[0001] The present disclosure relates generally to field of health monitoring. More particularly, the present disclosure provides a system for health monitoring and alerting, which assists in preventing transmission of contagious disease caused due to bacteria, virus, fungi, and other microorganisms of entities.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Nowadays transmission of infection through microbes like virus, bacteria and fungi in entities are common and sometimes causes serious diseases like COVID- 19 and other similar contagious diseases. The novel coronavirus disease COVID-19, caused by the SARS-CoV-2 Virus, has spread rapidly around the globe and declared pandemic by WHO. The nature of transmission of the virus is very high, no treatments, and vaccines are available in the market. Though, certain measures can be taken to avoid transmission of infection like social distancing strategies such as isolation, quarantine and community containment, sanitization, boosting immunity, and the likes. But, following these measures and keeping them in mind every time can be bit difficult for entities. Although to practice social distancing all the times across the sectors especially in the manufacturing industries, offices, schools, big shopping stores, construction sites, crowded premises and many more seems to be physically and economically impossible..
[0004] The occurrence of contagious diseases is associated with symptoms like, fever, cough, breathing problem, and the likes. Therefore, health monitoring of entities is essential to identify symptoms and accordingly take precautions. Heath of the entities can be monitored with help of various means. There are devices and systems existing in market that aids in monitoring health of the entities continuously and alerts the entities to take necessary precautions. Each entity can get update only for their health, not others. An infected entity can infect other entities easily, therefore, a system is required which not only alerts the entity associated with the system, but also alerts the nearby entities to take necessary precautions timely.
[0005] There is, therefore a need in the art to provide a solution to mitigate above-mentioned and other problems, and to provide a reliable, cost-effective, efficient, and user-friendly system.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure aimed to ameliorate one or more problems of the prior art or to at least provide a useful alternative are listed herein below.
[0007] An object of the present disclosure is to provide a system that facilitates in monitoring various health parameters.
[0008] An object of the present disclosure to provide a system that facilitates in alerting entities in case of symptoms like fever, cold, cough and the likes and helps in preventing spread of contagious diseases and other similar diseases.
[0009] An object of the present disclosure is to provide a system that alerts nearby entities to prevent transmission of the viruses, bacteria, and other microorganism that causes contagious diseases.
[0010] An object of the present disclosure is to provide a system for monitoring health, which is user-friendly, highly scalable, affordable, and cost effective.
[0011] An object of the present disclosure is to provide a system that reduces the consumption of energy.

SUMMARY
[0012] The present disclosure relates generally to field of health monitoring. More particularly, the present disclosure provides a system for health monitoring and alerting, which assists in preventing transmission of contagious disease caused due to bacteria, virus, fungi, and other microorganisms of entities.
[0013] According to an aspect, the present disclosure provides a health monitoring and alerting system, the system may include an adhesive element configured to be adhered to skin of an entity. The adhesive element may include a first set of sensors configured to detect temperature of the entity, and correspondingly generate a first set of signals, a second set of sensors configured to detect pulse of the entity, and correspondingly generate a second set of signals, and a third set of sensors configured to detect movement associated with a body part of the entity, and correspondingly generate a third set of signals.
[0014] In an aspect, the system may include a processing unit operatively coupled with the first set of sensors, the second set of sensors, and the third set of sensors, where the processing unit may comprises of one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to receive the first set of signals, the second set of signals, and the third set of signals. The processing unit may be configured to extract temperature from the first set of signals, pulse rate from the second set of the signals, and cold parameters from the third set of signals. The processing unit may be configured to compare the extracted temperature, pulse rate, and cold parameters with a dataset, where the dataset may include predefined limits ranges of temperature, pulse rate, and cold parameters. The processing unit may be configured generate a set of warning signals, when at least one of the temperature, pulse rate, and cold parameters are beyond the respective predefined limit ranges.
[0015] In an aspect, the adhesive element may be adhered to the suprasternal notch of the entity, configured to detect the movement associated with a body part of the entity, and where the body part comprises any or combination of throat, nose, neck, limbs, and the likes.
[0016] In an aspect, the first set of sensors may include any or a combination of thermocouple, thermometer, and temperature sensor.
[0017] In an aspect, the second set of sensors may include any or a combination of pulse sensor, heart rate sensor, respiration sensor, and pulse oximeter.
[0018] In an aspect, the third set of sensors may include any or a combination of accelerometer, tri-axis accelerometer, and respiration sensor.
[0019] In an aspect, the cold parameters may include any or a combination of watery eyes, runny nose, shortness of breath, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, and cough.
[0020] In an aspect, one or more mobile computing devices may be communicatively coupled with the processing unit, configured to receive the set of warning signals from the processing unit, and where the one or more mobile computing devices may include any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
[0021] In an aspect, the system may include a communication unit operatively coupled with the processing unit, configured to communicatively couple the one or more mobile computing devices with the processing unit, and where the communication unit may include any or a combination of Wireless Fidelity (Wi-Fi) Module, Bluetooth Module, Li-Fi Module, optical fiber, Wireless Local Area Network (WLAN), and ZigBee.
[0022] In an aspect, the system may include an alert unit operatively coupled with the processing unit, where the alert unit gets activated upon receiving the set of warning signals by the processing unit, and where the alert unit may include any or a combination of buzzer, alarm, and light emitting diode (LED).
[0023] In an aspect, the processing unit may determine the variations of the extracted temperature, pulse rate, and cold parameters with their pre-defined limit ranges, and may classify the warning signals into one or more categories healthy, low risk, high risk, and where the alert unit may generate a distinct sound for each category. In another aspect, the cold parameters may include any or a combination of watery eyes, runny nose, shortness of breath, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, and cough.
[0024] In an aspect, the system may include a power source configured to supply electric power to the first set of sensors, the second set of sensors, the third set of sensors and the processing unit, and where the power source may include any or a combination of rechargeable battery, lithium (Li) ion cell, rechargeable cells, solar cell, solar battery, electrochemical cells, storage battery, and secondary cell.
[0025] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.
[0026] Within the scope of this application it is expressly envisaged that the various aspects, embodiments, examples and alternatives set out in the preceding paragraphs, in the claims and/or in the following description and drawings, and in particular the individual features thereof, may be taken independently or in any combination. Features described in connection with one embodiment are applicable to all embodiments, unless such features are incompatible.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
[0027] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure. The diagrams are for illustration only, which thus is not a limitation of the present disclosure.
[0028] FIG. 1 illustrates a network implementation of proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[0029] FIG. 2 illustrates a block diagram of the proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[0030] FIG. 3 illustrates exemplary functional components of the processing unit of the proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[0031] FIG. 4 illustrates an exemplary view of the proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0032] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0033] Embodiments of the present invention include various steps, which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with the instructions to perform the steps. Alternatively, steps may be performed by a combination of hardware, software, firmware and/or by human operators.
[0034] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic. As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0035] While embodiments of the present invention have been illustrated and described, it will be clear that the invention is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the spirit and scope of the invention, as described in the claim.
[0036] The present disclosure relates generally to field of health monitoring. More particularly, the present disclosure provides a system for health monitoring and alerting, which assists in preventing transmission of contagious disease caused due to bacteria, virus, fungi, and other microorganisms of entities.
[0037] According to an aspect the present disclosure pertains to a health monitoring and alerting system comprising an adhesive element configured to be adhered to skin of an entity, the adhesive element comprising: a first set of sensors configured to detect temperature of the entity, and correspondingly generate a first set of signals, a second set of sensors configured to detect pulse of the entity, and correspondingly generate a second set of signals, and a third set of sensors configured to detect movement associated with a body part of the entity, and correspondingly generate a third set of signals, a processing unit operatively coupled with the first set of sensors, the second set of sensors and the third set of sensors, where the processing unit can include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to receive the first set of signals, the second set of signals and the third set of signals.
[0038] In an embodiment, the processing unit extract temperature from the first set of signals, pulse rate from the second set of the signals, and the cold parameters from the third set of signals, compare the extracted temperature, pulse rate, and cold parameters with a dataset, where the dataset comprises predefined limits ranges of temperature, pulse rate, and cold parameters, and generate a set of warning signals, when at least one of the temperature, pulse rate, and cold parameters are beyond the respective predefined limit ranges, where the cold parameters can include any or a combination of watery eyes, runny nose, shortness of breath, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, and cough.
[0039] In an embodiment, the first set of sensors can include any or a combination of thermocouple, thermometer, and temperature sensor.
[0040] In an embodiment, the second set of sensors can include any or a combination of pulse sensor, heart rate sensor, respiration sensor and pulse oximeter.
[0041] In an embodiment, the third set of sensors can include any or a combination of accelerometer, tri-axis accelerometer, and respiration sensor.
[0042] In an embodiment, one or more mobile computing devices communicatively coupled with the processing unit, configured to receive the set of warning signals from the processing unit, and where the one or more mobile computing devices comprise any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
[0043] In an embodiment, the system can include a communication unit operatively coupled with the processing unit, configured to communicatively couple the one or more mobile computing devices with the processing unit, and where the communication unit can include any or a combination of Wireless Fidelity (Wi-Fi) Module, Bluetooth Module, Li-Fi Module, optical fiber, Wireless Local Area Network (WLAN), and ZigBee.
[0044] In an embodiment, the system can include an alert unit operatively coupled with the processing unit, where the alert unit gets activated upon receiving the set of warning signals by the processing unit, and where the alert unit can include any or a combination of buzzer, alarm, and light emitting diode (LED).
[0045] In an embodiment, the processing unit can be configured to determines the variations of the extracted temperature, pulse rate, and cold parameters with their pre-defined limit ranges, where the cold parameters can include any or a combination of watery eyes, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, and cough, and classify the warning signals into one or more categories healthy, low risk, high risk, and where the alert unit generates a distinct sound for each category.
[0046] In an embodiment, the system can include a power source configured to supply electric power to the first set of sensors, the second set of sensors, the third set of sensors and the processing unit.
[0047] In an embodiment, the power source can include any or a combination of rechargeable battery, lithium (Li) ion cell, rechargeable cells, solar cell, solar battery, electrochemical cells, storage battery, and secondary cell.
[0048] FIG. 1 illustrates a network implementation of proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[0049] As illustrated in FIG. 1, the proposed system 100 (also referred to as network system 100, herein) can include a networking module 102 (interchangeably referred to as network 102, herein), one or more mobile computing devices 104-1, 104-2, 104-3…..104-N (collectively referred as mobile computing devices 104 , and individually referred to as a mobile computing device 104) associated with the one or more entities 1106-1, 106-2, 106-3….106-N (collectively referred to as entities 106, and individually referred to as an entity 106, herein). A processing unit 108 can be coupled to the networking module 102, and the networking module 102 can be coupled with the server 112. The mobile computing device 104 can be communicatively coupled with the networking module via server 112.
[0050] In an embodiment, the network system 100 can be implemented using any or a combination of hardware components and software components such as a cloud, a server, a computing system, a computing device, a network device and the like. In an exemplary embodiment, the mobile computing device 104-1 and the mobile computing device 104-2 can interact through plurality of networking module, such as Wi-Fi, Bluetooth, Li-Fi, or an application, that can reside in the mobile computing device 104. In an implementation, the network system 100 can be accessed by the networking module 102 or a server 112 that can be configured with any operating system, including but not limited to, AndroidTM, iOSTM, and the like.
[0051] In an embodiment, the processing unit 108 and the mobile computing device 104 can communicate with the network system 100 through the networking module 102. The mobile computing devices104 can include a variety of computing devices, including but not limited to, a laptop computer, a desktop computer, a notebook, a workstation, a portable computer, a personal digital assistant, a handheld device, a smartphone and a mobile device. Further, the networking module 102 can be a wireless network, a wired network or a combination thereof that can be implemented as one of the different types of networks, such as Intranet, Local Area Network (LAN), Wide Area Network (WAN), Internet, and the like. Further, the networking module 102 can either be a dedicated network or a shared network. The shared network can represent an association of the different types of networks that can use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like.
[0052] In an embodiment, the processing unit 108 can be communicatively coupled with the mobile computing device 104 with help of a communication module, where the communication module can include any or a combination of Bluetooth module, ZigBee, and the likes.
[0053] FIG. 2 illustrates a block diagram of the proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[0054] As illustrated in FIG. 2, the proposed system 100 (interchangeably referred to as system 100) can include an adhesive element 110, where the adhesive element 110 can be adhered to a body part of the entity 106, where the body part can be any or combination of throat, nose, neck, limbs, but not limited to the likes. In an exemplary embodiment, the adhesive element 110 can be adapted in the form of a patch, bandage, and the likes, which can be adhered easily to the body part of the entity, and the entity can move easily after adhering the adhesive element 110 to the body part of the entity.
[0055] In an embodiment, the adhesive element 100 can include a first set of sensors 202, a second set of sensors 204, a third set of sensors 206, a processing unit 108, and an alert unit 208. In an embodiment, the first set of sensors 202, the second set of sensors 204, the third set of sensors 206, and the alert unit 208 can be operatively coupled with the processing unit 108.
[0056] In an embodiment, the first set of sensors 202 can be configured to detect temperature of an entity, and correspondingly generate a first set of signals. In an illustrative embodiment, the first set of sensors 202 can include any or a combination of temperature sensor, thermocouple, thermometer, and the likes. The first set of signals generated by the first set of sensors 202 can be in electrical form. The electrical signals can be transmitted to the processing unit 108.
[0057] In an embodiment, the second set of sensors 204 can be configured to detect pulse rate of the entity, and correspondingly generate a second set of signals. In an illustrative embodiment, the second set of sensors 204 can include any or a combination of pulse sensor, pulse oximeter, heart rate sensor, respiratory rare sensor, and the likes. In an illustrative embodiment, the second set of sensors can detect any or a combination of pulse rate, heart rate, respiratory rate, and the likes. The second set of signals can be generated in electrical form. The second set of signals can be transmitted to the processing unit 108.
[0058] In an embodiment, the third set of sensors 206 can be configured to detect movement associated with the body part of the entity. In an illustrative embodiment, the third set of sensors can include any or a combination of accelerometer, tri-axis accelerometer, and respiration sensor, and the likes. The third set of signals can be in electrical form, and the third set of signals can be transmitted to the processing unit 108.
[0059] In an illustrative embodiment, the processing unit 108 can be microprocessor, microcontroller, Arduino Uno, At mega 328, and other similar processing unit 108. In another illustrative embodiment, the processing unit 108 can be configured to receive the first set of signals, the second set of signals and the third set of signals in electrical form. In another illustrative embodiment, the processing unit 108 can be communicatively coupled with a mobile computing device 104 through a communication module and where the mobile computing device 104 can be configured to receive the set of warning signals. In yet another illustrative embodiment, the communication module can include any or a combination of Wireless Fidelity (Wi-Fi) module , Bluetooth module, Li-Fi module , optical fiber, Wireless Local Area Network (WLAN), ZigBee module and the likes.
[0060] In an embodiment, the processing unit 108 can be configured to activate the alert unit 208 to transmit the warning signals to the one or more computing devices. In an embodiment, the alert unit 208 can be activated based on the received set of warning signals from the processing unit 108. In an illustrative embodiment, the alert unit 208 can include any or a combination of light emitting diode, buzzer, alarm and the likes. In another illustrative embodiment, the set of warning signals facilitates determining the nearby infected entity through the mobile computing device 104 where the mobile computing device 104 can be associated with an entity 106.
[0061] In an illustrative embodiment, the processing unit 208 can be configured to receive the first set of signals, the second set of signals, and the third set of signals from the first set of sensors 202, the second set of sensors 204, and the third set of sensors respectively. When at least one of the exceeded temperature, abnormal pulse rate, and cold parameters of the entity is detected, the processing unit 108 can be configured to generate the set of warning signals. The abnormal temperature, abnormal pulse rate, abnormal cold parameters can pertain to exceeded predefined limit ranges, where the predefined limit can be stored in a database 310 of the processing unit 108, where the cold parameters can include any or a combination of watery eyes, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, and cough. The set of warning signals can activate the alert unit 208 and facilitate determining health condition the entity 106. The processing unit 108 can be communicatively coupled with the mobile computing device 104 through a communication module where the mobile computing device 104 can be associated with the entity 106.
[0062] In an illustrative embodiment, the system 100 can include a power source coupled with the adhesive element 110, where the power source can be configured to supply electric power to the system 100. In another illustrative embodiment, the power source can include any or a combination of cell, battery, and the likes. In yet another illustrative embodiment, the system 100 can facilitate preventing transmission of contagious diseases among the entity 106 by transmitting the warning signals to the nearby entities 106 through the associated mobile computing device 104.
[0063] In an embodiment, the alert unit 208 can be operatively coupled with the processing unit 108, where the alert unit 208 gets activated upon receiving the set of warning signals by the processing unit, and where the alert unit 208 can include any or a combination of buzzer, alarm, light emitting diode (LED), and the likes. In an illustrative embodiment, the alert unit 208 can generate a distinct sound for each category classified by the processing unit 108, where the categories classified by the processing unit 208 can be healthy, low risk, high risk, and the likes, on the basis of extracted temperature, abnormal pulse rate, and cold parameters In an exemplary embodiment, when the body temperature of the entity is detected 39.4°C, the heart rate is above 100 bpm, less than 12 breathings per minute, the number of sneezes are more than three in a row with sharp pain on chest, and phlegm is not produced with the cough, in this case the entity can be recognized in a high risk category.
[0064] FIG. 3 illustrates exemplary functional components of the processing unit of the proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[0065] As illustrated in an embodiment, the processing unit 108 can include one or more processor(s) 302. The one or more processor(s) 302 can be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) 302 are configured to fetch and execute computer-readable instructions stored in a memory 304 of the processing unit 108. The memory 304 can store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory 304 can include any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0066] In an embodiment, the processing unit 108 can also include an interface(s) 306. The interface(s) 306 may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) 306 may facilitate communication of the processing unit 108 with various devices coupled to the processing unit 108. The interface(s) 306 may also provide a communication pathway for one or more components of processing unit 108. Examples of such components include, but are not limited to, processing engine(s) 308 and data 310.
[0067] In an embodiment, the processing engine(s) 308 can be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) 308. In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) 308 may be processor executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) 308 may include a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) 308. In such examples, the processing unit 108 can include the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to processing unit 108 and the processing resource. In other examples, the processing engine(s) 308 may be implemented by electronic circuitry. A database 310 can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) 308.
[0068] In an embodiment, the processing engine(s) 308 can include an extraction unit 312, a comparison unit 314, a signal generation unit 316, and other unit (s) 318. The other unit(s) 318 can implement functionalities that supplement applications or functions performed by the device 106 or the processing engine(s) 308.
[0069] The database 310 can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) 308.
[0070] It would be appreciated that units being described are only exemplary units and any other unit or sub-unit may be included as part of the system 100. These units too may be merged or divided into super- units or sub-units as may be configured.
[0071] As illustrated in FIG. 3, the processing unit 108 can be configured to receive a first set of signals from a first set of sensors 202, a second set of signals from a second set of sensors 204, and a third set of signals from a third set of sensors 206 in electrical form. In an embodiment, the processing unit 108 can be configured to extract temperature from the first set of signals, pulse rate from the second set of signals, and cold parameters from the third set of signals with help of the extraction unit 312. In another embodiment, the processing unit 108 can be configured to match the temperature, pulse rate, and at least one of the cold parameters, with a dataset with help of the matching unit 314, where the dataset can include predefined limit ranges. In yet another embodiment, the processing unit 108 can be configured to generate a set of warning signals with help of the signal generation unit 316 when the matched temperature, pulse rate pulse rate, and at least one of the cold parameter are beyond the predefined limit ranges.
[0072] In an illustrative embodiment, a pulse oximeter can be operatively coupled to the system 100, where the pulse oximeter can detect oxygen saturation level in the blood of the entity 106, and correspondingly generate a fourth set of signals.
[0073] In an illustrative embodiment, the processing unit 108 can be configured with machine learning modules and machine learning techniques. In another illustrative embodiment, computational intelligence can be applied to the processing unit 108 to automate process of prediction in health monitoring of the entities 106. The prediction can include severity of the one or more symptoms cold, cough, fever, contagious disease, SARS, COVID-19, and likes, where the symptoms can be determined form the signals received from the first set of sensors 202, the second set of sensors 204, the third set of sensors 206, and the pulse oximeter. In yet another illustrative embodiment, the machine learning techniques can include any or a combination of Artificial Neural Network (ANN), Evolutionary Computation, Swarm Intelligence, Artificial Immune System, Fuzzy System. The machine learning modules and the techniques can be configured to create training and testing dataset based on the first set of signals, the second set of signals, the third set of signals, and the fourth set of signals received from the first set of sensors 202, the second set of the sensors 204, the third set of sensors 206, and the pulse oximeter.
[0074] In an illustrative embodiment, the extraction unit 312 can be configured to extract the temperature of the entity 106 from the first set of signals, where the first set of signals can be generated by the first set of sensors 202, the pulse rate of the entity 106 from the second set of signals, where the second set of signals can be generated by the second set of sensors 202, and the cold parameters of the entity 106 from the third set of signals, where the third set of signals can be generated by the third set of sensors 206.
[0075] In an illustrative embodiment, the comparison unit 314 can be configured to receive the extracted temperature, pulse rate, and at least one cold parameter from the extraction unit 312 in machine readable form. The comparison unit 314 can facilitate in comparing the extracted temperature, pulse rate, and cold parameter with a dataset, where the dataset can pertain to predefined limit ranges. The comparison unit 314 can compare the extracted temperature, pulse rate, and cold parameters with the dataset stored in database 310, where the predefined limit ranges can include threshold values pertaining to the temperature, pulse rate, and cold parameters of the entities 106. The comparison unit 314 can compare the extracted temperature, pulse rate, and cold parameters, and can facilitate in finding whether the extracted temperature, pulse rate, and cold parameters has reached the predefined limit ranges. In another illustrative embodiment, the threshold value can include limit range of thirty seven degrees centigrade (37°C) but not limited to the likes for the temperature, limit range of sixty to hundred beats per minute for adults, but not limited to the likes for the pulse rate, limit range of 12 breathings per minute and 500mL per breathing, but not limited to the likes for the breathing pattern, and limit range of cold parameters to less than three sneezes in a row, and phlegm is produced with the cough, but not limited to the likes. In an illustrative embodiment, the comparison unit 314 can be configured to compare the extracted temperature, pulse rate, and cold parameters with a dataset, where the dataset can include predefined limit ranges. The comparison unit 314 can receive the extracted temperature, pulse rate, and cold parameters from the extraction unit 312, and can compare with the dataset stored in the database 310. The predefined limit ranges can include threshold values pertaining to the temperature, pulse rate, and cold parameters associated with the entities 106. The comparison unit 314 can facilitate in finding whether the extracted temperature, pulse rate, and cold parameters has reached the predefined limit ranges.
[0076] In an illustrative embodiment, the comparison unit 314 can receive the extracted cold temperature, pulse rate, and cold parameters in machine readable form. The comparison unit 314 can facilitate in comparing the received extracted temperature, pulse rate, and cold parameters in machine readable form with help of a comparator. The comparator can enable comparing the extracted temperature, pulse rate, and cold parameters with the predefined limit ranges. The comparator can include an analogue comparator or a digital comparator. The digital comparators can compare extracted temperature, pulse rate, and cold parameters with the predefined limit ranges, where the cold parameters can include any or a combination of watery eyes, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, and cough. The digital comparators can facilitate comparison with help of logic gates such as AND, NOT or NOR gates. The digital comparator can be configured to accept the extracted temperature, pulse rate, and cold parameters in the machine readable form. Further three conditions can be applicable for the comparison of the extracted temperature, pulse rate, and cold parameters with the predefined limit ranges.
[0077] In an illustrative embodiment, the three conditions associated with the digital comparator can include a first condition, which can prevail when the extracted temperature, pulse rate, and at least one of the cold parameter are found equal to the predefined limit ranges, a second condition can prevail when the extracted temperature, pulse rate, and at least one of the cold parameter are found beyond the predefined limit ranges, and the third condition can prevail when the extracted temperature, pulse rate, and at least one of the cold parameter are found less than the predefined limit ranges. The digital comparator can compare and transmit the compared temperature, pulse rate, and cold parameters to the signal generation unit 316.
[0078] In an embodiment, the signal generation unit 316 can be configured to receive the compared temperature, pulse rate, and cold parameters in machine readable form. The signal generation unit 316 can be configured to generate a set of warning signals when at least one of the compared temperature, pulse rate, and at least one of the cold parameters are found beyond the predefined limit ranges. In an illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared temperature is found beyond the threshold value, where the threshold value can include the limit range of thirty-seven degrees centigrade but not limited to the likes. When the temperature parameters associated with the entity 106 is found beyond thirty-seven degrees centigrade by the comparison unit 314, the signal generation unit 316 can be configured to generate the set of warning signals and transmit the set of warning signals to mobile computing devices 104.
[0079] In another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared pulse rate is found beyond the predefined limit ranges. In yet another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared pulse rate is found beyond the threshold value, where the threshold value can include the limit range of sixty to hundred beats per minute for adults, but not limited to the likes. When the pulse parameters associated with the entity 106 is found beyond hundred beats per minute, but not limited to the likes, by the comparison unit 314, the signal generation unit 316 can be configured to generate the set of warning signals and transmit the set of warning signals to the mobile computing devices 104.
[0080] In an illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared cold parameters are found beyond the predefined limit ranges, where the cold parameters can include any or a combination of watery eyes, runny nose, shortness of breath, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, cough, and the likes. In another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the at least one of the cold parameters is found beyond the threshold value, where the threshold value can include a limit range of normal eye, twelve breathings per minute, 500mL per breathing, less than 3 sneezes in a row, and cough with phlegm, but not limited to the likes. When at least one of the cold parameters associated with the entity 106 is found not similar to the predefined cold parameters by the comparison unit 314, the signal generation unit 316 can be configured to generate the set of warning signals and transmit the set of warning signals to the mobile computing devices 104.
[0081] In an illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared breath is found beyond the predefined limit ranges. In another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared breathing pattern is found beyond the threshold value, where the threshold value can include the limit range of twelve breathings per minute, and 500mL per breathing, but not limited to the likes. When the breathing pattern associated with the entity 106 is found beyond twelve breathings per minute, but not limited to the likes, by the comparison unit 314, the signal generation unit 316 can be configured to generate the set of warning signals and transmit the set of warning signals to the mobile computing devices 104.
[0082] In an illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared eyes are found beyond the predefined limit ranges. In another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared eyes are found watery and show tears in the eye.
[0083] In an illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared eyes, nose of the entity 106 are found beyond the predefined limit ranges. In another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared eyes and nose are found watery.
[0084] In an illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared number of sneezes associated with the entity 106 is found beyond the predefined limit ranges. In another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the number of sneezes are found more than 3 in a row.
[0085] In an illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when the compared cough associated with the entity 106 is found beyond the predefined limit ranges. In another illustrative embodiment, the signal generation unit 316 can be configured to generate the set of warning signals, when phlegm is not found with the cough.
[0086] In an illustrative embodiment, the server 112 of the system 100 can include one or more processing unit, where the one or more processing unit can include one or more processors, where the one or more processors can be configured to receive the first set of signals, the second set of signals, and the third set of signals from the first set of sensors 202, the second set of sensors 204, and the third set of sensors 206 respectively, with help of the sub units like the extraction unit 312, the comparison unit 314, the signal generation unit 316, and the other unit(s) 318, and process the first set of signals, the second set of signals, and the third set of signals. The processing of the first set of signals, the second set of signals, and the third set of signals can include extraction, comparison, and signal generation. The server 114 or the one or more processors can be configured to create a training and testing dataset based on the received first set of signals, the second set of signals, and the third set of signals, and where the training and testing dataset created by the server 114 or the one or more processors can facilitate in predetermining health of the entities 106.
[0087] FIG. 4 illustrates an exemplary view of the proposed health monitoring and alerting system, in accordance with an embodiment of the present disclosure.
[0088] As illustrated in FIG. 4, the adhesive element 110 can be adhered to a body part of the entity 106, where the body part can be any or combination of throat, nose, neck, limbs, and the likes. The adhesive element 110 can include a first set of sensors 202 to detect the temperature of the entity 106, a second set of sensors 204 to detect the pulse of the entity 106, and a third set of sensors to detect movement associated with a body part of the entity 106, where the body part can be any or combination of throat, nose, neck, limbs, and the likes. The first set of sensors 202 generates a first set of signals, the second set of sensors 204 generates a second set of signals, and the third set of sensors 206 generate a third set of signals, where a processing unit 108 can be operative coupled with the with the first set of sensors 202, the second set of sensors 204, and the third set of sensors 206, where the processing unit can receive the first set of signals, the second set of signals, and the third set of signals.
[0089] The processing unit 108 extracts the body temperature of the entity 106 from the first set of signals, pulse rate from the second set of signals, and cold parameters from the third set of signals.
[0090] In an illustrative embodiment, the processing unit 108 can determine the variations of the extracted temperature, pulse rate, cold parameters and the likes with their pre-defined limit ranges, and classifies the warning signals into one or more categories healthy, low risk, high risk, and the likes, and where the alert unit 208 can be configured to generate a distinct sound for each category. In another illustrative embodiment, the alert unit 208 can be configured to generate a sound of distinct intensity for each category, where the intensity of sound can be low for low risk, and high for high risk, but not limited to the likes.
[0091] In an illustrative embodiment, the alert unit 208 can generate warning signals, where the warning signals can be transmitted to the one more mobile computing devices 104 coupled to a communication unit 102, where the warning signals can include the health status, aadhar number of the entity 106, but not limited to the likes, where the health status can be healthy, low risk, high risk, and the likes.
[0092] In an illustrative embodiment, the adhesive element 110 can be adhered to the body part of the skin, and the adhesive element 110 can be removed easily form the skin by the entity 106.
[0093] In an illustrative embodiment the adhesive element 110 can include an upper side and a lower side, where the lower side is oriented towards the skin of the entity 106. In another illustrative embodiment, the adhesive element 110 may be made of a pliable material, for example a flexible fabric or polymer membrane, where the lower side can include at least a tape, a layer of adhesive material and the likes, where the tape can be any or a combination of adhesive tape, sticky tape, breathable tape, non-woven tape and the likes.
[0094] In an illustrative embodiment, the adhesive element 110 can be adapted in the form of a bandage, patch and the likes.
[0095] In an embodiment the adhesive element 110 can include a processing unit 108, where the processing unit 108 can be operatively coupled with the communication unit 102 configured to communicatively couple the one or more mobile computing devices with the processing unit, and where the communication unit 102 can be a networking module like wireless network, a wired network or a combination thereof that can be implemented as one of the different types of networks, such as Intranet, Local Area Network (LAN), Wide Area Network (WAN), Internet, and the like. Further, the networking module can either be a dedicated network or a shared network. The shared network can represent an association of the different types of networks that can use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like.
[0096] In an embodiment, the one or more mobile computing devices 104-1, 104-2…104-N can receive the warning signals from the mobile computing device 104-1 associated with the entity 106-1, where the mobile computing devices 104 can be communicatively coupled with help of a communication module, where the communication module can include any or a combination of Bluetooth low energy (BLE), ZigBee, and the likes.
[0097] As used herein, and unless the context dictates otherwise, the term "coupled to" is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms "coupled to" and "coupled with" are used synonymously. Within the context of this document terms "coupled to" and "coupled with" are also used euphemistically to mean “communicatively coupled with” over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary device.
[0098] It should be apparent to those skilled in the art that many more modifications besides those already described are possible without departing from the inventive concepts herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims. Moreover, in interpreting both the specification and the claims, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, ` components, or steps that are not expressly referenced.
[0099] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE INVENTION
[00100] The present disclosure provides a system that facilitates in monitoring the various health parameters.
[00101] The present disclosure provides a system that facilitates in alerting the entities for symptoms like fever, cold, cough and the likes and helps in preventing spread of contagious diseases and other similar diseases.
[00102] The present disclosure provides a system that alerts nearby entities to prevent transmission of the viruses, bacteria, and other microorganism that causes contagious diseases.
[00103] The present disclosure provides a system that is user-friendly, highly scalable, affordable, and cost effective.
[00104] An object of the present disclosure is to provide a system that reduces the consumption of energy.

Claims:1. A health monitoring and alerting system comprising:
an adhesive element configured to be adhered to skin of an entity, the adhesive element comprising:
a first set of sensors configured to detect temperature of the entity, and correspondingly generate a first set of signals;
a second set of sensors configured to detect pulse of the entity, and correspondingly generate a second set of signals, and
a third set of sensors configured to detect movement associated with a body part of the entity, and correspondingly generate a third set of signals;
a processing unit operatively coupled with the first set of sensors, the second set of sensors, and the third set of sensors, wherein the processing unit comprises of one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to:
receive the first set of signals, the second set of signals, and the third set of signals;
extract temperature from the first set of signals, pulse rate from the second set of the signals, breathing, and cold parameters from the third set of signals;
compare the extracted temperature, pulse rate, breathing, and cold parameters with a dataset, wherein the dataset comprises predefined limits ranges of temperature, pulse rate, and cold parameters; and
generate a set of warning signals, when at least one of the temperature, pulse rate, cold parametersare beyond the respective predefined limit ranges.
2. The system as claimed in claim 1, wherein the adhesive element is adhered to the suprasternal notch of the entity, configured to detect the movement associated with a body part of the entity, and wherein the body part comprises any or combination of throat, nose, neck, and limbs.
3. The system as claimed in claim 1, wherein the first set of sensors comprises any or a combination of thermocouple, thermometer, and temperature sensor.
4. The system as claimed in claim 1, wherein the second set of sensors comprises any or a combination of pulse sensor, heart rate sensor, respiration sensor, and pulse oximeter.
5. The system as claimed in claim 1, wherein the third set of sensors comprises any or a combination of accelerometer, tri-axis accelerometer, and respiration sensor, and wherein the cold parameters comprises any or a combination of watery eyes, runny nose, shortness of breath, runny nose, shortness of breath, number of sneezes, chest pressure, sore throat, and cough.
6. The system as claimed in claim 1, wherein the system comprises one or more mobile computing devices communicatively coupled with the processing unit, configured to receive the set of warning signals from the processing unit, and wherein the one or more mobile computing devices comprise any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
7. The system as claimed in claim 1, wherein the system comprises a communication unit operatively coupled with the processing unit, configured to communicatively couple the one or more mobile computing devices with the processing unit, and wherein the communication unit comprises any or a combination of Wireless Fidelity (Wi-Fi) Module, Bluetooth Module, Li-Fi Module, optical fiber, Wireless Local Area Network (WLAN), and ZigBee.
8. The system as claimed in claim 1, wherein the system comprises an alert unit operatively coupled with the processing unit, wherein the alert unit gets activated upon receiving the set of warning signals by the processing unit, and wherein the alert unit comprises any or a combination of buzzer, alarm, and light emitting diode (LED).
9. The system as claimed in claim 8, wherein the processing unit determinevariations of the extracted temperature, pulse rate, and cold parameters with their pre-defined limit ranges, and classify the warning signals into one or more categories healthy, low risk, high risk, and wherein the alert unit generates a distinct sound for each category.
10. The system as claimed in claim 1, wherein the system comprises a power source configured to supply electric power to the first set of sensors, the second set of sensors, the third set of sensors and the processing unit, and wherein the power source comprises any or a combination of rechargeable battery, lithium (Li) ion cell, rechargeable cells, solar cell, solar battery, electrochemical cells, storage battery, and secondary cell.