AU2021103367A4

AU2021103367A4 - A big data analytics system for performing real-time analysis for the wellness of a user

Info

Publication number: AU2021103367A4
Application number: AU2021103367A
Authority: AU
Inventors: Srinivasa A. H.; Veena A.; Asha Ramesh; Gowrishankar S.
Original assignee: Ramesh Asha Dr; S Gowrishankar Dr
Current assignee: Ramesh Asha Dr
Priority date: 2021-06-15
Filing date: 2021-06-15
Publication date: 2022-03-31
Anticipated expiration: 2029-06-15

Abstract

A wellness monitoring system, the system comprising: a wearable to be worn by a primary user, the wearable comprises: sensors configured to sense signals representing one of, health parameters of the primary user, environmental parameters, or a combination thereof; a data analytics platform is connected to the wearable, the data analytics platform configured to receive the sensed signals from each of the sensors; determine, the health parameters of the primary user and the environmental parameters based on the received sensed signals; match each of the determined health parameters with predefined abnormal health parameters of the primary user stored in a database corresponding to the determined environmental parameters; and generate an alert signal when at least one of the determined health parameters is showing abnormal characteristic, representing abnormal health. 1/4 Data center 104 100 Data analytics Database 112 ALii User Device 106 Wellness application 114 Communication Wearable Network 102 108 User Interface 116 Processor 118 Figure 1

Description

1/4

Data center 104 100 Data analytics

Database 112 ALii User Device 106 Wellness application 114 Communication Wearable Network 102 108 User Interface 116

Processor 118

Figure 1

AUSTRALIA

Patents Act 1990

COMPLETE SPECIFICATION A BIG DATA ANALYTICS SYSTEM FOR PERFORMING REAL-TIME ANALYSIS FOR THE WELLNESS OF A USER

The following statement is a full description of this invention, including the best method of performing it known to me

A BIG DATA ANALYTICS SYSTEM FOR PERFORMING REAL-TIME ANALYSIS FOR THE WELLNESS OF A USER BACKGROUND

[001] Field of the Invention

[002] Embodiments of the present invention generally relate to a wellness monitoring system and particularly to a system and method for monitoring the wellness of a user using big data analysis.

[003] Description of Related Art

[004] Dramatic demographic changes are taking place in most countries and the world population is aging. Governments face huge challenges in the health sector in the upcoming years with an aging population and shrinking budgets. Based on analytics effective spending of money is needed. Over the past decade, we have seen substantial improvement in the field of wearable technology and devices. These devices play an important role in delivering health care solutions to elderly people and patients. elderly people and patients will be made to wear personal trackers so that researchers can track the highs and lows of their conditions while they carry on with their lives. Also, remotely monitoring people will cut costs.

[005] "Big Data" is known for handling a high volume of data that gets generated at high velocity with variety in data. The aim is to build generic and usable components to perform analytics by developing novel machine learning algorithms based on vital "physiological signals" recorded from such wearable devices. This analytics platform should support scalability, integration of various predictive models, and also the analysis of sequential data. A data analytics platform is needed to examine in real-time the huge amount of data produced from these wearable devices. The data analytics platform predicts possible health problems associated with abnormal vital signs, thereby recommends precautionary/curative measures in the form of diet prescription, physical activity, sleeping hours for respective age groups, etc. Once the data has been analyzed then the processed data is fed to the mobile application. The state-of-the-art application enables the users to access the best home-based health care and to regulate their day-to-day activities. Since the data is not collected by themselves, people in the medical profession are slow in adapting to the concept of data generated by the patient himself. But there is a gradual adaption of patient generated data analytical systems in many clinical institutions enabling them to provide health care facilities at lower cost and also expand their reach.

[006] There is thus a need for a system and method for managing the selection of resources for managing the health data of the users in a more efficient manner.

SUMMARY

[007] Embodiments in accordance with the present invention provide a wellness monitoring system, the system comprising: a wearable to be worn by a primary user, the wearable comprises: sensors configured to sense signals representing one of, health parameters of the primary user, environmental parameters, or a combination thereof; a data analytics platform is connected to the wearable, the data analytics platform configured to receive the sensed signals from each of the sensors; determine, the health parameters of the primary user and the environmental parameters based on the received sensed signals; match each of the determined health parameters with predefined abnormal health parameters of the primary user stored in a database corresponding to the determined environmental parameters; and generate an alert signal when at least one of the determined health parameters is showing abnormal characteristic, representing abnormal health.

[008] Embodiments of the present invention may provide a number of advantages depending on its particular configuration. First, embodiments of the present application provide a system for determining the wellness of a patient. Next, embodiments of the present application provide a system that uses big data analysis to determine the wellness of a patient.

[009] Next, embodiments of the present application provide a tool that may be able to store and manage the clinical information of a patient.

[0010] Next, embodiments of the present application provide a system that may forecast acute diseases by analyzing different physical signs.

[0011] Next, embodiments of the present application provide a system that may have the ability to predict and alert the medical personal or health care facility based on elderly peoples and patient's abnormal behavior.

[0012] Next, embodiments of the present application provide a system that may be used to share the aggregated and analyzed data of all the patients with other health care agencies through the API end points which helps in treating elderly people and patients in different locations.

[0013] These and other advantages will be apparent from the present application of the embodiments described herein.

[0014] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.

BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:

[0016] FIG. 1 illustrates a block diagram depicting a wellness monitoring system, according to an embodiment of the invention disclosed herein;

[0017] FIG. 2 illustrates the wearable of the wellness monitoring system, according to an embodiment of the invention disclosed herein;

[0018] FIG. 3 depicts components of a data analytics platform, according to an embodiment of the invention disclosed herein; and

[0019] FIG. 4 illustrates a process flow of the wellness monitoring system, according to another embodiment of the invention disclosed herein.

[0020] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words "include", "including", and "includes" mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.

DETAILED DESCRIPTION

[0021] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0022] In any embodiment described herein, the open-ended terms "comprising," "comprises," and the like (which are synonymous with "including," "having" and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0023] As used herein, the singular forms "a", "an", and "the" designate both the singular and the plural, unless expressly stated to designate the singular only.

[0024] FIG. 1 illustrates a block diagram depicting a wellness monitoring system 100, according to an embodiment of the present invention. According to an embodiment of the present invention, the wellness monitoring system 100 may be configured to process the wellness data of a primary user. The primary user may be a patient, an elderly, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of primary user. The wellness monitoring system 100 comprises a wearable 102, a data center 104, and a user device 106. Further, the wearable 102, the data center 104, and the user device 106 may communicate with each other through a communication network 108.

[0025] The communication network 108 may include a data network such as, but not limited to, an Internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Metropolitan Area Network (MAN), etc. In some embodiments of the present invention, the communication network 108 may include a wireless network, such as, but not limited to, a cellular network and may employ various technologies including an Enhanced Data Rates for Global Evolution (EDGE), a General Packet Radio Service (GPRS), etc. In some embodiments of the present invention, the communication network 108 may include or otherwise cover networks or sub-networks, each of which may include, for example, a wired or a wireless data pathway. Examples of the communication network 108 may further include, but are not limited to, a Personal Area Network (PAN), a Storage Area Network (SAN), a Home Area Network (HAN), a Campus Area Network (CAN), a Virtual Private Network (VPN), an Enterprise Private Network (EPN), Internet, a Global Area Network (GAN), and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the communication network 108, including known, related art, and/or later developed technologies to connect components of the wellness monitoring system 100. According to an embodiment of the present invention, the wearable 102, the data center 104, and the user device 106 may be configured to communicate with each other by one or more communication mediums connected to the communication network 108. The communications mediums include, but are not limited to, a coaxial cable, a copper wire, a fiber optic, a wire that comprise a system bus coupled to a processor of a computing device, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of communication medium, including known, related art, and/or later developed technologies.

[0026] According to an embodiment of the present invention, the wearable 102 may be designed to be worn by a primary user of the wellness monitoring system 100. According to embodiments of the present invention, the wearable 102 may be, but not limited to, a smart watch, a smart glass, a smart ring, a bracelet, a shirt, a shoe, a glove, a cap, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the wearable 102, including known, related art, and/or later developed technologies that may be designed to be worn by the primary user. In an embodiment of the present invention, the wearable 102 may be a battery-operated device that may include a rechargeable battery pack.

[0027] According to embodiments of the present invention, the data center 104 may be configured to receive, store, process and transmit the data related to the wellness monitoring system 100. In embodiments of the present invention, the data center 104 may include data analytics platform 110. The data analytics platform 110 may be a computer readable program that may be capable to control the operations of wellness application 114. The data analytics platform 110 may be configured to process big data received from the primary user, in an embodiment of the present invention. The data analytics platform 110 may be configured to process the big data of the primary user using a machine learning algorithm. Further, the data analytics platform 110 will be explained in detail in conjunction with FIG. 3

[0028] According to embodiments of the present invention, the data center 104 further comprises a database 112 that may be capable of storage and retrieval of the data associated with the wellness monitoring system 100. In a preferred embodiment of the present invention, the database 112 may be configured to use a Hadoop method of storage and processing of big data. According to embodiments of the present invention, the database 112 may be, but is not limited to, a centralised database, a distributed database, a personal database, an end-user database, a commercial database, a Structured Query Language

(SQL) database, a non-SQL database, an operational database, a relational database, a cloud database, an object-oriented database, a graph database, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the database 112 including known, related art, and/or later developed technologies

[0029] According to embodiments of the present invention, the wellness monitoring system 100 further comprises the user device 106 that may be, but not limited to, a mobile device, a smartphone, a tablet computer, a portable computer, a laptop computer, a desktop computer, a smart device, a smartwatch, a smart glass, and so forth. Embodiments are intended to include or otherwise cover any type of the user device 106, including known, related art, and/or later developed technologies. According to embodiments of the present invention, the user device 106 may enable a user to transmit data and receive data within the wellness monitoring system 100. According to embodiments of the present invention, the user may be, but not limited to, a doctor, a physician, a medical representative, a family member, and so forth. Further, a user device 106 may comprise applications such as, but not limited to, an e-commerce application, a communication application, a social media application, a books application, an education application, a health application, a finance application, and so forth. In a preferred embodiment, the user device 106 may comprise a wellness application 114. Embodiments are intended to include or otherwise cover any type of the application, including known, related art, and/or later developed technologies. According to embodiments of the present invention, the wellness application 114 may be a computer readable program that may be configured to enable the user to register into the data analytics platform 110 and access the data analytics platform 110.

[0030] Further, the user device 106 may also comprise a user interface 116. The user interface 116 may be configured to display data associated with the wellness monitoring system 100, in an embodiment of the present invention. The user interface 116 may be, but is not limited to, a digital display, a touch screen display, a graphical user interface, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the user interface 116 including known, related art, and/or later developed technologies.

[0031] According to an embodiment of the present invention, the user device 106 may further include a processor 118 that may be configured to communicate with the wearable 102 using the communication network 108. Further, the processor 118 may be configured to receive and transmit data associated with the wellness monitoring system 100, in an embodiment of the present invention. According to embodiments of the present invention, the processor 118 may be, but not limited to, a Programmable Logic Control unit (PLC), a microcontroller, a microprocessor, a computing device, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processor 118 including known, related art, and/or later developed technologies that may be capable of processing the received data.

[0032] FIG. 2 illustrates the wearable 102 of the wellness monitoring system 100, according to an embodiment of the present invention. According to embodiments of the present invention, the wearable 102 may be, but not limited to, a smart glass, a smart ring, a bracelet, a shirt, a shoe, a glove, a cap, and so forth. In a preferred embodiment of the present invention, the wearable 102 may be a smartwatch that may be designed to be worn by the primary user of the wellness monitoring system 100. Embodiments of the present invention are intended to include or otherwise cover any type of the wearable 102, including known, related art, and/or later developed technologies. The wearable 102 may comprise a body 200, a strap 202, sensors 204a-204n (hereinafter referred to as the sensors 204), a location detector 206, a communication device 208, a controller 210, a display 212, and so forth.

[0033] According to an embodiment of the present invention, the body 200 of the wearable 102 may be designed to accommodate components of the wearable 102 such as, but not limited to, the sensors 204, the location detector 206, the communication device 208, the controller 210, and so forth. According to an embodiment of the present invention, the body 200 of the wearable 102 may be made up of a material such as, but not limited to, a metal, a plastic, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the material for the body 200 of the wearable 102, including known, related art, and/or later developed technologies. Further, the strap 202 may be provided to enable the primary user to wear the wearable 102 around the wrist of the primary user. According to an embodiment of the present invention, the strap 202 of the wearable 102 may be made up of a material such as, but not limited to, a rubber, a plastic, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the material for the strap 202 of the wearable 102, including known, related art, and/or later developed technologies.

[0034] According to embodiments of the present invention, the sensors 204 may be configured to sense signals representing parameters associated with the primary user in real-time. In an embodiment of the present invention, the sensors 204 may be configured to sense signals representing data such as, but not limited to, health parameters of the primary user, environmental parameters, and so forth. According to embodiments of the present invention, the health parameters of the primary user may include, but is not limited to, a body temperature, a heart rate, an electrical activity produced by muscles, thermoregulation, a blood pressure, a body fat, a respiration data, a body oxygenation value, an eye movement, a metabolic change, a blood flow, a psychological feeling, an electrical brain activity, a brain wave, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the health parameters of the primary user including known, related art, and/or later developed technologies. According to embodiments of the present invention, the environmental parameters may include, but are not limited to, an outside temperature, an elevation, humidity, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the environmental parameters including known, related art, and/or later developed technologies.

[0035] According to embodiments of the present invention, the sensors 204 may be, but not limited to, a body temperature sensor, an Electroencephalography (EEG) sensor, a heart rate sensor, a Q sensor, an accelerometer sensor, a gyro sensor, an electrooculogram (EOG) sensor, a neural sensor, a respiration sensor, a blood condition sensor, a blood pressure sensor, a body fat sensor, a position sensor, a force sensor, a thermostat, a Kinect sensor, an IMU (Inertial Measurement Unit) sensor, a motion detector, a voice recognition sensor, a pulse rate sensor, a shock sensor, an impact sensor, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the sensors 204 including known, related art, and/or later developed technologies that may be capable of sensing parameters associated with the wellness monitoring system 100.

[0036] Further, the wearable 102 comprises the location detector 206 configured to detect real-time coordinates of the primary user, according to embodiments of the present invention. According to embodiments of the present invention, the location detector 206 may be, but not limited to, a Global Position System (GPS) device that may be capable of detecting the real-time coordinates of the primary user. Embodiments of the present invention are intended to include or otherwise cover any type of the location detector 206, including known, related art, and/or later developed technologies.

[0037] The communication device 208 of the wearable 102 may be configured to transmit data associated with the wellness monitoring system 100, according to an embodiment of the present invention. Further, the communication device 208 may be configured to receive data associated with the wellness monitoring system 100, according to an embodiment of the present invention. According to embodiments of the present invention, the communication device 208 may be, but not limited to, a Bluetooth device, an Infrared (IR) device, a Wireless Fidelity (Wi-Fi) device, a Code-Division Multiple Access (CDMA) device, a Near Field Communication (NFC) device, and so forth. In a preferred embodiment of the present invention, the communication device 208 may be a Global System for Mobile Communication (GSM) device. Embodiments of the present invention are intended to include or otherwise cover any type of the communication device 208, including known, related art, and/or later developed technologies.

[0038] In an embodiment of the present invention, the controller 210 may be configured to receive data associated with the wellness monitoring system 100. Further, the controller 210 may be configured to process the received data to generate an output, according to embodiments of the present invention.

According to embodiments of the present invention, the controller 210 may be, but not limited to, a Programmable Logic Control unit (PLC), a microcontroller, a microprocessor, a computing device, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the controller 210 including known, related art, and/or later developed technologies that may be capable of processing the received signals.

[0039] Further, the display 212 of the wearable 102 may be configured to display an output generated by the controller 210, in an embodiment of the present invention. In an embodiment of the present invention, the display 212 may be configured to enable the primary user to input data into the wellness monitoring system 100. According to an embodiment of the present invention, the display 212 may be, but not limited to, an Electroluminescent Display (ELD), Liquid Crystal Display (LCD), Light-Emitting Diode (LED) display, a Thin-Film Transistor (TFT) display, an Organic Light Emitting Diodes (OLED) display, an Active-Matrix Organic Light-Emitting Diode (AMOLED) display, a Quantum dot display (QLED), and so forth. In a preferred embodiment of the present invention, the display 212 may be a capacitive touch screen display. Embodiments of the present invention are intended to include or otherwise cover any type of the display 212 including known, related art, and/or later developed technologies.

[0040] FIG. 3 depicts components of a data analytics platform 110, according to embodiments of the present invention. The data analytics platform 110 may comprise a wearable configuration module 300, a data collection module 302, a data processing module 304, a notification module 306, and a communication module 308.

[0041] According to embodiments of the present invention, a switch (not shown) may be configured to generate an activation signal when the user of the wellness monitoring system 100 activates the switch. The activation signal may enable the wearable configuration module 300 that may be configured to activate the sensors 204 and the location detector 206 of the wearable 102. The sensors 204 may be configured to sense signals representing one of, health parameters of the primary user, environmental parameters. In an embodiment of the present invention, the wearable configuration module 300 may be further configured to receive a real-time geographical location of the primary user through the location detector 206 of the wearable 102. Further, the wearable configuration module 300 may be configured to transmit the received sensed signals from the sensors 204 and the received real-time geographical location of the primary user to the data collection module 302, in an embodiment of the present invention. Furthermore, the wearable configuration module 300 may be configured to transmit the received real-time geographical location of the primary user to the user device 106 using the communication module 308 over the communication network 108, in an embodiment of the present invention.

[0042] According to embodiments of the present invention, the data collection module 302 may be configured to receive the sensed signals and the received real-time geographical location of the primary user from the wearable configuration module 300. Further, the data collection module 302 may be configured to store the received sensed signals and the received real-time geographical location of the primary user onto a database 112. In another embodiment of the present invention, the data collection module 302 may be configured to fetch clinical data of the primary user from various databases and clinical records. According to an embodiment of the present invention, the data collection module 302 may be further configured to transmit the received sensed signals, the received real-time geographical location of the primary user and the fetched clinical data of the primary user to the data processing module 304.

[0043] The data processing module 304 may be configured to process the received sensed signals from the sensors 204 to determine the health parameters of the primary user such as, a body temperature, a heart rate, an electrical activity produced by muscles, thermoregulation, blood pressure, a body fat, a respiration data, a body oxygenation value, a metabolic change, a blood flow, a psychological feeling, an electrical brain activity, a brain wave, a blood oxygen saturation, and sleep patterns and the environmental parameters such as an outside temperature, a humidity, and air pressure based on the received sensed signals. In an embodiment of the present invention, the database 112 of the wellness monitoring system 100 may be configured to store predefined abnormal health parameters. In an exemplary scenario, if the data processing module 304 determines that the determined health parameters are abnormal showing abnormal characteristics, representing abnormal health, then the data processing module 304 may be configured to generate an alert signal. Similarly, the data processing module 304 may be configured to generate a notification. Further, the notification may comprise a name of the primary user, a real-time location of the primary user, the determined abnormal health parameter of the primary user, and so forth. In another exemplary scenario, if the data processing module 304 determines that the determined health parameter of the primary user is displaying normal characteristics, then the data processing module 304 may be configured to enable the wearable configuration module 300 to continue receiving sensed signals from the sensors 204. Further, the data processing module 304 may be configured to transmit the generated notification to the notification module 306, in an embodiment of the present invention.

[0044] The notification module 306 may be configured to receive the generated notification from the data processing module 304. Further, the notification module 306 may be configured to transmit the generated notification to the wellness application 114 installed on the user device 106 of the primary user and the secondary user using the communication module 308 over the communication network 108. The notification may be, transmitted to, but not limited to, a doctor, a physician, a medical representative, a family member, a patient, an elderly person, and so forth.

[0045] FIG. 4 illustrates a process flow of the wellness monitoring system 100, according to an embodiment of the present invention. The wearable device 102 like fitness trackers and smartwatches may be used within the realm of healthcare. The wearable fitness trackers have a varied set of sensors 204 that may collect data about the user throughout the day. The sensors 204 may be built to track a range of fitness and health parameters activities like sleep, walk, exercises, diet, and heartbeat, etc. The amount of data generated by wearable 102 worn by a huge number of elderly people and patients needs to be stored and analysed. This data gets generated at high speeds. Different elderly people and patients generate a variety of data that are unique to that person and the data should be checked for its veracity. High value data is used to improve the health conditions of patients and elderly people and map unhealthy communities by employing geo-spatial data analytic techniques. Data emitting from different patients or elderly people for different types of ailments requires an altogether different strategy to store the data. Hadoop platform will be deployed to store the clinical data obtained from the wearable 102. Big data technologies enable all clinical test centers to have real-time access to patient's or elderly people's information regardless of where the information is conducted. Further, the data analytics platform 110 may use machine learning algorithms. The machine learning algorithms have great potential in unearthing hidden patterns that are specific to medical data which can be helpful in the diagnosis of the patients. Predictive modelling can be used to establish the relationships between various attributes which may cause ageing. the data analytics platform 110 may be used to share the aggregated and analysed data of all the patients with other health care agencies through the API end points which helps in treating elderly people and patients in different locations. If some abnormal signal is detected, the data analytics platform 110 sends the message to the wellness application 114 that may be installed on the user device 106 of the secondary user to get the necessary help from a medical facility. The wellness monitoring system 100 enables the transmission of information to the right people at the appropriate time to improve decision making.

[0046] Embodiments of the invention are described above with reference to block diagrams and schematic illustrations of methods and systems according to embodiments of the invention. It will be understood that each block of the diagrams and combinations of blocks in the diagrams can be implemented by computer program instructions. These computer program instructions may be loaded onto one or more general purpose computers, special purpose computers, or other programmable data processing apparatus to produce machines, such that the instructions which execute on the computers or other programmable data processing apparatus create means for implementing the functions specified in the block or blocks. Such computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the function specified in the block or blocks.

[0047] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

[0048] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims.

Claims

1. A wellness monitoring system (100), the system (100) comprising:

a wearable (102) to be worn by a primary user, the wearable (102) comprises:

sensors (204a-204n) configured to sense signals representing one of, health parameters of the primary user, environmental parameters, or a combination thereof;

a data analytics platform (110) is connected to the wearable (102), the data analytics platform (110) configured to:

receive the sensed signals from each of the sensors (204a-204n);

determine, the health parameters of the primary user and the environmental parameters based on the received sensed signals;

match each of the determined health parameters with predefined abnormal health parameters of the primary user stored in a database (112) corresponding to the determined environmental parameters; and

generate an alert signal when at least one of the determined health parameters is showing abnormal characteristics, representing abnormal health.

2. The system as claimed in claim 1, the data analytics platform (110) may be configured to generate a notification, wherein the generated notification is transmitted to a wellness application (114) installed on the user device (106) of the primary user as well as the secondary user.

3. The system as claimed in claim 1, wherein the primary user may be one of, a patient, an elderly person, or a combination thereof.

4. The system as claimed in claim 1, wherein the secondary user may be one of, a doctor, a physician, a medical representative, a family member, or a combination thereof.

5. The system as claimed in claim 1, wherein the notification comprises one of, a name of the primary user, a real-time location of the primary user, the determined abnormal health parameter, of the primary user, or a combination thereof.

6. The system as claimed in claim 1, wherein the health parameters comprises one of, a body temperature, a heart rate, an electrical activity produced by muscles, thermoregulation, blood pressure, body fat, respiration data, a body oxygenation value, a metabolic change, a blood flow, a psychological feeling, an electrical brain activity, a brain wave, a blood oxygen saturation, a sleep pattern, or a combination thereof.

7. The system as claimed in claim 1, wherein the environmental parameters is one of, an outside temperature, a humidity, an air pressure, or a combination thereof.

8. The system as claimed in claim 1, wherein the data analytics platform (110) is configured to process the data using a machine learning algorithm.

9. The system as claimed in claim 1, wherein sensors (204a-204n) are selected from one of, an Electroencephalography (EEG) sensor, a heart rate sensor, sp02 sensor, a temperature sensor, or a combination thereof.

10. The system as claimed in claim 1, wherein the database (112) uses a Hadoop platform for storage and processing of big data.