoles per liter).
The blood glucose measuring device is communicably coupled to the user
device for operation. Specifically, the blood glucose measuring device is
configured in a manner that the blood glucose measuring device starts or
25 activates to perform one or more functions. Moreover, the one or more
functions that are performed by the blood glucose measuring device
enables measurement of the blood glucose levels of the user. In an
example, the coupling of the user device with the blood glucose
measuring device enables the user device to control a start of
30 measurement of blood glucose levels. In an embodiment, the blood
glucose measuring device is communicably coupled to the user device via
12
a connecting means. The term connecting means herein refers to a wired
or a wireless connection between the blood glucose measuring device and
the user device via which the user device controls the operation of the
blood glucose measuring device. In an example, the connecting means
may be a USB (Universal Serial Bus) or MICRO USB (Universal Serial Bus5 )
cable. In such an example, the USB (Universal Serial Bus) or MICRO USB
(Universal Serial Bus) cable may be a USB (Universal Serial Bus) or
MICRO USB (Universal Serial Bus) standard A connector or a USB
(Universal Serial Bus) or MICRO USB (Universal Serial Bus) standard B
10 connector or a USB (Universal Serial Bus) or MICRO USB (Universal Serial
Bus) type C connector and the like. Optionally, for a connection via USB
(Universal Serial Bus) or MICRO USB (Universal Serial Bus) cable, the
user device and the blood glucose measuring device comprise a female
connecting unit to receive a male connecting unit present at both ends of
15 the USB (Universal Serial Bus) or MICRO USB (Universal Serial Bus)
cable. In another example, the connecting means may be an auxiliary
input cable. In such an example, the auxiliary input cable may have a
plug of diameter 6.35mm (millimetre), or a plug of diameter 3.5 mm
(millimetre) or a plug of diameter 2.5 mm (millimetre). Optionally, for a
20 connection via Auxiliary input cable, the user device and the blood
glucose measuring device comprise a jack to receive plugs of the Auxiliary
input cable for establishing a connection thereof. In yet another example,
the wireless connecting means may comprise connections via Internet,
Bluetooth, NFC (Near Field Communication). In such an example, the
25 user device and the blood glucose measuring device comprise wireless
connectivity modules such as Internet module, Bluetooth module, NFC
(Near Field Communication) module. In another example, the connecting
means may be a Lightning® (connector).
Optionally, the blood glucose measuring device comprises a UART
30 (Universal asynchronous receiver-transmitter) interface. In such a case,
a USB (Universal Serial Bus) to UART (Universal asynchronous receiver13
transmitter) bridge controller is employed in the blood glucose measuring
device to enable the user to connect the user device to the blood glucose
measuring device via the USB (Universal Serial Bus) connecting means.
In an embodiment, the blood glucose measuring device is a passive
device. The blood glucose measuring device requires power fo5 r
performing its operations. Specifically, the power required by the blood
glucose measuring device is provided by the user device. Moreover, the
connectivity means enables the user device to provide the power to the
blood glucose measuring device. In an example, the blood glucose
10 measuring device is provided power by the user device upon receiving a
start instruction from the user device. In another example, the blood
glucose measuring device receives power from the user device via the
USB (Universal Serial Bus) cable. In yet another example, the blood
glucose measuring device receives power from the user device wirelessly
15 via induction charging.
In an embodiment, the blood glucose measuring device does not have a
screen to display any information. The blood glucose measuring device is
configured to display the information to the user via the user interface
displayed on the screen of the user device. For example, an error
20 information describing the malfunction of the blood glucose measuring
device may be displayed in the user interface of the user device.
Moreover, the blood glucose measuring device comprises the electronic
strip port for generating the electronic signal based on the
electrochemical reaction occurring on the biochemical strip removably
25 coupled therein. Typically, the user provides a blood sample to the blood
glucose measuring device. Moreover, the user obtains the blood sample
by pricking a finger. In an example, a quantity of the blood sample
obtained is in microliters. In another example, the blood glucose
measuring device requires 0.5 microliters of blood sample for
30 determination of blood glucose level. Generally, the blood sample is
14
provided by the user on the biochemical strip. Typically, the biochemical
strip comprises an enzyme referred to as glucose oxidase enzyme and a
chemical referred to as ferricyanide. Moreover, upon providing the blood
sample on the biochemical strip, the glucose present in the blood
undergoes electrochemical reaction with the glucose oxidase enzyme 5 to
produce gluconic acid. Furthermore, the gluconic acid undergoes
electrochemical reaction with ferricyanide to produce ferrocyanide. The
ferrocyanide produced on the biochemical strip generates electronic
signals which increases the electronic power used in the electronic strip
10 port. Consequently, a change in the electronic power provided by the
blood glucose measuring device enables the determination of the
electronic signal generated by the electrochemical reaction. Additionally,
the removable coupling of the biochemical strip with the electronic strip
enables the user to replace the biochemical strip upon the generation of
15 the electronic signal.
Furthermore, the blood glucose measuring device comprises the
temperature sensor for sensing ambient temperature. Throughout the
present disclosure, the term “ambient temperature” refers to a
temperature of the air in an environment comprising the user and the
20 blood glucose measuring device. The ambient temperature is essential
for determination of accurate blood glucose levels of the user. In an
example, an ambient temperature may be a room temperature such as
20 degree Celsius. Moreover, the concentration of glucose present in the
blood of the user varies based on the ambient temperature. Furthermore,
25 a dependency of the concentration of glucose on the temperature results
in production of an incorrect electronic signal. The blood glucose
measuring device may generate an incorrect blood glucose levels based
on the incorrect electronic signal. Therefore, the ambient temperature is
significant in determination of correct blood glucose levels of the user.
30 Optionally, the temperature sensor converts the ambient temperature
into a corresponding electronic digital signal. Optionally, the temperature
15
sensor is configured to accurately sense the ambient temperature in a
range of 1 degree Celsius to 45 degree Celsius.
Moreover, the blood glucose measuring device comprises the control unit
configured to compute the blood glucose level based on the electronic
signal received from the electronic strip port and the ambien5 t
temperature received from the temperature sensor. Throughout the
present disclosure, the term ‘control unit’ refers to a computational
element that is operable to respond to and processes instructions that
drive the blood glucose measuring device. Optionally, the control unit
10 comprises, but is not limited to, a microprocessor, a microcontroller, a
complex instruction set computing (CISC) microprocessor, a reduced
instruction set (RISC) microprocessor, a very long instruction word
(VLIW) microprocessor, or any other type of processing circuit.
Moreover, the term “control unit” may refer to one or more individual
15 processors, processing devices and various elements associated with a
processing device that may be shared by other processing devices.
Additionally, the one or more individual processors, processing devices
and elements are arranged in various architectures for responding to and
processing the instructions that drive the blood glucose measuring
20 device. Optionally, the control unit is operable to compute the blood
glucose level in a processing time of less than or equal to five seconds.
In an embodiment, the control unit is configured to employ one or more
derived regression equations for computing the blood glucose level. The
one or more derived regression equations facilitates a relationship
25 between the ambient temperature and the electronic signal to determine
an accurate blood glucose level irrespective of the variations in the
ambient temperature. In an example, the blood glucose measuring device
determines the blood glucose level of a patient to be 150 mg/dL
(milligram per deciliter) at an ambient temperature of 30 degree Celsius.
30 In such an example, the blood glucose measuring device determines the
16
blood glucose level of the patient to be 150 mg/dL (milligram per
deciliter) even at an ambient temperature of 40 degree Celsius.
Therefore, the one or more derived regression equations enables the
blood glucose measuring device to efficiently determine a similar blood
glucose level for the user even in different ambient temperature5 .
Moreover, the control unit is further configured to provide the user device
with the blood glucose level to be displayed on the user interface. The
blood glucose level is provided to the user device via the connecting
means. The user device enables the user to view the blood glucose level
10 determined by the blood glucose measuring device. In an embodiment,
the user interface comprises one or more user interface elements to
control the operation of the blood glucose measuring device. In an
example, the one or more user interface elements enable the user to
provide a wake up command to the blood glucose measuring device by
15 clicking on a wake up text block on the user interface. In another
example, the one or more user interface elements enable the user to
receive an acknowledgment from the blood glucose measuring device via
a green button on the user interface. In yet another example, the one or
more user interface elements enable the user to receive an instruction
20 from the blood glucose measuring device for insertion of biochemical
strip. In another example, the one or more user interface elements
enable the user to receive an acknowledgment from the blood glucose
measuring device about acceptance of the biochemical strip. In yet
another example, the one or more user interface elements enable the
25 user to instruct the blood glucose measuring device to start operation.
The system comprises the data aggregating arrangement communicably
coupled to the user device for receiving the blood glucose level and the
user input data provided by the user agent module. Throughout the
present disclosure, the term “data aggregating arrangement” refers to an
30 arrangement comprising a computational entity configured to acquire,
17
process and/or respond to the blood glucose level and the user input data
provided by the user agent module of the user device. Optionally, the
data aggregating arrangement includes one or more programmable and
non-programmable components. Examples of the one or more
programmable and non-programmable components may includ5 e
memory, processor, network adapter, cabinets, crisscrossed wires,
connector and the like. Moreover, the one or more programmable and
non-programmable components of data aggregating arrangement are
configured to host computer programs and/or routines that provide
10 various services. In one example, the services may include providing
connectivity between the data aggregating arrangement and the user
device for establishing a communication session and subsequently
receiving the blood glucose level and the user input data from the user
agent module. In another example, the services may include providing a
15 data repository service for storing the information related to the user. In
yet another example, the services may include hosting computer
programs and/or routines for processing the one or more inputs received
from the user agent module. The data aggregating arrangement is
communicably coupled to the user device via a data network. Examples
20 of the data network may include, but is not limited to, one or more peerto-
peer network, a hybrid peer-to-peer network, local area networks
(LANs), radio access networks (RANs), wide area networks (WANs),
portions of a public network such as the Internet, a cellular network and
the like. Optionally, the data aggregating arrangement and the user
25 device are operable to exchange information related to the user carried
out via any number of known protocols suitable for exchanging
information including voice, video, data and combinations thereof.
Examples of the protocols may include, but not limited to, Internet
Protocol (IP), Wireless Access Protocol (WAP), Frame Relay, or
30 Asynchronous Transfer Mode (ATM).
18
In an embodiment, the user input data comprises personal information
of the user. The personal information of the user includes demographical
details, connectivity details, financial details, career details, health
details, and the like. In an example, the demographical details of the user
may include date of birth, age, gender, address, location, number 5 er of
family members, religion, citizenship, and the like; the connectivity
details of the user may include a phone number, an email address of the
user, and the like; the financial details of the user may include bank
account number, the vendor details of which the user uses the banking
10 services, debit or credit card number and the like; the career details
associated to the user may include job designation, total amount of
experience, current salary, and the like; the health details associated to
the user may include weight, height, body mass index, major disorders,
and the like.
15 In an embodiment, the personal information of the user is acquired by
the data aggregating arrangement from a third-party service provider.
The third-party service provider refers to one or more systems,
applications, and/or a combination thereof for providing electronic
content (namely, the data describing the personal information of the
20 user) to the data aggregating arrangement via the data network.
Furthermore, the third-party service provider is subscription based, i.e.
the data describing the personal information of the user is provided as an
online service that is accessed by the data aggregating arrangement with
subscriber accounts.
25 In an embodiment, the user input data comprises information describing
food intake of the user and its corresponding timings. The information
describing the food intake of the user and its corresponding timings refers
to an amount and type of the food consumed by user, and the
corresponding timings refers to the time at which the amount and the
30 type of the food is consumed by user. For example, the amount may be
19
measured in various units such as grams, kilograms, calories and the like,
and type may describe the category of food, such as organic, nonorganic,
vegan, vegetarian, non-vegetarian and the like. In such
example, the corresponding timing may describe the time of the 24 hours
at which the user is consuming the food, such as at 0600 hours, 5 0800
hours, 1300 hours, 1700 hours, 2000 hours and 2200 hours.
In an embodiment, the user input data comprises information describing
physical activity performed by the user. The information describing the
physical activity performed by the user refers to the movement of the
10 user in one or more direction. For example, the movements may include
the daily movements, such as walking, running, swimming, sleeping or
other activity. It may be appreciated that a sensor arrangement may be
communicatively coupled with the user device to provide data related to
the physical activity performed by the user, that is further processed by
15 the user agent application and thereafter transmitted to the data
aggregating arrangement via the data network.
In an embodiment, the user input data comprises information describing
medication consumed by the user. The information describing the
medication consumed by the user includes the details of the one or more
20 medicines consumed by the user. Moreover, the information describing
the medication consumed by the user includes time at which the user
consumes the medicine. For example, the information describing the
medication consumed by the user may describe that the user consumes
the medicine 'W' 20 minutes before 0600 hours, the medicine 'X' 10
25 minutes before 1300 hours, the medicine 'Y' 10 minutes before 2000
hours, and the medicine 'Z' 10 minutes after 2200 hours.
In an embodiment, the data aggregating arrangement includes a
database, wherein the database is configured to store the received blood
glucose level and the user input data at one or more specific data
30 structure suitable for further computation. Examples of the data structure
20
may include a table, a map, a grid, a packet, a datagram, a file, a
document, a list or any other form. The database may be hardware,
software, firmware and/or any combination thereof. For example, the
database may include any data storage software and systems, such as,
for example, a relational database like IBM DB2 5 2 and Oracle 9.
Additionally, the blood glucose level and the user input data are stored in
the database in the form of data elements including (but are not limited
to) data records and bits of data. It will be appreciated that, the data
elements associated to a given user populates the database in a specific
10 section that is assigned to the given user
The data aggregating arrangement is configured to process the blood
glucose level and the user input data using one or more algorithms. The
one or more algorithms are any collection or set of instructions executable
by a computer or other digital system so as to configure the data
15 aggregating arrangement to analyze the blood glucose level and the user
input data. Additionally, the one or more algorithms is intended to
encompass such instructions stored in storage medium such as RAM, a
hard disk, optical disk, or so forth, and is also intended to encompass socalled
“firmware” that is software stored on a ROM or so forth. Optionally,
20 the one or more algorithms refer to software application. Such one or
more algorithms is organized in various ways, for example the one or
more algorithms includes software components organized as libraries,
Internet-based programs stored on a remote server or so forth, source
code, interpretive code, object code, directly executable code, and so
25 forth. It may be appreciated that the one or more algorithms may invoke
system-level code or calls to other software residing on a server or other
location to perform certain functions. Furthermore, the one or more
algorithms may be pre-configured and pre-integrated with an operating
system of the data aggregating arrangement.
21
Moreover, the one or more algorithms are artificial intelligence (AI)
algorithms. Specifically, the one or more algorithms are executable upon
the data aggregating arrangement, and are operable to adapt and adjust
their operating parameters in an adaptive manner, depending upon
information that is presented thereto when executed. 5 . Thus, by learning
by example from a given blood glucose level and a given user input data,
neural networks and variable state engines of the artificial intelligence
(AI) algorithms are thereby programmed to analyze the given blood
glucose level and the given user input data. Thus, it will be appreciated
10 that processing of the given blood glucose level and the given user input
data is performed in a semi-automated or automated manner.
In an embodiment, the data aggregating arrangement is operable to
employ historical recorded data including the blood glucose level and the
user input data provided by the user agent module, as an input parameter
15 to the one or more algorithms. The historical recorded data including the
blood glucose level and the user input data refers to the chronologically
stored data in a specific data structure including the blood glucose level
and the user input data. Specifically, the historical recorded data includes
each and every blood glucose level and the user input data associated to
20 the user that was transmitted by the user agent module since a first use
of the system. More specifically, the historical recorded data is the
periodically saved blood glucose level reading and the user input data
provided by the user agent module. For example, the first blood glucose
level of a user A was L and the user input data was n1, n2, n3 and n4,
25 the second blood glucose level of a user A was M and the user input data
was n1, n2, n5 and n4, the third blood glucose level of a user A was N
and the user input data was n1, n2, n3 and n6, the fourth blood glucose
level of a user A was O and the user input data was n1, n2, n7 and n8,
and the fifth blood glucose level of a user A was P and the user input data
30 was n1, n2, n7 and n9. In such example, the chronologically stored data
of the blood glucose levels and the user input data of the user A is the
22
historical recorded data. Furthermore, in such example, the one or more
algorithms may consider the blood glucose levels L, M, N, O and P, and
the user input data n1, n2, n3, n4, n5, n6, n7, n8 and n9, and the
relations between the blood glucose levels and the user input data to
process the blood glucose level and the user input data, such 5 as a realtime
blood glucose level and the user input data. It will be appreciated
that the database is configured to store the blood glucose levels and the
user input data of the user chronologically.
In an embodiment, the one or more algorithms process the historical
10 recorded data to determine trend in physiological condition of the user.
The trend determined in the historical recorded data refers to any
commonality in the physiological condition of the user. In an
embodiment, the trends are determined based on a variation in the blood
glucose level of the user. The variation in the blood glucose level of the
15 user refers to the difference in the blood glucose levels of the user. For
example, as mentioned in an aforesaid example the first, the blood
glucose level L may be greater than blood glucose level M, the blood
glucose level N may be lesser than the blood glucose level M, the blood
glucose level O may be lesser than the blood glucose level P, the blood
20 glucose level O may be lesser than N. In such an instance, the one or
more algorithms are configured to process the historical recorded data to
determine the physiological condition of the user.
In an embodiment, the trends are determined based on a preference
provided by the user. The user interface includes one or more user
25 interface elements that enable providing specific preference of the user.
In an embodiment, preference provided by the user comprises a diet
preference of the user. For example, the user may prefer to consume
fruits. In an embodiment, preference provided by the user comprises a
daily routine preference of the user. In an example, the daily routine
30 preference of the user may be that the user prefers to have 8 hours of
23
continuous sleep. In an embodiment, preference provided by the user
comprises a physical restraint of the user. In an example, physical
restraint of the user may be a fractured leg. Optionally, the preference
provided by the user may be determined from the user input data. For
example, if the user has mentioned that the user intakes food at a sp5 ecific
time such as 1700 hours repeatedly, the user performs physical activity
for a period such as for 1 hour at 0700 hours repeatedly, or consumes
medication 10 minutes after 2200 hours. In such an instance, the
preference provided by the user may be considered as the user prefers
10 to intake food at 1700 hours, perform the physical activity for 1 hour at
0700 hours, and consume medication 10 minutes after 2200hours. The
one or more algorithms analyze the user input data describing the
personal information, the food intake, the physical activity, the
medication consumed by the user to determine how the body of the user
15 reacts when the blood glucose level is L, M, N, O and P, and the
preference provided by the user is considered. In an example, the one or
more algorithms analyze if there is a specific pattern. In such an instance,
the specific pattern may be that the user is having a user is having a
blood glucose level of O when the user is consuming fruits and sleeping
20 for 8 hours in 24 hours.
Furthermore, the data aggregating arrangement processes the blood
glucose level and the user input data using one or more algorithms to
determine the lifestyle regime for the user and display the lifestyle regime
on the user interface of the user device. The one or more algorithms are
25 configured to generate the lifestyle regime including a list of habits and
activities based on the blood glucose level, the user input data, and the
trends that may enable the user to be healthy. It will be appreciated that
healthy is a state of the user's body in which the body performs its vital
functions normally or properly. For example, user is having a blood
30 glucose level of O when the user is consuming fruits and sleeping for 8
hours in 24 hours. In such an example, the lifestyle regime determined
24
by the one or more algorithms may include a 2 hours of physical activity
to be performed by the user, perform food intake at 0600 hours, 0900
hours, 1200 hours, 1500 hours, 1800 hours and 2100 hours, and
consume the medicine 'W' 20 minutes before 0600 hours, the medicine
'X' 10 minutes before 1200 hours, the medicine 'Y' 10 minutes be5 fore
1800 hours, and the medicine 'Z' 10 minutes after 2100 hours. In such
an example, the user having the blood glucose level of O may be
considered as healthy. Moreover, in such an example, the user continues
to be healthy by considering the lifestyle regime determined by the one
10 or more algorithms. Furthermore, the aforementioned information is
transmitted by the data aggregating arrangement to the user device, and
subsequently displayed in the user interface of the user agent module in
the form of user interface elements.
DETAILED DESCRIPTION OF THE DRAWINGS
15 Referring to FIG. 1, there is shown a block diagram of a system 100 for
determining a lifestyle regime for a user, in accordance with an
embodiment of the present disclosure. As shown, the system 100
comprises a user device 102, a blood glucose measuring device 104, and
a data aggregating arrangement 106. Moreover, the blood glucose
20 measuring device 104 is communicably coupled to the user device 102
for operation. Furthermore, the data aggregating arrangement 106 is
communicably coupled to the user device 102.
Referring to FIG. 2, there is shown a schematic illustration of an
environment 200 for determining a lifestyle regime for a user, in
25 accordance with an embodiment of the present disclosure. As shown, the
environment 200 comprises a blood glucose measuring device 202
communicably coupled to a user device 204 a connecting means 206.
The user device 204 is configured to receive user input data from a
corresponding user. The blood glucose measuring device 202 is
30 configured to compute a blood glucose level and provide the user device
25
204 with the blood glucose level. As shown, the user device 204 is
communicably coupled to the data aggregating arrangement 208. The
data aggregating arrangement 208 is configured to receive the blood
glucose level and the user input data from the user device 204 and store
the blood glucose level and the user input data in a database 5 se 210.
Moreover, the data aggregating arrangement 208 determines the
lifestyle regime for the user and displays the lifestyle regime on the user
device 204.
Referring to FIG. 3, there is shown an illustration of exemplary user
10 interface of a user device 300, in accordance with an embodiment of the
present disclosure. The user device 300 comprises a user agent module.
Moreover, the user agent module is configured to generate a user
interface 302 to be displayed on a screen of the user device and receive
user input data from a user. As shown, the user interface 302 receives
15 user input data in form of preferences depicted as a diet preference 304
of the user; a daily routine preference 306 of the user; and a physical
restraint 308 of the user. Moreover, the user interface 302 comprises a
user interface element 310 to control a start operation of the blood
glucose measuring device.
20 Referring to FIG. 4, there is shown an illustration of steps of a method
400 for determining a lifestyle regime for a user, in accordance with an
embodiment of the present disclosure. The method 400 is implemented
via a system comprising a user device, a blood glucose measuring device,
and a data aggregating arrangement. The blood glucose measuring
25 device comprises an electronic strip port, a temperature sensor, and a
control unit. At a step 402, an electronic signal is generated based on an
electrochemical reaction occurring on a biochemical strip removably
coupled to the electronic strip port. At a step 404, an ambient
temperature is sensed by the temperature sensor. At a step 406, a blood
30 glucose level is computed, by the control unit, based on the electronic
26
signal received from the electronic strip port and the ambient
temperature received from the temperature sensor. At a step 408, the
blood glucose level and the user input data are received by the data
aggregating arrangement, and the blood glucose level and the user input
data are processed using one or more algorithms to determine 5 ine the
lifestyle regime for the user and display the lifestyle regime on the user
device.
The steps 402 to 408 are only illustrative and other alternatives can also
be provided where one or more steps are added, one or more steps are
10 removed, or one or more steps are provided in a different sequence
without departing from the scope of the claims herein.
Modifications to embodiments of the present disclosure described in the
foregoing are possible without departing from the scope of the present
disclosure as defined by the accompanying claims. Expressions such as
15 “including”, “comprising”, “incorporating”, “have”, “is” used to describe
and claim the present disclosure are intended to be construed in a nonexclusive
manner, namely allowing for items, components or elements
not explicitly described also to be present. Reference to the singular is
also to be construed to relate to the plural.

CLAIMS
1. A system (100) for determining a lifestyle regime for a user, the
system comprising:
- a user device (102, 204, 300) comprising a user agent module,
wherein the user agent module is configured to generate a 5 user
interface (302) to be displayed on a screen of the user device, and
receive user input data from the user;
- a blood glucose measuring device (104, 202) communicably coupled
to the user device for operation, wherein the blood glucose measuring
10 device comprising
an electronic strip port for generating an electronic signal based on
an electrochemical reaction occurring on a biochemical strip
removably coupled therein;
a temperature sensor for sensing ambient temperature; and
15 a control unit configured to compute a blood glucose level based on
the electronic signal received from the electronic strip port and the
ambient temperature received from the temperature sensor,
wherein the control unit is further configured to provide the user
device with the blood glucose level to be displayed on the user
20 interface; and
- a data aggregating arrangement (106, 208) communicably coupled to
the user device for receiving the blood glucose level and the user
input data provided by the user agent module, and to process the
blood glucose level and the user input data using one or more
25 algorithms to determine the lifestyle regime for the user and display
the lifestyle regime on the user interface of the user device.
2. A system of claim 1, characterised in that the blood glucose measuring
device (104, 202) is a passive device.
28
3. A system of claim 1, characterised in that the user interface (302)
comprises one or more user interface elements (310) to control the
operation of the blood glucose measuring device (104, 202).
4. A system of claim 1, characterised in that the control unit is configured
to employ one or more derived regression equations for computing 5 the
blood glucose level.
5. A system of claim 1, characterised in that the user input data comprises
at least one of:
(i) personal information of the user;
10 (ii) information describing food intake of the user and its corresponding
timings;
(iii) information describing physical activity performed by the user; and
(iv) information describing medication consumed by the user.
6. A system of claim 1, characterised in that the personal information of
15 the user is acquired by the data aggregating arrangement (106, 208)
from a third-party service provider.
7. A system of claim 1, characterised in that the data aggregating
arrangement (106, 208) is operable to employ historical recorded data
including the blood glucose level and the user input data provided by the
20 user agent module, as an input parameter to the one or more algorithms.
8. A system of claim 1, characterised in that the one or more algorithms
process the historical recorded data to determine trend in physiological
condition of the user.
9. A system of claim 8, characterised in that the trends are determined
25 based on:
(i) a variation in the blood glucose level of the user; and
(ii) a preference provided by the user.
10. A system of claim 9, characterised in that the preference provided by
the user comprises at least one of:
29
(i) a diet preference (304) of the user;
(ii) a daily routine preference (306) of the user; and
(iii) a physical restraint (308) of the user.
11. A system of claim 1, characterised in that the blood glucose
measuring device (104, 202) is communicably coupled 5 led to the user device
via a connecting means (206).
12. A method for determining a lifestyle regime for a user, the method
being implemented via a system (100) comprising:
- a user device (102, 204, 300) comprising a user agent module,
10 wherein the user agent module is configured to generate a user
interface (302) to be displayed on a screen of the user device, and
receive user input data from a corresponding user;
- blood glucose measuring device (104, 202) communicably coupled to
the user device for operation, wherein the blood glucose measuring
15 device comprising
an electronic strip port for generating an electronic signal based on
an electrochemical reaction occurring on a biochemical strip
removably coupled therein;
a temperature sensor for sensing ambient temperature; and
20 a control unit configured to compute a blood glucose level based on
the electronic signal received from the electronic strip port, and the
ambient temperature received from the temperature sensor,
wherein the control unit is further configured to provide the user
device with the blood glucose level to be displayed on the user
25 interface; and
- a data aggregating arrangement (106, 208) communicably coupled to
the user device for receiving the blood glucose level and the user
input data provided by the user agent module, and to process the
blood glucose level and the user input data using one or more
30
algorithms to determine the lifestyle regime for the user and display
the lifestyle regime on the user interface of the user device.