AU2021104019A4 - A system to detect stress and its impact on the development of obesity and type 2 diabetes. - Google Patents

Abstract

: A system to detect stress and its impact on the development of obesity and type 2 diabetes. The invention describes a system capable of sensing the stress level, along with identifying the triggers caused by it including the behavioral changes, sleep pattern changes, overeating, insulin hikes and others which will be notified to the user constantly to control the stress and overexertion to control the possibility of obesity or occurrence of type-2 diabetes. The system consists of various sensors, trackers, electrodes, a non-invasive mechanism to identify health parameters from varied parts of the body. The sensors and other components are attached to headbands, wrist/armbands, feet bands, chest plugs, and other types of apparatus which communicates with each other and send the data to the processing system which analysis all the data received throughout the day or in real-time to identify the level of stress. It notifies the user when the stress level seems abnormal and to perform relaxing activities to calm oneself. Signatory Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin Page l of 5 APPLICANT Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Shama Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma sTARTupC*TEWM#AL Shahbaz Rathor Ajazuddin SAR MEASRtG PULSE RATE F Ajzud TEwukAP.E SR AND wPAcc ON RECNZE POSTURE AND ACTION F" ACCELERATION NO -CHANE IN PUtSE RATE BO0 TEMPERA'URE IGSR ?OSTURE ACTION VOICEE YES ACOQUIRE CUREN SxHEuE AA COLL.ATE POSTURE / ACTION kEH S CWD(Al INCLUDING SPEECH4 DtAOGUE) BASED 00 MEASUREC DATA AC'0N, AND SCHEUED EASUR EDEGRE OF STRESS FOR CHAOE IN PUL$E RATE, M00 TEMPERATURE, OR GSR I COARESPONDOENC WITH LIFE BEHAVOT AD SITUATION Figure- 1 FlowchartformeaUTsringhsclprmtrsodnfsrs INFORMATION ANLZE V0CElONGUE STRUCTURE IN [ ACCORDANCE WITH USER'S SITUATION ACUIE DGE Of STMESS AND SUBJECTIVE INFORMATION OF USER BY SPEECK ANAJZE VOICE FREOUENCY AND MEASURE DEGREE OF STFISS SUPPLEMENT AND CORWCT DEFICEN DATA AND RECORD SUBJECTIVE iffRATIM -- OF ER SERtC ACCORDING TO STATION Figure - 1: Flow chart for measuring physical parameters to identify stress Signatory Kartik Nakhate Hemant Badwaik6U Kushagra Nagori - Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin i ?

Description

Page l of 5

APPLICANT Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Shama Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma sTARTupC*TEWM#AL Shahbaz Rathor AjazuddinAjzud SAR MEASRtG PULSE RATE F TEwukAP.E SR AND wPAcc ON

RECNZE POSTURE AND ACTION F" ACCELERATION

NO -CHANE IN PUtSE RATE BO0 TEMPERA'URE IGSR ?OSTURE ACTION VOICEE YES ACOQUIRE CUREN SxHEuE AA

COLL.ATE POSTURE / ACTIONkEH S CWD(Al

INCLUDING SPEECH4 DtAOGUE) BASED 00 MEASUREC DATA AC'0N, AND SCHEUED

EASUR EDEGRE OF STRESS FOR CHAOE IN PUL$E RATE, M00 TEMPERATURE, OR GSR ICOARESPONDOENC WITH LIFE BEHAVOT AD SITUATION

INFORMATION ANLZE V0CElONGUE STRUCTURE IN

[ ACCORDANCE WITH USER'S SITUATION

ACUIE DGE Of STMESS AND SUBJECTIVE INFORMATION OF USER BY SPEECK

ANAJZE VOICE FREOUENCY AND MEASURE DEGREE OF STFISS Figure- 1 FlowchartformeaUTsringhsclprmtrsodnfsrs SUPPLEMENT AND CORWCT DEFICEN DATA AND RECORD SUBJECTIVE iffRATIM --

OF ER SERtC ACCORDING TO STATION

Figure - 1: Flow chart for measuring physical parameters to identify stress Signatory Kartik Nakhate Hemant Badwaik6U Kushagra Nagori -

Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin i ?

TITLE A system to detect stress and its impact on the development of obesity and type 2 diabetes.

FIELD OF INVENTION

[0001] This invention relates to the field of pharmaceutical science and electronics engineering more particularly a body analysis system capable of identifying stress and its effects that influences the risk of obesity and type-2 diabetes in people who are constantly stressed.

[0002] Here the system is capable of sensing the stress level, along with identifying the triggers caused by it including the behavioural changes, sleep pattern changes, overeating, insulin hikes and others which will be notified to the user constantly to control the stress and the overexertion to control the possibility of obesity or occurrence of type-2 diabetes. In case the user is already diabetic, care is taken that the glucose level is in check to avoid the side effects caused by the stress.

PRIOR ART AND PROBLEM TO BE SOLVED

[0003] Research has shown that a large number of the top health problems in society are either caused in whole or in part by an unhealthy lifestyle. More and more, our society requires people to lead fast-paced, achievement-oriented lifestyles that often result in poor eating habits, high stress levels, lack of exercise, poor sleep habits and the inability to find the time to centre the mind and relax. Additionally, obesity and body weight has become epidemic problems facing a large segment of the population, notably including children and adolescents.

[0004] Stress is a normal part of life that can either help us learn and grow or can cause us significant problems. If we don't take action, the stress responses can create or worsen health problems. Psychosocial work stress has been linked to a higher risk of type 2 diabetes (T2DM), with the effect being consistently higher among women than men. Also, work stress has been linked to prospective weight gain among obese men but weight loss among lean men. Being overweight stresses the insides of individual cells. Specifically, overeating stresses the membranous network inside of cells called the endoplasmic reticulum (ER). When the ER has more nutrients to process than it can handle, it sends out an alarm signal telling the cell to dampen down the insulin receptors on the cell surface. This translates to insulin resistance and to persistently high concentrations of the sugar glucose in the blood -- one of the sure signs of diabetes. So, it is necessary to control, manage and monitor the stress, body weight and possible sugar level in the body.

[0005] There are several techniques used to measure stress levels, such as arterial blood pressure or inflatable cuffs, but they are often invasive, cumbersome, and inaccurate. Although, the measurements of cardiac activity are relatively non invasive and reliable. Heart rate monitors are known to readily detect heart rate from various points in the body through the use of a pulse oximeter. Software applications exist for tracking user movements, monitoring user heart rates, and providing feedback to users regarding their heart rates. However, there do not appear to be any systems, methods, or applications for detecting and identifying the stress levels of an individual by measuring the individual's heart rate variability.

[0006] To resolve the above problem here a system is a design that has been equipped with multiple sensors capable of identifying the body parameters to identify the level of stress being experienced by the person using the same. The system is designed to track the stress level in the user along with analysing the body fat, body weight and programmed to identify the possibility of type -2 diabetes along with managing and controlling diabetes in case the user is already diabetes to avoid organ damage. It measures the brain waves to analyse the stress level and triggers which can cause stress and change in behaviours. It analysis the daily data and check the probability of a possible hike in body glucose level non-invasively. It tracks the day to day activity in addition to monitoring the speech to identify if the user is stressed, depressed angry to activate the brain waves detecting sensors to measure the stress level. This device helps to reduce fatalities caused due to stress in addition to helping in controlling the body glucose level in the body.

THE OBJECTIVES OF THE INVENTION:

[0007] In recent years, stress levels have been increasing for American adults, and many people report that they do not manage or reduce stress well. Stress can be caused by a difficulty to effectively multi-task concerning activities such as work, exercise, nutritional intake, travel, and social engagements. Systems and methods for lowering stress and improving individuals' lifestyles are desirable.

[0008] It has already been proposed where intelligent wristwatches have been proposed that can monitor and display a user's physical activity through sensors such as a pedometer, an elevation detector, or a heart rate monitor. However, these technologies are not necessarily used to lower an individual's stress level or make meaningful recommendations to the user regarding future activities or lifestyle choices. Further, these technologies are limited in the information that they can provide to a user and do not provide an integrated life management solution allowing a user to better manage and improve multiple aspects of his lifestyle, including health, social, stress, schedule, organization, productivity, and overall well being. Additionally, health monitoring systems are generally user-centric, in the sense, they do not allow third-parties to analyze a user's physical activity, social activity, and biotelemetric data to suggest and/or schedule actions that are beneficial to a user's health.

[0009] The principal objective of the invention is a system with multiple components to track the stress level in the user along with analysis the body fat, body weight and can indicate the possibility of type -2 diabetes along with managing and controlling diabetes in case the user is already diabetes to avoid organ damage.

[0010] Another objective of the invention is that it has multiple wearable devices including wireless head plugs, headbands, masks, smell sensors, fat detection sensors, to perform the analysis of stress levels in the user in addition to identifying the behavioural change including overeating, screaming, depriving oneself of sleep and other factors which can lead to fatal health issues like obesity, diabetes, heart attacks and others.

[0011] The further objective of the invention is that it has sensor electrodes to measure the brain waves to analyse the stress level and triggers which can cause stress and change in behaviours including overeating, getting angry, insomnia and others.

[0012] The further objective of the invention is that it is capable of tracking the daily routine, fitness tracking body fat index that is compared with the stress level identified, to perform predictive analysis on the daily data and check the probability of a possible hike in body glucose level. It has sensors that can be inserted into the shoe sole to track the regular exercise routine and the weight of the user.

[0013] The further objective of the invention is that it has a mechanism to detect the unusual smell of the mouth breathing that can be an easy indicator of the body burning fat instead of glucose if there is too little insulin in the blood, or if insulin resistance is too high Ketones. These can be clear markers of kidney/liver disorder or type-2 diabetes.

[0014] The further objective of the invention is that one of its components has been equipped with microphones to sense the tone of speech to identify if the user is stressed, depressed angry to activate the brain waves detecting sensors to measure the stress level. This activation method helps to reduce power consumption or to save battery life during the working of the system as it activated only if the tone of speech seems inappropriate.

[0015] The further objective of the invention is that it is capable to track the sleep pattern as disturbed sleep or sleep apnea can cause stress and overweight, increasing the possibility of diabetes. It parallels identifies the body glucose level non-invasively to recognize the possibility of type -2 diabetes.

[0016] The further objective of the invention is that it is used to control the body weight by identifying the waistline as the sensors can be attached to the belly which can virtually measure the waist size and the proportional increase in the same.

SUMMARY OF THE INVENTION

[0017] As society becomes complex, the stress in daily life is said to be one factor of various problems of the modem society because stress adversely affects the health of people by, e.g., causing lifestyle-related diseases such as heart diseases or mental diseases such as depression, and also triggers crimes. Usually, when the adaptive reaction exceeds human limitations, various diseases or mental disorders are said to occur. Alternatively, these disorders occur presumably when the sympathetic nerve and the parasympathetic nerve become unbalanced due to a change in the rhythm of life. Since a person experiences stress in a variety of situations in daily life, the vital information to be measured largely changes depending on external situations such as the peripheral environment and the position of the person as well as internal situations such as action and mental condition. For this reason, it is difficult to accurately grasp a user's stress state unless the vital information is analyzed and determined in association with the user's behaviour. To make the user realize stress, he/she must be notified when or immediately after stress builds up. Otherwise, the user cannot be aware of stress, and the person will soon be a slave to obesity or worse, can get diabetic.

[0018] So to get real-time tracking of the stress level and other parameters which can be used to identify the lifestyle and possible health issues here a system is designed with various components that are capable of analysing various health parameters.

It is capable of sensing the stress level, along with identifying the triggers caused by it including the behavioural changes, sleep pattern changes, overeating, insulin hikes and others which will be notified to the user constantly to control the stress and overexertion to control the possibility of obesity or occurrence of type-2 diabetes. Various components are designed including headbands, masks, hand bands, foot bands, chest plugs, waist plugs, feet sensors to modifying the required parameter based on the analysis of all the data received using the varied sensors throughout the day.

DETAILED DESCRIPTION OF THE INVENTION

[0019] While the present invention is described herein by way of example, using various embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiment of drawing or drawings described nor designed to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated with specific figures, for ease of illustration, and such omissions do not limit the embodiment outlined in any way. The drawings and detailed description of it are not intended to restrict the invention to the form disclosed, but on the contrary, the invention covers all modifications, equivalents, and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this specification, the word "may" be used in a permissive sense, rather than the mandatory sense.

[0020] Further, the words "an" or "a" mean "at least one" and the word "plurality" means one or more unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising,"

"having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents and any additional subject matter not recited, and is not supposed to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents acts, materials, devices, articles and the like are included in the specification solely to provide a context for the present invention.

[0021] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is also understood that it contemplates the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group comprising", "including", or "is" preceding the recitation of the element or group of elements and vice versa.

[0022] Before explaining at least one embodiment of the invention in detail, it is to be understood that the present invention is not limited in its application to the details outlined in the following description or exemplified by the examples. The invention is capable of other embodiments or of being practised or carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein is for description and should not be regarded as limiting.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention belongs. Besides, the descriptions, materials, methods, and examples are illustrative only and not intended to be limiting. Methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention.

[0024] The present invention consists of a system capable of sensing the stress level, along with identifying the triggers caused by it including the behavioural changes, sleep pattern changes, overeating, insulin hikes and others which will be notified to the user constantly to control the stress and the overexertion to control the possibility of obesity or occurrence of type-2 diabetes.

[0025] The system consists of various sensors, trackers, electrodes, a non-invasive mechanism to identify health parameters from varied parts of the body. The sensors and other components are attached to headbands, wrist/armbands, feet bands, chest plugs, and other types of apparatus which communicates with each other and send the data to the processing system which analysis all the data received throughout the day or in real-time to identify the level of stress.

[0026] The wearable type life support apparatus has a main module, sensor modules, an acceleration sensor module, a display, a wristwatch type display, a headset, and a handphone.

[0027] Of these components, the main module is a compact and lightweight computer such as a wearable computer, which has the function of analyzing collected vital information to grasp the degree of stress and providing various kinds of supports following the degree of stress. The main module also has functions of processing collected data, sending the processed data to the database of a centre, executing desired processing using information obtained from the database, and transmitting/receiving information or control command to/from the headset, display, or handphone.

[0028] The main module is formed from memory and CPU. Application programs and control programs for implementing the above-described functions and an OS (Operating System) as the basic software of the computer are stored in the memory. The CPU executes these programs to realize various desired processing operations. The main module also has a calendar/timepiece function such that collected or processed information can be managed with a time stamp. The main module can store data to be handled in the system, systematically manage the entire system, execute data communication between the modules, and communicate with a home server and management server.

[0029] The sensor modules collect and transmit vital signals and are connected to vital signal detection sensors such as a pulse sensor for detecting pulses of a human body, a Thermo sensor for detecting the body temperature of the human body, and a GSR (Galvanic Skin Reflex) electrode for detecting the skin resistance of the human body. Each sensor module comprises a preprocessor that amplifies and preprocesses the detection signal from each sensor, an A/D converter that converts the sensor detection signal preprocessed by the preprocessor into digital data, a CPU that executes various control operations and data processing, and a memory. Each sensor module also incorporates a Bluetooth chip to execute data communication with the main module.

[0030] The structures from the sensors modules are divided for the respective sensors. However, the structures for the respective sensors may be integrated into a single sensor module. Processing operations in each sensor and module may be integrated. The pulse sensor, thermosensor, GSR electrode, and acceleration sensor are set on the user, and then, the system is activated to start the analysing operation.

[0031] When the sensors are set and activated, they start to detect a vital signal. As a result, a pulse rate detection signal by the pulse sensor, a temperature detection signal by the thermosensor, a galvanic skin reflex detection signal by the GSR electrode, and an acceleration measurement signal by the acceleration sensor is obtained. The measurements are done continuously, periodically (every minute, every 10 minutes, or the like), or following a measurement instruction from the main module or a user's instruction.

[0032] The main module processes the measurement data by a preset logic, thereby determining the user's situation. First, the main module recognizes the action (behaviour) or posture of the user based on acceleration information obtained from the acceleration sensor. The acceleration information is obtained by attaching, a three-dimensional acceleration sensor to a predetermined portion of the human body as the acceleration sensor, thereby measuring the posture and action. The three-dimensional acceleration sensor is attached to, the waist to measure the motion of the body centre (trunk) portion. The action (walking, running, bicycle, car, train, or the like) can be identified using the sensors. The accelerator sensor can also be attached to the leg band to identify motions.

[0033] The pulse rate is obtained by the pulse sensor. The pulse sensor detects a pulse by photoelectrically sensing a change in the bloodstream through peripheral blood vessels in, e.g., a finger, wrist, or ear as a part to be measured. A portion where blood vessels concentrate is irradiated with light using, as a light source, an incandescent lamp or LED (Light Emitting Diode) capable of emitting light having an absorption wavelength of haemoglobin contained in blood in a large quantity. The transmitted or reflected light is received by a photodiode as a photoelectric element, photoelectrically converted, and measured. A potential waveform on which the influence of light absorption by haemoglobin that flows in the bloodstream is obtained as a detection signal from the component, e.g., photodiode of the pulse sensor. The main module analyzes the peak interval or frequency of the potential waveform of the received pulse data and calculates the pulse rate from the peak frequency. The analysis and calculation are done by the CPU. The pulse sensor can have the shape of an earring, ring, or wristwatch, and any shape can be employed. Alternatively, the pulse sensor may be incorporated into the headset

[0034] The LEDs for two wavelengths, that is, absorption wavelength of oxyhemoglobin and that of reduced haemoglobin are used to irradiate blood vessels with light, and the reflected light is measured, the oxygen saturation in the artery can be calculated

[0035] In addition, when blood vessels are irradiated with light from an LED having an absorption wavelength of glucose, the blood sugar value can be measured using the reflected light. This provides a non-invasive way to detect the blood glucose level concerning the daily activities in real-time. Here the heartbeat rate may be calculated using an electrocardiogram based on the peak interval or peak frequency obtained from frequency analysis. The wearable device for non-invasive glucose monitoring can comprise: an attachment member which spans at least a portion of the circumference of a person's arm; an enclosure that is part of and/or attached to the attachment member; a first spectroscopic sensor in the enclosure which projects a beam of light onto the arm surface at a first angle relative to the enclosure; and a second spectroscopic sensor in the enclosure which projects a beam of light onto the arm surface at a second angle relative to the enclosure, wherein the first angle differs from the second angle by at least 10 degrees. Data from the spectroscopic sensors can be analyzed to measure a person's glucose levels.

[0036] The mechanism for non-invasive glucose monitoring can comprise: a circumferentially-undulating attachment member which spans at least a portion of the circumference of a person's arm; and a plurality of biometric sensors which collect data concerning arm tissue, wherein each biometric sensor is located at the proximal portion of undulation, and wherein the proximal portion of undulation is the portion of an undulating wave which is closest to the circumferential centre of the device. Data from one or more sensors can be analyzed to measure a person's glucose levels.

[0037] The CPU of the main module estimates the situation or life behaviour based on the measurement data, action, and schedule. The CPU of the main module measures the degree of stress from changes in pulse rate, body temperature, and GSR corresponding to the life behaviour and situation.

[0038] In the main module, the standard range of each vital information is held in the memory as a parameter in correspondence with each behaviour information, and each vital information is compared with the standard range. When the information to be measured falls within the standard range, the value is determined to be normal. When the information falls outside the standard range, the value is determined to be abnormal. Each parameter may be automatically set based on data in a normal state. Alternatively, the pattern (waveform) of a change in vital information for a certain behaviour is stored, a correlation coefficient concerning the pattern is acquired, and abnormality is determined when the correlation coefficient is equal to or smaller than a set value. When the value deviates from the normal value, it can be determined that the degree of stress becomes higher than that in the normal state due to, e.g., disturbance. With this processing, whether the degree of stress is normal or abnormal can be detected for each behaviour.

[0039] In addition, the degree of stress may be detected by continuously analyzing the frequency component of the user's voice. As a characteristic feature of a human voice, the characteristic feature of the degree of stress appears in the frequency component and time-axis component of voice so that, for example, the frequency of the generated voice becomes higher than usual. Based on this fact, the degree of stress can be detected by continuously analyzing the frequency component of the user's voice during the dialogue. Hence, when the degree of stress s is measured by voice frequency analysis, the degree of stress can be more accurately measured.

[0040] Stress can be triggered due to external factors including smell or the presence of another person or being in a place of chaos. So here the sensors, based on the fluctuating pulse rate it capture the intensity and kind of pearl smell using an odour sensor and converted it into a degree of stress. When the degree of stress is more than a predetermined threshold value, and it is determined that the user is stressed, the data of the degree of stress is transmitted to the user and is unstructured to do some activity of interest to calm the stress including listening to some music, taking a walk, or to simply take deep breaths.

[0041] Stress management techniques may work by measuring the activities/arousal of the autonomic nervous system (ANS), where high arousal is considered a sign of stress. For example, the arousal of ANS leads to changes in physiology that may be easily measured via changes in heart rate, skin conductance, blood pressure, respiration, brain wave patterns via electroencephalography (EEG), other relevant metrics, or any combination thereof. Stress management techniques that work by measuring the activities/arousal of ANS, where high arousal is considered a sign of stress, tend to focus on the parasympathetic nervous system (PSNS) rather than the sympathetic nervous system (SNS). However, this may be problematic because an increase in the PSNS may not necessarily imply a decrease in the SNS, and thus, analysis of the SNS may be as useful as the analysis of the PSNS.

[0042] Using multiple types of sensors or biomarkers including data regarding the nature of the blood flow from PPG, or ECG features, galvanic skin response (GSR) measurements, EEG characteristics, blood pressure such as pulse wave transit time (PWTT) information about ANS can be obtained. So by determining a heart-rate variability (HRV) characteristic as a ratio involving the number of autonomic nervous system (ANS) activity markers within a first portion of the set of measurement data and the number of ANS activity markers within a second portion of the set of measurement data, the stress level of the user based on the HRV characteristic is determined which is notified to the user and asked to calm oneself to avoid the side effects of stress which involves behavioural changed including overeating, anger and others.

[0043] The other parameters, any of which can be assessed either alone or in combination, include visceral fat content, subcutaneous fat content, body mass index, weight, or blood pressure which is elevated due to stress. As noted, the subject may be overweight or obese or may have metabolic syndrome or an obesity-related condition or be prone to a possible condition due to his current behaviour and lifestyle. Due to the stress the user is also prone to or is at risk of developing, an obesity-related medical condition, the condition can be type 2 diabetes, cardiovascular disease (as evidenced, for example, by atherosclerosis), hypertension, arthritis (e.g., osteoarthritis or rheumatoid arthritis), cancer (e.g., breast cancer, a cancer of the oesophagus or gastrointestinal tract (e.g., stomach cancer or colorectal cancer), endometrial cancer, or renal cell cancer), carpal tunnel syndrome, chronic venous insufficiency, daytime sleepiness, deep vein thrombosis, end-stage renal disease, gallbladder disease, gout, liver disease, pancreatitis, sleep apnea, or urinary stress incontinence. The subject may also be a person who has had, or who is at risk of having a cerebrovascular accident. Because these conditions are recognized as obesity-related medical conditions, a person who is overweight, and particularly grossly overweight or obese is, by that fact alone, at risk of developing one or more of these conditions.

[0044] This system has a method of treating a healthy person (e.g., patients who are not overweight, obese, diabetic or suffering from a metabolic syndrome or an obesity related medical condition) to reduce the risk that they will develop a condition described herein, to delay its onset, or to impede its progress. Thus, "altering" a subject's metabolic state can be achieved by maintaining the subject's metabolic state or changing the expected progression as well as by improving one or more of the physiological parameters described herein. For example, patients who begin taking a steroid for treatment of other conditions often experience weight gain. The present methods can be applied to alter such a subject's metabolic state so that a given patient is less likely to gain weight or to gain less weight than expected. "Treating" a patient with the present methods encompasses improving their prognosis or expected outcome.

[0045] To treat the same the system is equipped with a facility to apply physical stimuli to the user. The methods can be carried out, for example, to affect overt manifestations of the metabolic state (e.g., to suppress weight gain, obesity and defined conditions such as diabetes), and they may also affect underlying physiological events (e.g., the suppression of free fatty acids and triglycerides in adipose, muscle and liver tissue or the maintenance of "healthy" levels of such agents). The physical stimuli delivered to a subject (e.g., a human), can be, for example, vibrations, magnetic fields, and ultrasound. The stimuli can be generated with appropriate means known in the art. For example, vibrations can be generated by the transducer(s) (e.g., actuator(s), e.g., electromagnetic actuator(s)), the magnetic field can be generated with Helmholtz coil(s), and ultrasound can be generated with piezoelectric transducer(s). The physical stimuli, if introduced as mechanical signals (e.g., vibrations), can have a magnitude of at least or about 0.01-10.0 g. The frequency of the mechanical signal can be at least or about 5-1,000 Hz. The mechanical signals can be provided periodically (e.g., weekly or daily). Providing low-magnitude, high-frequency mechanical signals can be done using a vibration generating apparatus that can be placed into the shoe of the user. Electromagnetic field signals can be generated via Helmholtz coils, in the same frequency range as described above, and within the intensity range of 0.1 to 1000 micro-Volts per centimetre squared. Ultrasound signals can be generated via piezoelectric transducers, with a carrier wave in the frequency range described herein, and within the intensity range of 0.5 to 500 milli-Watts per centimetre squared. Ultrasound can also be used to generate vibrations.

[0046] The transmissibility (or translation) of signals through the body is high, therefore, signals originating at the source, with a transducer and a source of, e.g., electrical, signal, can reach various parts of the body. For example, if the subject stands on the source of the physical signal, e.g., the platform described herein, the signal can be transmitted through the subject's feet and into upper parts of the body, e.g., abdomen, shoulders etc. This enhances elevate metabolic activity, reducing the fat percentage in the body.

[0047] To keep the waistline in check a plug based sensor assembly is designed that can be placed at four places of the waistline including the front, back, left and right of the waistline and each sensor is programmed to sense the distance from one sensor to the other possibly mapping the circumference, of the user to identify the increased or decreased waistline. Further to keep in check the weight it has a sensing mechanical like the jaw motion, electrical (e.g. EKG or EMG) or acoustic activities. The system can be used to monitor and modify overeating and thus be used for diet control. The system can also be used to monitor and modify behaviours associated with eating disorders.

[0048] The food ingestion detection subsystem includes one or more sensors for detecting sound, movement, density, light, or other conditions associated with a particular activity. Sensors for sensing the chemical environment in the mouth cavity saliva pH etc can also be used. Such sensors can be on the surface of the skin, in the mouth, implanted subcutaneously, or implanted completely internal to the body. The sensors can be powered using an internal power source such as a battery, capacitor or fuel cell, extract power from the temperature differential between the body and the surrounding air.

[0049] Acoustic energy generated by chewing, swallowing, biting, sipping, drinking, teeth grinding, teeth clicking, tongue clicking, tongue movement, jaw muscles or jaw bone movement, spitting, clearing of the throat, coughing, sneezing, snoring, breathing rate, breathing depth, nature of the breath, heartbeat, digestion, motility to or through the intestines, tooth brushing, smoking, screaming, user's voice or speech, other user-generated sounds, and ambient noises in the user's immediate surroundings can be monitored through one or more sensors (e.g. microphones) positioned in or around the ear area, on the skull, neck, throat, chest, back or abdomen regions.

[0050] The preferred area allows for such sounds to be analyzed to determine the nature of the bolus swallowed (type of food, number of chews, hard versus soft chews, crunchy versus soft food, ingestion of liquid etc.). Microphones in different positions or orientations can be tuned to detect sounds originating within the user's body as opposed to ambient sounds surrounding the user. The software can be used to select which microphone is given priority for data collection and analysis based on the situation. Each microphone can be optimized to receive a specific range of sound frequencies corresponding to the signal to be measured. The sensing element can be designed to be sensitive to a wide range of frequencies of the acoustic energy generated in the head region, ranging from approximately 0.001 hertz up to approximately 100 kilohertz. The sensing element can be sensitive to just a narrow range of frequencies and a multiplicity of sensing elements used to cover a broader range of frequencies. The sensing element can receive the acoustic energy via air transmission, tissue or bone conduction.

[0051] The sound sensor may transmit information with a 100% duty cycle continuously or only when an eating event is detected. The system can discriminate between an "empty" swallow of saliva only and a "full" swallow of food by discriminating among variables such as, for example, the timing and intensity of the swallowing event, the respiratory patterns, and the lack or presence of chewing or biting before and after the swallow event. When not transmitting sounds, the microphone and the associated electronics can be in standby mode to conserve power. The system can also measure the user's heart rate, heart rate coherence, breathing rate or breathing depth patterns or galvanic skin response to assess their stress, fear or anger level and then provide feedback to reduce the stress by, for example, talking to the user through breathing exercises. This could be useful in proactively reducing violent activity and impulsive behaviour. The galvanic skin response can also be correlated to the general mood of the user and the system can provide encouraging or funny verbal feedback to improve the user's mood.

[0052] The system can gather information about the user's weight by communicating through a wired or wireless connection with a body mass measuring system, a body fat measuring system (such as a body fat composition scale, hand-held fat detection system, or callipers), a specially designed garment or another physical measurement of one or more body parts; or a continuous bodyweight measuring means, such as load sensors placed in the shoes of the user.

[0053] Good sleep also plays an important role in keeping oneself healthy and reducing the side effects of stress. So here to detect the sleep pattern and any form of sleep apnea, the system includes a wearable device and a relay/cloud processor that is coupled to both the wearable device and to a display unit. It consists of a plurality of sensors including but not limited to an electrocardiograph (ECG) sensor, a triaxial MEMS accelerometer, and other derived sensors. The sensors read the physiological data signals of a patient/user for a predetermined period (e.g. overnight, multi-night) and process the physiological data signals into data streams. The derived sensor streams are transmitted to an internal processing unit of the wearable device for further processing. The algorithm is capable of providing reliable performance for sleep apnea screening with ECG and actigraphy sensors alone, without blood oxygen saturation measurements. The algorithm is optimized using larger datasets such as multi-night overnight data.

[0054] Further, the Data collection from the wearable sensory array may be done via the mobile patient application. Samples from these sensors may be uniformly or non uniformly sampled. The data collection process may merely bundle the samples into (non-overlapping) minute blocks to allow feature analysis on a minute-by minute basis. when stress is detected. When stress is detected, at 10 by the stress classifier, a notification may be sent to the user's mobile application to prompt the user of the possible consequences, so the user is prompted with options to relax oneself.

[0055] While there has been illustrated and described embodiments of the present invention, those of ordinary skill in the art, to be understood that various changes may be made to these embodiments without departing from the principles and spirit of the present invention, modifications, substitutions and modifications, the scope of the invention being indicated by the appended claims and their equivalents.

FIGURE DESCRIPTION

[0056] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate an exemplary embodiment and, together with the description, explain the disclosed embodiment. In the figures, the left and rightmost digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the figures to reference features and components. Some embodiments of the system and methods of an embodiment of the present subject matter are now described, by way of example only, and concerning the accompanying figures, in which:

[0057] Figure - 1 illustrates the flow chart for measuring physical parameters to identify stress

[0058] Figure - 2 shows the flow chart for measuring physiological signals to identify health problems

[0059] Figure - 3 shows the flow chart for identifying stress using Heart rate and sending notification

[0060] Figure - 4 shows the flow chart to display the stress level in real-time based on sensor data analysis

[0061] Figure - 5 shows the flow chart to determine SVB and ANS activity to detect stress markers causing obesity and Type - 2 diabetes.

Claims (8)

I/We Claim:

1. A system with multiple components to track the stress level in the user along with analysis the body fat, body weight and can indicate the possibility of type -2 diabetes along with managing and controlling diabetes in case the user is already diabetes to avoid organ damage where the system consists of

Sensors; Trackers; Electrodes; a non-invasive mechanism; LED; CPU; Microcontroller; Processor; Thermo Sensor; Galvanic Skin Reflex electrode; Amplifiers; Pulse Sensors; Photoelectric element;

2. The stress tracking system as claimed in claim - 1, has multiple wearable devices including wireless head plugs, headbands, masks, smell sensors, fat detection sensors, to perform the analysis of stress levels in the user in addition to identifying the behavioural change including overeating, screaming, depriving oneself of sleep and other factors which can lead to fatal health issues like obesity, diabetes, heart attacks and others.

3. The stress tracking system as claimed in claim - 1, has sensor electrodes to measure the brain waves to analyse the stress level and triggers which can cause stress and change in behaviours including overeating, getting angry, insomnia and others.

4. The stress tracking system as claimed in claim - 1, is capable of tracking the daily routine, fitness tracking body fat index that is compared with the stress level identified, to perform predictive analysis on the daily data and check the probability of a possible hike in body glucose level. It has sensors that can be inserted into the shoe sole to track the regular exercise routine and the weight of the user.

5. The stress tracking system as claimed in claim - 1, has a mechanism to detect the unusual smell of the mouth breathing that can be an easy indicator of the body burning fat instead of glucose if there is too little insulin in the blood, or if insulin resistance is too high Ketones.

6. The stress tracking system as claimed in claim - 1, its components has been equipped with microphones to sense the tone of speech to identify if the user is stressed, depressed angry to activate the brain waves detecting sensors to measure the stress level. This activation method helps to reduce power consumption or to save battery life during the working of the system as it activated only if the tone of speech seems inappropriate.

7. The stress tracking system as claimed in claim - 1, is capable to track the sleep pattern as disturbed sleep or sleep apnea can cause stress and overweight, increasing the possibility of diabetes and parallelly identifies the body glucose level non-invasively to recognize the possibility of type -2 diabetes.

8. The stress tracking system as claimed in claim - 1, controls the body weight by identifying the waistline as the sensors can be attached to the belly which can virtually measure the waist size and the proportional increase in the same.

Signatory Kartik Nakhate Hemant Badwaik KushagraNagori P", MukeshSharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin

Page 1 of 5

APPLICANT 09 Jul 2021

Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin 2021104019

Figure – 1 : Flow chart for measuring physical parameters to identify stress Signatory Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin

Page 2 of 5

APPLICANT 09 Jul 2021

Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin 2021104019

Figure – 2 : Flow chart for measuring physiological signals to identify health problems Signatory Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin

Page 3 of 5

APPLICANT 09 Jul 2021

Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin 2021104019

Figure – 3: Flow chart for identifying stress using Heart rate and to send notification Signatory Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin

Page 4 of 5

APPLICANT 09 Jul 2021

Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin 2021104019

Figure – 4 : Flow chart to display the stress level in real time based on sensor data analysis Signatory Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin

Page 5 of 5

APPLICANT 09 Jul 2021

Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin 2021104019

Figure – 5 : Flow chart to determine SVB and ANS activity to detect stress markers causing obesity and Type – II diabetes. Signatory Kartik Nakhate Hemant Badwaik Kushagra Nagori Mukesh Sharma Kalyani Sakure Vinay Sagar Verma Ayushmaan Roy Easwar Lal Verma Shahbaz Rathor Ajazuddin