Description:FIELD OF THE INVENTION

[0001] The present invention relates to a predictive health-monitoring device that helps users assess the risk of chronic diseases by analyzing various factors such as air quality, body temperature, sugar levels, and other relevant variables, providing early insights and alerts to manage potential health risks effectively and promote better well-being.

BACKGROUND OF THE INVENTION

[0002] Chronic diseases are long-lasting health conditions that typically develop over time and persist for months or even years. Common chronic diseases include heart disease, diabetes, respiratory diseases, and chronic kidney disease. The risk of developing chronic diseases is influenced by a combination of genetic factors, lifestyle choices, and environmental exposures. Poor diet, lack of physical activity, smoking, excessive alcohol consumption, and stress are key risk factors that contribute to the onset of chronic conditions. Additionally, age, family history, and certain environmental factors, such as exposure to pollutants or lack of access to healthcare, can increase susceptibility. Managing these risks through healthy lifestyle changes, such as regular exercise, balanced nutrition, quitting smoking, and reducing alcohol intake, can significantly lower the likelihood of developing chronic diseases. Early detection and regular health monitoring are also crucial for identifying risk factors and preventing the progression of chronic diseases, ultimately improving quality of life and longevity.

[0003] Traditional methods of predicting chronic diseases primarily involve assessing risk factors like family history, lifestyle choices, and basic health indicators such as blood pressure, cholesterol levels, and body mass index (BMI). Physicians often rely on clinical assessments, patient interviews, and routine screenings to estimate the likelihood of conditions like heart disease, diabetes, or hypertension. However, these methods have significant drawbacks. They tend to focus on individual risk factors without considering complex interactions between genetics, environment, and lifestyle. They also often lack real-time data, limiting the ability to detect early warning signs. Furthermore, traditional prediction methods may miss subtle health changes that occur over time or fail to account for conditions in their early stages. As a result, chronic diseases are often diagnosed too late, when interventions are less effective. More advanced approaches, such as continuous monitoring and personalized healthcare, are needed to address these gaps and improve early detection and prevention.

[0004] JP2022003436A provides a prior-dental examination system that gives a user who wants a precise diagnosis to get a precise diagnosis based on an image of the mouth of the user taken by an affiliative dentist and also gets pieces of advice before an examination and that makes it easier for the user to go to the dentist. SOLUTION: The prior-dental examination system includes: a prior-dental examination service device 14 which a user terminal can have an access via a network; and a dental office terminal set in a plurality of dental offices that the prior-dental examination service device can have an access via a network. The prior-dental examination service device has a program which realizes: a function of receiving information an on a symptom of a user selected from a plurality of symptoms for an abnormal site in a mouth sent from the user terminal; a function of receiving information on a symptom of the user selected from more specific symptoms sent from the user terminal; a function of performing a prediction diagnosis on the basis of the information a and b: and a function of causing the user terminal to display the name of a disease as a result of the prediction diagnosis and the explanation of the name of the disease.

[0005] US2021249138A1 is a disease risk prediction device includes a prediction unit 81 and a prediction result output unit 82. The prediction unit 81 predicts a development risk of an infectious disease using a prediction model for predicting a development status of the infectious disease, the prediction model being learned based on electronic data of a patient. The prediction result output unit 82 outputs the predicted development risk.

[0006] Conventionally, many devices focus on disease risk prediction, but fail to assist users in predicting the risk of chronic diseases by analyzing various factors like air quality, body temperature, sugar levels, and other relevant variables, missing the opportunity to provide early insights and alerts that can help users manage potential health risks effectively and promote better well-being through proactive monitoring and personalized health management.

[0007] To address the limitations of existing devices, there is a need to develop a device that assess the risk of chronic diseases by analyzing various factors such as air quality, body temperature, sugar levels, and other relevant variables, offering early insights and alerts to help users manage potential health risks more effectively, enabling proactive intervention and ultimately promoting improved well-being through comprehensive, real-time health monitoring and personalized risk management.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that continuously monitors sugar levels, heart rate, blood pressure, respiratory rate, and body temperature to detect and track early signs of chronic diseases, identifying subtle physiological changes before symptoms appear, and providing timely alerts to users for proactive health management and early intervention.

[0010] Another object of the present invention is to develop a device that is capable of monitoring chronic skin conditions by analyzing skin's response to various external factors, such as environmental changes or irritants, and providing timely alerts to the user, enabling early detection and management of skin issues to prevent further complications and promote healthier skin.

[0011] Yet another object of the present invention is to develop a device that analyzes sound patterns emitted by the user to distinguish between normal, healthy sounds and those indicating potential health issues, alerting the user about changes in coughing frequency or speech patterns, and offering advice such as taking medication or avoiding environmental factors that may worsen symptoms.

[0012] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0013] The present invention relates to a predictive health monitoring device for chronic disease risk, that helps users assess chronic disease risks by analyzing factors such as air quality, body temperature, sugar levels, and other variables, enabling early detection and proactive management of potential health risks to enhance overall well-being and prevent future health complications.

[0014] According to an embodiment of the present invention, a predictive health monitoring device for chronic disease risk, comprising a wearable band adapted to be fit around wrist/neck or arm portion of a user, a transdermal glucose sensor embedded within the band measure glucose levels in the user’s body, plurality of sensors integrated with the band analyze vital signs, including heart rate, blood pressure, respiratory rate, and body temperature, to provide real-time data on user’s health status and track pre and post-symptoms of chronic diseases by identifying subtle changes in physiological signals before onset of symptoms, an artificial intelligence-based imaging unit installed on the band analyze user’s facial expressions to detect changes indicative of chronic disease episodes, an optical sensor integrated with a near-infrared spectroscopy sensor arranged with the band monitor chronic skin conditions by analyzing skin's response to various external factors, an optical particle sensor integrated with the band monitor air pollution levels in real-time, detecting and measuring harmful airborne particles and providing instant updates to the user, an integrated GPS (Global Positioning System) module that identifies user's specific location, providing location-based air quality information, a microphone embedded with the band analyze various sound patterns emitted by the user to detect underlying health issues, wherein if any unusual change is detected, a kinetic energy harvesting unit configured in the band with a solar energy harvesting unit convert user movement into electrical energy for harvesting unit and solar energy harvesting unit.

[0015] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0016] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a perspective view of a predictive health-monitoring device for chronic disease risk.

DETAILED DESCRIPTION OF THE INVENTION

[0017] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0018] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0019] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0020] The present invention relates to a predictive health-monitoring device for chronic disease risk that helps users assess the risk of chronic diseases by analyzing factors such as air quality, body temperature, sugar levels, and other variables, enabling early detection and pro-active management of potential health risks to improve overall well-being.

[0021] Referring to Figure 1, a perspective view of a predictive health monitoring device for chronic disease risk is illustrated, comprising a wearable band 101, a transdermal glucose sensor 102 embedded within the band 101, plurality of sensors 103 integrated with the band 101, an artificial intelligence-based imaging unit 104 installed on the band 101, an optical sensor 105 arranged with the band 101, an optical particle sensor 106 integrated with the band 101, a microphone 107 embedded with the band 101, a kinetic energy harvesting unit 108 configured in the band 101 and a solar energy harvesting unit 109 integrated with flexible solar panels embedded in the band 101.

[0022] The proposed device features a wearable band 101 designed to be comfortably fitted around the wrist, neck, or arm of a user, enabling continuous monitoring of health metrics to assess the risk of chronic diseases, providing real-time data for early detection, and helping individuals manage the health proactively through consistent tracking of vital signs and potential health indicators.

[0023] The band 101 as mentioned herein serves as a structural foundation to various components associated with the device, wherein the band 101 is made up of material that includes but not limited to flexible, breathable, and durable materials such as silicone or soft fabric, offering comfort for prolonged wear, moisture resistance, and skin-friendly properties, while ensuring long-lasting use and ease of cleaning for daily wear.

[0024] In order to activate functioning of the device, a user is required to manually switch on the device by pressing a button positioned on the band 101, wherein the button used herein is a push button. Upon pressing of the button, the circuits get closed allowing conduction of electricity that leads to activation of the device and vice versa.

[0025] Upon activation of the device by the user, a transdermal glucose sensor 102 embedded within the band 101 measures glucose levels in the user’s body. The transdermal glucose sensor 102 works by measuring glucose levels in the user's body through their skin, typically using a small electrode. The sensor 102 detects glucose molecules in the interstitial fluid just beneath the skin's surface, using an electrochemical reaction to generate a current proportional to the glucose concentration. This data is then transmitted to a processing unit associated with the device, providing real-time glucose readings of the user.

[0026] The processing unit analyzes the glucose data collected by the transdermal glucose sensor 102 and delivers real-time glucose level information to the user through an inbuilt user interface on a computing unit, alerting the user to potential diabetic conditions, and offering personalized dietary recommendations based on the user’s glucose readings to help manage and optimize the health, ensuring proactive adjustments to the lifestyle and diet to maintain healthy glucose levels and prevent the onset of complications related to diabetes.

[0027] Plurality of sensors 103, including a heart rate sensor, a blood pressure sensor, a respiratory sensor and a temperature sensor and integrated with the band 101 continuously monitors and analyze vital signs, including heart rate, blood pressure, respiratory rate, and body temperature, to provide real-time data on user’s health status. The heart rate sensor monitors the user's heart rate by using optical or electrical sensors to detect changes in blood flow, with optical sensors emitting light through the skin and measuring the reflected light, while electrical sensors detect the electrical signals generated by the heart's contractions, transmitting this data to the processing unit for analysis, thereby providing real-time heart rate information of the user.

[0028] The blood pressure sensor monitors the user's blood pressure by using oscillometric or auscultatory methods, where Oscillo metric sensors detect pressure fluctuations in the arteries as the cuff inflates and deflates, or auscultatory sensors listen for Korotkoff sounds during cuff deflation, and these measurements are processed by the processing unit to calculate systolic and diastolic pressure of the user.

[0029] The respiratory sensor monitors the user's respiratory rate by detecting changes in airflow or chest movement, using methods such as impedance pneumography, where sensors measure the electrical impedance of the chest as it expands and contracts with breathing, or through infrared sensors that detect changes in temperature or gas composition in the exhaled air, providing real-time data on the user's breathing rate.

[0030] The temperature sensor monitors the user's body temperature by detecting heat levels through methods like infrared sensing or thermistors, where infrared sensors measure the emitted radiation from the skin or forehead, while thermistors change resistance in response to temperature fluctuations, providing real-time data. This information is then processed by the processing unit for continuous monitoring of body temperature of the user.

[0031] These sensors 103 detect and track pre- and post-symptoms of chronic diseases by identifying subtle changes in physiological signals before symptoms appear, and if any monitored readings fall outside the normal range, the processing unit sends an immediate alert to the computing unit, recommending actions such as taking a break, reducing physical exertion, or consulting a healthcare professional, enabling early intervention and potentially preventing the worsening of health conditions by providing timely recommendations based on real-time data.

[0032] An artificial intelligence-based imaging unit 104 installed on the band 101 integrated with a facial recognition module is activated by the processing unit to continuously monitor and analyze user’s facial expressions to detect changes indicative of chronic disease episodes. The artificial intelligence-based imaging unit 104 with a facial recognition module continuously monitors and analyzes the user’s facial expressions using high-resolution cameras and advanced image processing protocols. These protocols detect subtle changes in facial features, such as muscle tension, eye movement, and skin tone variations, which indicates underlying health issues or the onset of chronic disease episodes like migraines, anxiety, or cardiovascular conditions. The AI system is trained to recognize patterns associated with these conditions, identifying even the slightest deviations from a user's baseline facial expressions. As the processing unit collects real-time data, compares the current facial expression to established health profiles, noting any abnormal shifts.

[0033] Upon detecting abnormal facial conditions associated with chronic diseases, such as facial pallor, swelling, or other visible signs, the facial recognition module processes the data and triggers an alert to the user and the caregivers, notifying them of potential health issues. This early intervention allows for timely action, ensuring that the user can receive appropriate care or medical attention, potentially preventing the escalation of the condition and improving overall health management.

[0034] An optical sensor 105 integrated with a near-infrared spectroscopy sensor arranged with the band 101 detects and monitors chronic skin conditions by analyzing skin's response to various external factors. The optical sensor 105 with near-infrared spectroscopy (NIRS) works by emitting near infrared light into the skin and analyzing the reflected light to detect and monitor chronic skin conditions. NIRS sensors measure how the skin absorbs and scatters light at different wavelengths, providing detailed information about the skin’s composition, hydration levels, blood flow, and tissue oxygenation. Changes in the skin's response to external factors, such as environmental conditions, UV exposure, or inflammation, are captured through these optical readings. The sensor 105 identifies subtle variations that may indicate the presence of chronic skin conditions like psoriasis, eczema, or skin aging. By continuously analyzing the skin's response to these external factors, the processing unit track condition progression, alert the user to potential flare-ups, and offer recommendations for skin care or lifestyle changes, enabling real-time monitoring, allowing for early intervention and better management of chronic skin health issues.

[0035] The optical sensor 105 analyzes changes in the skin’s moisture levels by emitting light onto the skin and measuring how it reflects back. Variations in the reflected light indicate changes in hydration, allowing the sensor 105 to detect dryness or irritation. When the sensor 105 identifies signs of reduced moisture or early flare-ups, which may signal conditions like eczema, the sensor 105 triggers the microcontroller to alert to the user. The notification recommends immediate actions, such as applying moisturizer, adjusting skincare routines, or avoiding environmental triggers. This proactive monitoring helps prevent worsening of skin conditions, promoting timely care and better skin health management.

[0036] The optical sensor 105 assesses the skin’s response to external factors, such as ultraviolet (UV) exposure, by detecting changes in skin tone or pigmentation. When the sensor 105 detects UV levels that could exacerbate conditions like lupus or eczema, the processing unit sends an alert to the user. The notification advises the user to take preventive actions, such as applying sunscreen, wearing protective clothing, or seeking shade, to minimize further damage. This helps users manage their skin conditions by avoiding harmful UV exposure and reducing flare-ups.

[0037] An optical particle sensor 106 integrated with the band 101 monitor’s air pollution levels in real-time, detecting and measuring harmful airborne particles and providing instant updates to the user. The optical particle sensor 106 monitor’s air pollution levels in real-time by using a light source, such as a laser or LED, to scatter light across the air. As airborne particles, like dust, smoke, or pollutants, pass through the light beam, they scatter the light in different directions. The sensor 106 detects this scattered light using a photodetector, measuring the intensity and size of the particles. By analyzing the amount and type of scattered light, the sensor 106 determines the concentration of harmful airborne particles, such as PM2.5 or PM10. The data is processed and transmitted to processing unit and the user interface, providing instant updates on current air quality levels, enabling the user to take necessary actions, such as moving to a cleaner environment or using air purifiers, to reduce exposure to harmful pollutants.

[0038] The processing unit is integrated with a GPS (Global Positioning System) module to identify specific location of the user. The GPS module works by receiving signals from a network of satellites to precisely determine the user’s location on Earth. The GPS module calculates the user’s coordinates (latitude, longitude) by triangulating the signals from multiple satellites, allowing it to pinpoint the user’s real-time position. This information is then sent to the processing unit, which uses the data to fetch location-based air quality data from local environmental monitoring networks or databases. The processing unit combines the user’s geographical information with data of the optical particle sensor 106, such as PM2.5, PM10, and other pollutants, to assess the air quality in that specific area and providing the user with immediate, location-specific air quality updates on a connected device, alerting the user to any hazardous conditions in the vicinity along with notifying the user to wear a mask, avoiding prolonged exposure, or seeking shelter.

[0039] A microphone 107 embedded in the band 101 and integrated with machine learning modules is activated by the processing unit to capture and analyze various sound patterns emitted by the user, such as speech, breathing, or coughing. The microphone 107 records sound frequencies and transmits the audio data to the processing unit, where machine-learning protocols process the sound signals to identify specific patterns or anomalies indicative of health conditions. For example, the device detect changes in speech patterns or breathing irregularities that may signal respiratory issues, vocal cord strain, or other symptoms related to chronic diseases. The machine-learning module is trained on a large dataset of sound patterns associated with different conditions, allowing the processing unit to recognize subtle differences between normal, healthy sounds and those indicative of underlying health issues.

[0040] If the processing unit detects any unusual changes, such as an increase in coughing frequency or alterations in speech patterns, the processing unit immediately analyzes the data for potential health concerns. These changes may indicate respiratory issues, vocal strain, or early signs of chronic conditions such as asthma, allergies, or respiratory infections. Upon identifying significant deviations from the user’s baseline patterns, the processing unit sends an alert to the user, notifying them of the abnormal findings. Along with the alert, the processing unit provides personalized advice, such as taking prescribed medication, using a nebulizer, or avoiding exposure to environmental triggers like smoke, allergens, or extreme temperatures, which could exacerbate symptoms. The processing unit may also suggest other preventive actions, like increasing hydration or adjusting the user’s environment to reduce irritation. This real-time feedback empowers the user to take proactive steps to manage the health, reducing the risk of worsening symptoms and improving overall well-being.

[0041] A kinetic energy harvesting unit 108 embedded in the band 101 converts user movement into electrical energy using a piezoelectric material. As the user moves, the unit harnesses the motion—whether through walking, running, or arm movements—and generates mechanical vibrations or changes in pressure. These vibrations are then converted into electrical energy, which is stored in a battery associated with the band 101 to provide power to the sensors 103 or other components, enabling continuous operation without the need for frequent charging, and enhancing the band’s 101 sustainability for long-term use.

[0042] A solar energy-harvesting unit 109 integrated with flexible solar panels embedded in the band 101, captures sunlight and converts it into electrical energy through photovoltaic cells. When exposed to light, the solar panels generate a flow of electric current, which is directed to the battery for storage. These flexible panels are lightweight and conform to the band’s 101 design, ensuring comfort and portability. The harvested solar energy powers the band’s 101 and other electronic components, reducing the need for external charging and enabling continuous operation, especially in outdoor or sunny environments.

[0043] The processing unit leverages telemedicine capabilities to transmit the collected health data, such as vital signs, to a healthcare provider for remote monitoring. This enables continuous surveillance of the user's health, allowing healthcare professionals to track trends, identify potential issues, and offer timely recommendations or interventions. Through secure communication channels, the device ensures that healthcare providers may respond quickly to any abnormalities, improving the overall quality of care and enabling proactive health management without the need for in-person visits.

[0044] Telemedicine facilitates the seamless sharing of real-time health data with doctors via the user interface, generating detailed health reports for virtual consultations. Telemedicine enables users to initiate video or chat-based consultations directly through the user-interface, bridging the gap between patients and healthcare providers, improving accessibility, reducing hospital visits, and ensuring accurate, timely diagnoses through up-to-date health metrics, thereby enhancing overall healthcare delivery and providing a convenient, efficient solution for remote medical support and continuous monitoring.

[0045] The collected data is integrated into a healthcare management platform, allowing for long-term tracking and analysis of the user's health metrics, including cardiovascular health, blood pressure, and body temperature. By analyzing these data trends over time, the platform can identify potential health risks, such as early signs of cardiovascular issues or fluctuations in vital signs. This enables healthcare providers to offer insights for preventive care, adjust treatment plans, and more effectively manage chronic diseases, promoting better overall health outcomes for the user.

[0046] The processing unit continuously monitors the user's vital health parameters and physiological signals, such as heart rate, blood pressure, and oxygen levels. If the processing unit detects a critical health issue, such as a sudden change or emergency, the device automatically sends alerts to pre-set emergency contacts, including family members or healthcare providers. This swift notification reduces response time, enabling prompt intervention and potentially preventing severe complications or even saving lives by ensuring timely medical attention when needed the most.

[0047] Lastly, a battery is installed within the device, which is connected to the microcontroller that supplies current to all the electrically powered components that needs an amount of electric power to perform their functions and operation in an efficient manner. The battery utilized here, is preferably a dry battery, which is made up of Lithium-ion material that gives the device a long lasting as well as an efficient DC (Direct Current) current, which helps every component to function properly in an efficient manner. As the device is battery operated and do not need any electrical voltage for functioning. Hence the presence of battery leads to the portability of the device i.e., user is able to place as well as moves the device from one place to another as per the requirements.

[0048] The present invention works best in the following manner, where the wearable band 101 as disclosed in the invention is designed to be comfortably fitted around the wrist, neck, or arm of the user, enabling continuous monitoring of health metrics to assess the risk of chronic diseases. Upon activation of the device by the user, the transdermal glucose sensor 102 embedded within the band 101 measures glucose levels in the user’s body. The processing unit analyzes the glucose data collected by the transdermal glucose sensor 102 and delivers real-time glucose level information to the user through the inbuilt user interface on the computing unit. Plurality of sensors 103, including the heart rate sensor, the blood pressure sensor, the respiratory sensor and the temperature sensor and integrated with the band 101 continuously monitors and analyze vital signs, including heart rate, blood pressure, respiratory rate, and body temperature, to provide real-time data on user’s health status. The artificial intelligence-based imaging unit 104 installed on the band 101 integrated with the facial recognition module is activated by the processing unit to continuously monitor and analyze user’s facial expressions to detect changes indicative of chronic disease episodes. Upon detecting abnormal facial conditions associated with chronic diseases, such as facial pallor, swelling, or other visible signs, the facial recognition module processes the data and triggers the alert to the user and the caregivers, notifying them of potential health issues. The optical sensor 105 integrated with the near-infrared spectroscopy sensor arranged with the band 101 detects and monitors chronic skin conditions by analyzing skin's response to various external factors alert the user to potential flare-ups, and offer recommendations for skin care or lifestyle changes, enabling real-time monitoring, allowing for early intervention and better management of chronic skin health issues.

[0049] In continuation, the optical particle sensor 106 integrated with the band 101 monitor’s air pollution levels in real-time, detecting and measuring harmful airborne particles and providing instant updates to the user. The data is processed and transmitted to processing unit and the user interface, providing instant updates on current air quality levels, enabling the user to take necessary actions, such as moving to the cleaner environment or using air purifiers, to reduce exposure to harmful pollutants. The microphone 107 embedded in the band 101 and integrated with machine learning modules is activated by the processing unit to capture and analyze various sound patterns emitted by the user, such as speech, breathing, or coughing. If the processing unit detects any unusual changes, such as the increase in coughing frequency or alterations in speech patterns, the processing unit immediately analyzes the data for potential health concerns.

[0050] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A predictive health monitoring device for chronic disease risk, comprising:

i) a wearable band 101 adapted to be fit around wrist/neck or arm portion of a user, wherein said band 101 is constructed from a flexible material that ensures durability and proper fit around said user’s body part;
ii) a transdermal glucose sensor 102 embedded within said band 101, designed to measure glucose levels in said user’s body, wherein a processing unit associated with said device analyzes said glucose data collected and provides real-time data to said user regarding glucose levels, over a user-interface inbuilt in a computing unit accessed by said user, indicating potential diabetic conditions, and provides personalized dietary recommendations based on user's glucose readings;
iii) plurality of sensors 103 integrated with said band 101 to continuously monitor and analyze vital signs, including heart rate, blood pressure, respiratory rate, and body temperature, to provide real-time data on user’s health status, wherein said sensors 103 detect and track pre- and post-symptoms of chronic diseases by identifying subtle changes in physiological signals before onset of symptoms, and if any monitored readings fall outside normal range, said processing unit provides immediate alert on said computing unit, recommending actions such as taking a break, reducing physical exertion, or consulting a healthcare professional;
iv) an artificial intelligence-based imaging unit 104 installed on said band 101 and integrated with a facial recognition module, designed to continuously monitor and analyze user’s facial expressions to detect changes indicative of chronic disease episodes, wherein upon detection of an abnormal facial conditions associated with chronic diseases, such as facial pallor, swelling, or other visible signs, and processing unit alerts said user and their caregivers for early intervention;
v) an optical sensor 105 integrated with a near-infrared spectroscopy sensor arranged with said band 101 to detect and monitor chronic skin conditions by analyzing skin's response to various external factors, wherein said optical sensor 105 utilizes near-infrared light to penetrate skin and gather data on skin hydration, oxygenation, and blood circulation, providing real-time insights into skin's health status over said computing unit;
vi) an optical particle sensor 106 integrated with said band 101 to monitor air pollution levels in real-time, detecting and measuring harmful airborne particles and providing instant updates to said user, wherein said processing unit is integrated with a GPS (Global Positioning System) module that identifies user's specific location and said microcontroller continuously via said optical particle sensor 106 tracks air quality levels in those areas, providing location-based air quality information;
vii) a microphone 107 embedded with said band 101 and integrated with machine learning modules, enabling said processing unit to analyze various sound patterns emitted by said user, wherein said processing unit distinguishes between normal, healthy sounds and those indicative of underlying health issues, wherein if any unusual change is detected, such as an increase in coughing frequency or a change in speech patterns, said processing unit alert said user, offering advice such as taking medication or avoiding exposure to certain environmental factors that may worsen symptoms; and
viii) a kinetic energy harvesting unit 108 configured in said band 101 to convert user movement into electrical energy, and a solar energy harvesting unit 108 integrated with flexible solar panels embedded in said band 101, wherein combination of said kinetic energy harvesting unit 108 and solar energy harvesting unit 108 reduces need for frequent charging, ensures continuous operation, and promotes eco-friendly sustainability.

2) The device as claimed in claim 1, wherein said sensors includes a heart rate sensor, a blood pressure sensor, a respiratory sensor and a temperature sensor.

3) The device as claimed in claim 1, wherein said device utilizes telemedicine capabilities, allowing said processing unit to transmitted collected data to a healthcare provider for remote monitoring, providing ongoing health surveillance and timely recommendations or interventions by healthcare professionals.

4) The device as claimed in claim 1, wherein said collected data is be integrated into a healthcare management platform, enabling long-term tracking and analysis of the user’s health, identifying trends in cardiovascular health, blood pressure, and body temperature, and providing insights for preventive care or managing chronic diseases

5) The device as claimed in claim 1, wherein said optical sensor 102 analyzes changes in the skin’s moisture levels, detecting dryness or irritation, which signal flare-ups in conditions such as eczema, and sends a notification to said user recommending moisturizing or other preventive measure.

6) The device as claimed in claim 1, wherein said optical sensor 102 assesses said skin’s response to external factors, such as ultraviolet (UV) exposure, and alerts said user when UV exposure is at a level that could worsen conditions like lupus or eczema, recommending preventive actions such as sunscreen application or seeking shade.

7) The device as claimed in claim 1, wherein GPS-integrated air quality monitoring alerts said user when they enter areas with high pollutant levels, offering personalized guidance on actions to take, such as wearing a mask, avoiding prolonged exposure, or seeking shelter.

8) The device as claimed in claim 1, wherein said processing unit continuously monitors user's vital health parameters and other physiological signals, and upon detecting a critical health issue, said processing unit automatically sends alerts to pre-set emergency contacts, reducing response time and potentially preventing severe complications or even saving lives.

9) The device as claimed in claim 1, wherein a battery is associated with said device for powering up electrical and electronically operated components associated with said device.