The present disclosure relates generally to a health diagnosis device. More particularly, the present disclosure provides a health diagnosis and assisting system to be used in preliminary diagnostic procedures.
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] Throughout the human history, the mankind has experienced a number of pandemics of infectious diseases such as smallpox, tuberculosis, HIV/ADDS, SARS, COVID 19, and the likes, and killed thousands of people all over the world. These infectious diseases represent a significant threat to the society in spite of medical advancement over last centuries. Therefore, preventive measures are required to determine any risk in people health and take necessary action based on determined risk.
[0004] COVID-19 spreads mainly among people who are in close contact within about 6 feet for a prolonged period. The risk of exposure to a virus posed to uninfected people from an infected person either by direct contact or action such as sneezing, coughing, and the like or through contact of any surface touched by the infected person. Recent studies indicate that people who are infected by this virus but do not have symptoms also play a role in the spread of COVID-19. Therefore, the infected person should isolate himself to prevent spreading of the virus, but it is not possible, as they have to visit healthcare centers for testing and for medications also. Moreover, the regular visits to healthcare centers for regular checkups have become jeopardized due to risk of developing infection. Further, the healthcare centers are facing accommodation problems for treating patients with pre-existing diseases. With the increase in COVID-19 cases, the health care centers have been facing burden regarding management of patients and providing them necessary facilities. People avoid visiting hospitals due to risk of infectious

diseases. Therefore, it has become extremely important that health care facilities are accessible at home. With increased significance of social distancing, becoming self-reliant for regularly required medications in the patient preferred environment has become a necessity.
[0005] Hence, there is need in the art to develop a solution that can diagnose one or more diseases in a person at home and can recommend guidelines to be followed and medications required.
OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one
embodiment herein satisfies are as listed herein below.
[0007] An object of the present disclosure relates to a system for diagnosing
health at home.
[0008] Another object of the present disclosure is to provide a system that
facilitates in recommending treatment at home.
[0009] Another object of the present disclosure is to provide a system that
notifies the users automatically to take medications on time.
[0010] Another object of the present disclosure is to provide a system that
reduces the overall cost to visit health care centers.
[0011] Another object of the present disclosure is to provide a system that
reduces the chances of getting infected from transmission diseases while visiting
to health care centers.
[0012] Yet another object of the present disclosure is to provide a system that
is user-friendly.
SUMMARY
[0013] The present disclosure relates generally to a health diagnosis device. More particularly, the present disclosure provides a health diagnosis and assisting system to be used in preliminary diagnostic procedures.
[0014] An aspect of the present disclosure pertains to a system for diagnosing health of a subject, said system comprising a device adapted to be used by the

subject, the device may include a display unit configured to received input such as
one or more health attributes from the subject and correspondingly generate a first
set of signals, a set of acoustic sensors configured to record a plurality of cough
sounds of the subject, and correspondingly generate a second set of signals, and a
processing unit operatively coupled to the display unit and the set of acoustic
sensors.
[0015] In an aspect, the processing unit may include one or more processors
coupled with a memory, and the one or more processors configured to receive the
first set of signals, and the second set of signals, extract values of the one or more
health attributes and plurality of cough sounds from the received first set of
signals and the second set of signals respectively, compare extracted values of the
one or more health attributes and the plurality of cough sounds of the subj ect with
a dataset, where the dataset may comprise pre-stored threshold values of the one
or more health attributes and the plurality of cough sounds of the one or more
subjects, and transmit alert signals to the display unit and an audio unit to provide
information such as risk, precautions and medications associated to one or more
diseases, when value of any of the one or more health attributes and the plurality
of cough sounds found beyond the pre-stored threshold values.
[0016] In an aspect, the processing unit may be configured to schedule
medications associated with the one or more diseases, and reminds the subject to
take medications on time.
[0017] In an aspect, the processing unit may be configured to receive the one
or more health attributes and the plurality of cough sounds at a regular interval
over a period of time, analyse the received plurality of health attributes and the
plurality of cough sounds, and accordingly alert the subject.
[0018] In an aspect, the processing unit may transmit a first set of alert signals
to the display unit, and a second set of alert signals to an audio unit when value of
any of the at least one of the one or more health attributes and the plurality of
cough sounds found beyond the pre-stored threshold values.
[0019] In an aspect, the one or more health attributes may include any or a
combination of body temperature, oxygen level, heart rate, and blood pressure.

[0020] In an aspect, the one or more health attributes may be collected from
health monitoring devices such as thermometer, oximeter, heart rate monitor, and
blood pressure monitor.
[0021] In an aspect, the one or more diseases may comprise any or a
combination of diabetes, heart disease, lung disease, kidney problem, and
coronavirus.
[0022] In an aspect, the system may be configured to transmit vaccination
notifications to the display unit and the audio unit.
[0023] In an aspect, the audio unit may include any or a combination of
speaker, earphone, ear bud, headset, and the likes.
[0024] In an aspect, the system may include a power source operatively
coupled to the display unit, the set of acoustic sensors, the processing unit, and the
audio unit, where the power source may facilitates in providing electric power to
the system.
[0025] In an aspect, the power source may include any or a combination of
cell, battery, electric power line, inverter, capacitor bank, and inductor.
[0026] In an aspect, the present disclosure provides a method for diagnosing
health, the method includes receiving by a display unit, one or more health
attributes input by a subject, receiving, by a set of acoustic sensors a plurality of
cough sounds of the subject, extracting, at the one or more processors of a
processing unit, values of the one or more health attributes and the plurality of
cough sounds from the received input, comparing, at the one or more processors,
extracted values of the one or more health attributes and the plurality of cough
sounds of the subject with a dataset having pre-stored threshold values,
generating, at the one or more processors, alert signals pertain to information such
as risk, precautions and medications associated to one or more diseases, and
transmitting the generated alert signals to the display unit and the audio unit.
BRIEF DESCRIPTION OF THE 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.
[0028] The diagrams are for illustration only, which thus is not a limitation of
the present disclosure, and wherein:
[0029] FIG. 1 illustrates a block diagram of proposed system to health
diagnosis and assisting, in accordance with an embodiment of the present
disclosure.
[0030] FIG. 2 illustrates exemplary functional components of a processing
unit of the proposed system health diagnosis and assisting, in accordance with an
embodiment of the present disclosure.
[0031] FIG. 3 illustrates an exemplary flow chart of a method for health
diagnosis and assisting, in accordance with an embodiment of the
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] The present disclosure relates generally to a health diagnosis device. More particularly, the present disclosure provides a health diagnosis and assisting system to be used in preliminary diagnostic procedures.
[0034] In an embodiment, a system for providing a subject to diagnose health without any assistance. The system can assist in diagnosing one or more disease in the subject, and accordingly recommend suggestions, medications, and the likes. [0035] As illustrated in FIG. 1, the proposed system (100) for) for diagnosing health of a subject (also referred to as system (100), herein) can include a device (102) to receive input from the subject, and a processing unit (108) operatively coupled with the device (102). The device (102) can include a display unit (104) and a set of acoustic sensors (106), the display unit (104) can be configured to receive one or more health attributes from the subject, and the set of acoustic

sensors (106) can be configured to receive a plurality of cough sounds (also referred as cough sounds, hereinafter) from the subject.
[0036] In an exemplary embodiment, the subject can hold the device (102) or can place the device (102) in proximity to provide input to the system (100). [0037] In an exemplary embodiment, firstly, the subject is required to get register into the system (100) through the display unit (104). In another exemplary embodiment, in order to register the subject in the system (100), one or more attributes such as, but not limited to, name, age, sex, address, mobile number, and email are obtained through the display unit (104) and are stored in a database. In yet another exemplary embodiment, once the process of registration is completed, a corresponding identity (ID) can be generated against registration of each subject. [0038] In an embodiment, the display unit (104) can be configured with the device (102) to enable the subject to input one or more health attributes, and correspondingly generate a first set of signals which can be transmitted to the processing unit (108) in the electric form. The one or more health attributes can include any or a combination of body temperature, oxygen level, heart rate, blood pressure, and the likes. In another embodiment, the subject can collect the one or more health attributes from health monitoring devices such as thermometer, oximeter, heart rate monitor, blood pressure monitor, and the likes. [0039] In an exemplary embodiment, when a user is not feeling well, the user itself or any other family person can collect temperature value through a thermometer and oxygen level through an oximeter, and the collected temperature value and the oxygen level can be provided to the device (102) though the display unit (104). In another exemplary embodiment, the display unit (104) can include alpha-numeric keypad to control the device (102), where the one or more keys can include 0-9 numbers, back, ok, and the likes, which enables the user to enter values to the display unit (104). In yet another embodiment, the display unit can include any or a combination of light emitting diode (LED), liquid crystal display (LCD), organic light emitting diode (OLED), LED matrix, and the likes. [0040] In an exemplary embodiment, the display unit (104) can be in a form of user interface (104), where one or more labels such as can 0-9 numbers, back,

ok, and the likes, are provided, which enables the user to provide the one or more health attributes by touchscreen, where the one or more health attributes are collected through the associated health monitoring devices. [0041] In an embodiment, the set of acoustic sensors (106) can be configured with the device (102) to record the cough sounds of the subject, and correspondingly generate a second set of signals which can be transmitted to the processing unit (108) in the electric form. The set of acoustic sensors (106) can include sensors, mic, microphone, loudspeaker, and the likes, which enables the user to record the cough sounds.
[0042] In an embodiment, the processing unit (108) can be configured to receive the first set of signals from the display unit (104), the second set of signals from the set of acoustic sensors (106) in the electric form. In another embodiment, the processing unit (108) can be any or a combination of microprocessor, microcontroller, Arduino Uno, At mega 328, Raspberry Pi or other similar processing unit, and the likes. In yet another embodiment, the processing unit (108) can include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors. [0043] In an embodiment, the processing unit (108) can be configured to extract the values of the one or more health attributes from the received first set of signals and extract the cough sounds from the received second set of signals, and compare extracted values of the one or more health attributes and the cough sounds of the subject with a dataset. The dataset can include pre-stored threshold values of the one or more health attributes and the cough sounds of the one or more subjects. In another embodiment, when value of any of the one or more health attributes and the cough sounds found beyond the pre-stored threshold values, the processing unit (108) can generate and transmit alert signals to the display unit (104) and an audio unit (110). The alert signals pertain to information such as risk, precautions and medications associated to one or more diseases detected in the subject.
[0044] In an embodiment, the audio unit (110) can include any or a combination of speaker, earphone, ear bud, headset, and the likes.

[0045] In an exemplary embodiment, normal human body temperature range is in between 97 degree Fahrenheit to 99 degree Fahrenheit, when the user input temperature value 100.4 degree Fahrenheit in the device (102), the processing unit (108) can compare the received temperature value with pre-stored normal temperature range, and accordingly can suggest the user to take medicines such as ibuprofen, paracetamol, and other medicines already suggested by World Health Organizations (WHO) for fever. Similarly, when the user is having dry cough and fever, which are symptoms of coronavirus, the system (100) can suggest the user to take drugs prescribed by the WHO, and instructions to be followed such as isolation, diet, and the likes.
[0046] In an embodiment, the processing unit (108) can be configured to schedule medications associated with the one or more diseases, and reminds the subject to take medications on time. In an exemplary embodiment, upon receiving the one or more health attributes from the user, the system (100) analyzed that the user is having coronavirus at a lower stage, the system (100) can suggest the user to take medications suggested by WHO, the system (100) can alert the user to take medication on time, such as fever medicine is to be taken one after breakfast, and one after dinner, the system (100) can send an alert around 9 AM and around 8 PM to take fever medication, the alert can be transmitted to speaker (110) and the display unit (104).
[0047] In an embodiment, the system (100) can be configured to transmit vaccination notifications to the display unit (104) and the audio unit (110). In an exemplary embodiment, the system (100) can be connected to a server through a communication module such as wi-fi, which can facilitate in providing vaccination information in a state by transmitting an alert to the audio unit (110). In another exemplary embodiment, "Covishied" a vaccine for coronavirus is available in any of government and private centers or hospital in nearby area, the system can receive the availability of the vaccine from the server and alerts the user to book vaccination dose through associated platforms or directly visit centers or hospital for vaccination.

[0048] In an exemplary embodiment, when more than one vaccine doses are necessary to be taken, and the user received the first dose, the system (100) can keep record of date when first dose is taken, and accordingly can transmit alert to the user to get ready for second dose. In another exemplary embodiment, the user received first dose on 25th June 2021, and the second dose is to be taken after 84 days, the system (100) can transmit alert to the user before 84 days such as from 10th September to book second dose.
[0049] As illustrated in FIG. 2, the processing unit (108) can include one or more processor(s) (202). The one or more processor(s) (202) can be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) (202) can be configured to fetch and execute computer-readable instructions stored in a memory (204) of the processing unit (108). The memory (204) can store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory (204) can include any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0050] In an embodiment, the processing unit (108) can also include an interface(s) (206). The interface(s) (206) may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) (206) may facilitate communication of the processing unit (108) with various devices coupled to the processing unit (108). The interface(s) (206) may also provide a communication pathway for one or more components of the processing unit (108). Examples of such components include, but are not limited to, processing engine(s) (208) and database (210). [0051] In an embodiment, a processing engine(s) (208) can be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) (208). In examples described herein, such combinations of hardware and

programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may include a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) (208). In such examples, the 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) (208) may be implemented by electronic circuitry. A database (210) can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).
[0052] In an embodiment, the processing engine(s) (208) can include an extraction unit (212), a comparison unit (214), a classification and training unit (218), a signal generation unit (216), and other unit(s) (220). The other unit(s) (220) can implement functionalities that supplement applications or functions performed by the system (100) or the processing engine(s) (208). [0053] In an embodiment, the database (210) can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).
[0054] 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.
[0055] In an embodiment, the processing unit (108) can be configured to receive a first set of signals from a display unit (104), a second set of signals from a set of acoustic sensors (106) in electric form. In an embodiment, the set of acoustic sensors (106) can include any or a combination of mic, microphone,

sensors, and the likes. In an exemplary embodiment, the display unit can include any or a combination of light emitting diode (LED), liquid crystal display (LCD), organic light emitting diode (OLED), and LED matrix.
[0056] In an embodiment, the extraction unit (212) can be configured to receive the first set of signals and the second set of signals in electric form the display unit (104) and the set of acoustic sensors respectively, where the extraction unit (212) can be configured to extract a third set of signals from the first set of signals, and a fourth set of signals from the second set of signals in machine readable form or binary form, where the third set of signals pertain to value of one or more health attributes of the subject and the fourth set of signals pertain to the cough sounds of the subject. In another embodiment, the one or more health attributes can include any or a combination of body temperature, oxygen level, heart rate, blood pressure, and the likes.
[0057] In an embodiment, the extraction unit (212) can be configured to extract one or more characteristics from the received cough sounds, where the one or more cough sound characteristics can include but not limited to cough pattern, pattern severity, dry cough severity, and wet cough severity. In an exemplary embodiment, when the user is having fever and dry cough, there are chances that the user is suffering from respiratory disease such as coronavirus. [0058] In an embodiment, the comparison unit (214) can be configured to compare the extracted values of the one or more health attributes with pre-stored threshold values. In another embodiment, the signal generation unit (216) can be configured to transmit a first set of alert signals to the display unit (104) when the compared value of any of the one or more health attributes and the cough sounds found beyond the pre-stored threshold values, where the first set of alert signals can pertain information such as risk, precautions and medications associated to one or more diseases.
[0059] In an embodiment, the signal generation unit (216) can be configured to transmit a second set of alert signals to the audio unit (110) when the compared value of any of the one or more health attributes and the cough sounds found beyond the pre-stored threshold values, where the second set of alert signals can

pertain information such as risk, precautions and medications associated to one or more diseases.
[0060] In an exemplary embodiment, normal body temperature can be in range of 97 degree Fahrenheit to 99 degree Fahrenheit, similarly normal oxygen level range is in between 75 and 100 millimeters of mercury (mm Hg), which is determined by the WHO. When the display unit (104) received temperature value 100.4 degree Fahrenheit, oxygen level 65, and dry cough is detected by the set of acoustic sensors (106), the comparison unit (214) can determine disease such as coronavirus, flu and the likes, and accordingly can alert the user to take precautions such as isolation, mask, washing hands, and medications prescribed by WHO.
[0061] In an exemplary embodiment, when the system (100) found disease on low risk, the system (100) can alert the user to upload one or more test reports such as CT scans, and the likes, and can alert the user accordingly to take precautions and medications prescribed by WHO. In another exemplary embodiment, when the system (100) found disease on high risk, the system (100) can alert the user to take appointment with a doctor or to visit hospital. [0062] In an exemplary embodiment, the display unit (104) can display alerts such as "Covid Positive, "Take paracetamol", "Book vaccination", "Upload CT Scan reports", and the likes, and the audio unit (110) can produce sound to alert the user.
[0063] In an embodiment, the classification and training unit (218) can be configured to receive the extracted values of one or more health attributes, the cough sounds of the subject from the extraction unit (212) in machine readable form or binary form and update and train the classification and training unit (218) based on extracted values of one or more health attributes, the cough sounds. In an embodiment, the classification and training unit (218) can be trained and updated based on the received one or more health attributes and the cough sounds. In another embodiment, a deep leaning model can be trained based on the received one or more health attributes and the plurality of cough sound, where the deep leaning model can be stored in the database (210). In yet another embodiment,

once the dataset is trained correctly, a deep learning algorithm can be configured to perform repetitive, and routine tasks within a shorter period of time. [0064] In an embodiment, the classification and training unit (218) can be configured to store the plurality of subjects health attributes recorded over a period of time such as for week, month etc., for trend analysis and prediction of future health risk. Also, the classification and training unit (218) can be configured to store a set of training datasets to train a machine learning model for determining cough severity for the received cough sounds based on the training. The plurality of training datasets can include historical information related to cough sounds, cough pattern, pattern severity, dry cough, wet cough and the likes of a group of healthy people and a group of people suffering from one or more diseases.
[0065] In an exemplary embodiment, the processing engine (208) can be further configured in the form of an Artificial Neural Network like the following but not limited to Convolutional Neural Network (CNN) and Deep Neural Network (DNN). In an exemplary embodiment, the processing engine (208) can include deep learning based classifiers, where the deep learning based classifiers can include KNN classifiers, MLP neural networks and the likes. [0066] In an embodiment, the signal generation unit (216) can be configured to transmit the set of alert signals to the display unit (104) and the audio unit (110) to schedule medications associated with the one or more diseases, and can remind the subject to take medications on time. In an exemplary embodiment, when the user is found covid positive, the user can be alerted to take a dose of fever and cough in the morning, and another dose in evening.
[0067] In an embodiment, the signal generation unit (216) can be configured to transmit a set of alert signals on regular interval to receive the one or more health attributes and the cough sounds again. Upon receiving the one or more health attributes and the cough sounds, the extraction unit (212) can extract values, and the comparison unit (214) can compare the values with the pre-stored threshold values to determine the one or more disease again. In an exemplary embodiment, when health of user is improving, number of medications can be

minimized, and new precautions, diet, and the likes can be suggested, in case symptoms are getting worsen, the user can be suggested to upload one or more test reports, and new prescriptions, medications can be provided by the system (100), and after changing medications if health is not improving, the system (00) can suggest the user to visit hospital immediately.
[0068] In an embodiment, the signal generation unit (216) can be configured to transmit the set of alert signals to the display unit (104) and the audio unit (110) to provide vaccination notifications to the subject. In an exemplary embodiment, when vaccine is available in a state or nearby area, the user can be alerted to book a slot for vaccination or directly visit the vaccination center, also the system (100) can alert the user when first dose is taken, but second is pending, the system (100) can transmit the alert to remind the user to book slot for next vaccination, when date of second vaccination is near such as ten days before.
[0069] In an embodiment, the system (100) can include a power source operatively coupled with the device (102), where the power source can facilitate in providing electric power to the display unit (104), the set of acoustic sensors (106), and the processing unit (108). In another embodiment, the power source can include any or a combination of cell, battery, electric power line, inverter, capacitor bank, inductor, and the likes.
[0070] Referring to FIG. 3, a method (300) can be implemented using a computing device, which can include one or more processors. At block (302), the computing device can receive a plurality of health attributes input by a subject through a display unit (104), where the one or more health attributes are collected from health monitoring devices such as thermometer, oximeter, heart rate monitor, and blood pressure monitor.
[0071] At block (304), the computing device can receive a plurality of cough sounds of the subject from a set of acoustic sensors (106).
[0072] At block (306), the computing device can extract values of the one or more health attributes and the plurality of cough sounds from the received input.

[0073] At block (308) the computing device can compare the extracted values of the one or more health attributes and the plurality of cough sounds of the subject with a dataset having pre-stored threshold value,
[0074] At block (310) the computing device can generate alert signals pertain to information such as risk, precautions and medications associated to one or more diseases, and the generated alert signals can be transmitted to the display unit (104) and the audio unit (110) to alert the subject.
[0075] In an exemplary embodiment, the system (100) can assist a user to get treatment of low risk disease at home without visiting a hospital, which saves the money also. Also, the system (100) can suggest the user to take necessary precautions, diet, and medications, prescribed by the WHO, and alert the user to take medications on time.
[0076] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE PRESENT DISCLOSURE
[0077] The present disclosure provides a system for diagnosing health at
home.
[0078] The present disclosure provides a system that facilitates in
recommending treatment at home.
[0079] The present disclosure provides a system that notifies the users
automatically to take medications on time.
[0080] The present disclosure provides a system that reduces the overall cost
to visit health care centers.

[0081] The present disclosure provides a system that reduces the chances of getting infected from transmission diseases while visiting to health care centers. [0082] The present disclosure provides a system that is user-friendly.

We Claim:

1. A system (100) for diagnosing health of a subject, said system (100) comprising:
a device (102) adapted to be used by the subject, the device (102) comprising:
a display unit (104) configured to received input such as one or more health attributes from the subject, and correspondingly generate a first set of signals; and
a set of acoustic sensors (106) configured to record a plurality of cough sounds of the subject, and correspondingly generate a second set of signals;
a processing unit (108) operatively coupled to the display unit (104) and the set of acoustic sensors (106), wherein the processing unit (108) including one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors configured to:
receive the first set of signals, and the second set of signals as input from the device (102) of the system (100);
extract values of the one or more health attributes and plurality of cough sounds from the received first set of signals and the second set of signals respectively;
compare extracted values of the one or more health attributes and the plurality of cough sounds of the subject with a dataset, wherein the dataset comprises pre-stored threshold values of the one or more health attributes and the plurality of cough sounds of the one or more subjects; and
transmit alert signals to the display unit (104) and an audio unit (110) to provide information such as risk, precautions and medications associated to one or more diseases, when value of any

of the one or more health attributes and the plurality of cough
sounds found beyond the pre-stored threshold values; and
the processing unit (108) further configured to schedule
medications associated with the one or more diseases, and reminds the
subject to take medications timely.
2. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to receive the one or more health attributes and the plurality of cough sounds at a regular interval over a period of time, analyse the received plurality of health attributes and the plurality of cough sounds, and accordingly alert the subject.
3. The system (100) as claimed in claim 1, wherein the processing unit (108) transmit a first set of alert signals to the display unit (104), and a second set of alert signals to an audio unit (110) when value of any of the at least one of the one or more health attributes and the plurality of cough sounds found beyond the pre-stored threshold values.
4. The system (100) as claimed in claim 1, wherein the one or more health
attributes comprise any or a combination of body temperature, oxygen
level, heart rate, and blood pressure.
5. The system (100) as claimed in claim 1, wherein the one or more health attributes are collected from health monitoring devices such as thermometer, oximeter, heart rate monitor, and blood pressure monitor.
6. The system (100) as claimed in claim 1, wherein the one or more diseases comprise any or a combination of diabetes, heart disease, lung disease, kidney problem, and coronavirus.
7. The system (100) as claimed in claim 1, wherein the system (100) is configured to transmit vaccination notifications to the display unit (104) and the audio unit (110).
8. The system (100) as claimed in claim 1, wherein the audio unit (110) can include any or a combination of speaker, earphone, ear bud, headset, and the likes.

9. The system (100) as claimed in claim 1, wherein the system (100) includes a power source operatively coupled to the display unit (104), the set of acoustic sensors (106), the processing unit (108), and the audio unit (110), wherein the power source facilitates in providing electric power to the system (100), and wherein the power source includes any or a combination of cell, battery, electric power line, inverter, capacitor bank, and inductor.
10. A method for diagnosing health, comprising steps of:
receiving (302), by a display unit (104), one or more health
attributes input by a subj ect;
receiving (304), by a set of acoustic sensors (106) a plurality of
cough sounds of the subject;
extracting (306), at the one or more processors of a processing unit
(108), values of the one or more health attributes and the plurality
of cough sounds from the received input;
comparing (308), at the one or more processors, extracted values of
the one or more health attributes and the plurality of cough sounds
of the subject with a dataset having pre-stored threshold values;
generating (310), at the one or more processors, alert signals
pertain to information such as risk, precautions and medications
associated to one or more diseases, and transmitting the generated
alert signals to the display unit (104) and the audio unit (110).