Wearable breath analysis device for continuous health monitoring, comprises housing configured as nose ring, constructed of lightweight, biocompatible materials to ensure comfort and long-term wear, array of miniaturized gas sensors embedded within housing, and analog-to-digital converter
	BHENDE M; TAMRAKAR P; GOEL A; LAL M
	2024-12-20
专利权人	DY PATIL VIDYAPEETH PUNE (DYPA-Non-standard)
申请日期	2024-12-20
专利号	IN202421101495-A
成果简介	NOVELTY - Wearable breath analysis device comprises a housing configured as a nose ring, constructed of lightweight, biocompatible materials to ensure comfort and long-term wear; an array of miniaturized gas sensors embedded within the housing, the gas sensors comprise (i) at least one Metal oxide semiconductor (MOS) sensor configured to detect Volatile organic compounds (VOCs); (ii) at least one electrochemical sensor configured to detect carbon dioxide; (iii) at least one Infrared (IR) sensor configured to detect Nitric oxide (NO); an Analog-to-digital converter (ADC) electrically coupled to the gas sensors, configured to convert analog signals from the sensors into digital data; a low-power microcontroller integrated within the housing. USE - Wearable breath analysis device for continuous health monitoring. ADVANTAGE - The system enables non-invasive, and continuous respiratory health tracking. The mobile application in the system is configured to utilize machine learning algorithms to improve the accuracy of health insights based on user-specific respiratory patterns; issue predictive alerts for potential respiratory complications, such as asthma exacerbations or Chronic obstructive pulmonary disease (COPD) flare-ups. DETAILED DESCRIPTION - Wearable breath analysis device comprises a housing configured as a nose ring, constructed of lightweight, biocompatible materials to ensure comfort and long-term wear; an array of miniaturized gas sensors embedded within the housing, the gas sensors comprise (i) at least one Metal oxide semiconductor (MOS) sensor configured to detect Volatile organic compounds (VOCs); (ii) at least one electrochemical sensor configured to detect carbon dioxide; (iii) at least one Infrared (IR) sensor configured to detect Nitric oxide (NO); an Analog-to-digital converter (ADC) electrically coupled to the gas sensors, configured to convert analog signals from the sensors into digital data; a low-power microcontroller integrated within the housing, the microcontroller configured to (i) process the digital data from the ADC; (ii) perform data calibration to account for sensor drift and environmental factors; (iii) apply algorithms to detect patterns or anomalies in the sensor data; (iv) reduce noise and improve data accuracy; a wireless communication module comprises Bluetooth low energy (BLE) or Wi-Fi(RTM:Wireless network protocol), configured to transmit processed data to an external device; a rechargeable power source integrated within the housing, and optionally supplemented by an energy harvesting mechanism configured to capture energy from nasal airflow or motion; a mobile application communicatively linked to the wireless communication module, the application configured to (i) receive and display health metrics derived from the processed sensor data; (ii) provide real-time feedback and alerts for abnormal respiratory health readings; (iii) deliver personalized health recommendations using Artificial intelligence (AI)- powered algorithms; iv) track historical trends and facilitate integration with Electronic health records (EHRs). An INDEPENDENT CLAIM is included for a method for continuous respiratory health monitoring using a wearable breath analysis device which involves: (a) capturing exhaled breath through a housing configured as a nose ring; (b) detecting specific biomarkers in the exhaled breath using an array of gas sensors, the biomarkers comprising VOCs, carbon dioxide, and NO; (c) processing the sensor signals using a microcontroller to generate health metrics; (d) transmitting the health metrics to a mobile application via a wireless communication module; (e) analyzing the health metrics in the mobile application using AI algorithms to generate real time feedback, alerts, and personalized recommendations; and (f) presenting the analyzed data to the user through the mobile application for proactive respiratory health management.
IPC 分类号	A61B-005/00 ; A61B-005/08 ; G01N-033/497 ; G16H-010/60 ; G16H-050/20
国家	印度
专业领域	医药卫生
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13935
专题	中国科学院新疆生态与地理研究所
作者单位	DY PATIL VIDYAPEETH PUNE (DYPA-Non-standard)
推荐引用方式 GB/T 7714	BHENDE M,TAMRAKAR P,GOEL A,et al. Wearable breath analysis device for continuous health monitoring, comprises housing configured as nose ring, constructed of lightweight, biocompatible materials to ensure comfort and long-term wear, array of miniaturized gas sensors embedded within housing, and analog-to-digital converter. IN202421101495-A[P]. 2024.

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