Abstract: A system that can analyse a person's breath to reveal about their health conditions. The proposed system integrates pulse oximeter, measures blood oxygen levels in the body, while a breath sensor detects chemicals that can indicate conditions like diabetes, asthma, and COPD. The information is sent to a cloud, where it is analysed to create a detailed picture of the person's health. This can help healthcare professionals provide personalized treatments and proactive wellness strategies. The process is described as a "silent symphony" that guides people to a healthier future using the air they breathe. This project proposes the development of a sophisticated non-invasive sensor system designed for the simultaneous monitoring of multiple body parameters, enabling the early detection of various diseases. The system employs a combination of sensors to collect real-time data such as heart rate, oxygen saturation, and blood glucose levels. Utilizes advanced sensors to non-invasively monitor a comprehensive set of vital signs, providing a holistic view of the individual health.
Description:The objective of the multi disease detection and health monitoring system is to provide a comprehensive solution for early disease detection, continuous health monitoring, and personalized healthcare management. By integrating non-invasive sensors, wearable devices, and advanced machine learning algorithms, the system aims to continuously collect and analyse vital health data, including heart rate, blood pressure, SpO2 levels, and other relevant parameters. The primary goal is to detect patterns and anomalies indicative of various diseases and health issues, enabling timely intervention and treatment. Additionally, the system seeks to empower users to take proactive control of their health by providing real-time insights, alerts, and personalized recommendations. By promoting remote monitoring and facilitating seamless communication between users and healthcare providers, the system aims to improve healthcare accessibility, reduce healthcare costs, and ultimately enhance health outcomes for individuals and communities. , Claims:1. Improved Patient Outcomes: Early detection of diseases and continuous health monitoring will lead to better management of health conditions, potentially reducing complications and improving overall well-being.
2. Enhanced Disease Management: The system will enable healthcare providers to intervene promptly in case of abnormal health readings, allowing for timely adjustments to treatment plans and medications.
3. Increased Patient Engagement: By providing users with access to their health data through user friendly interfaces, the system will encourage active participation in self-care and adherence to treatment regimens.
4. Efficient Healthcare Delivery: Remote monitoring capabilities will reduce the need for frequent in person visits to healthcare facilities, saving time and resources for both patients and providers.
5. Preventive Healthcare: Predictive analytics and early warning systems will enable proactive measures to prevent disease progression, promoting a preventive approach to healthcare.
| # | Name | Date |
|---|---|---|
| 1 | 202441097698-REQUEST FOR EARLY PUBLICATION(FORM-9) [11-12-2024(online)].pdf | 2024-12-11 |
| 2 | 202441097698-FORM-9 [11-12-2024(online)].pdf | 2024-12-11 |
| 3 | 202441097698-FORM 1 [11-12-2024(online)].pdf | 2024-12-11 |
| 4 | 202441097698-FIGURE OF ABSTRACT [11-12-2024(online)].pdf | 2024-12-11 |
| 5 | 202441097698-DRAWINGS [11-12-2024(online)].pdf | 2024-12-11 |
| 6 | 202441097698-COMPLETE SPECIFICATION [11-12-2024(online)].pdf | 2024-12-11 |