Non-invasive blood health monitoring device for managing e.g. diabetes, has optical and electrical sensors for assessing hematological and metabolic biomarkers in real time, and machine learning engine for estimating blood glucose, hemoglobin, oxygen saturation, and hydration based on sensor data
2025-03-28
专利权人SULE B (SULE-Individual) ; MAHALLE P N (MAHA-Individual) ; TAKALE D G (TAKA-Individual) ; DESHMUKH G B (DESH-Individual) ; JAYBHAYE S (JAYB-Individual) ; MOTE A D (MOTE-Individual) ; JADHAV P (JADH-Individual) ; GHUGE K (GHUG-Individual) ; CHAVAN P V (CHAV-Individual) ; VASGI B P (VASG-Individual) ; CHAUDHARI P B (CHAU-Individual) ; MAHAJAN R A (MAHA-Individual)
申请日期2025-03-28
专利号IN202521029785-A
成果简介NOVELTY - The device has optical and electrical sensors for assessing hematological and metabolic biomarkers in a real time. A wearable form factor is equipped with multi-wavelength photoplethysmography and near-infrared spectroscopy for continuous blood parameter analysis. A machine learning engine estimates blood glucose, hemoglobin, oxygen saturation, and hydration based on sensor data. A bioimpedance module detects hydration status and cellular fluid variations. A calibration system adapts biomarker estimations based on individual physiological characteristics. A mobile application interface displays real-time blood health metrics and generates alerts for abnormal readings. USE - Non-invasive blood health monitoring device for managing chronic diseases e.g. diabetes, anemia, and cardiovascular disorders. ADVANTAGE - The device is easy to use.
IPC 分类号A61B-005/00 ; A61B-005/145 ; A61B-005/1455 ; G16H-010/60 ; G16H-050/30
国家印度
专业领域信息技术
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/13397
专题中国科学院新疆生态与地理研究所
作者单位
1.SULE B (SULE-Individual)
2.MAHALLE P N (MAHA-Individual)
3.TAKALE D G (TAKA-Individual)
4.DESHMUKH G B (DESH-Individual)
5.JAYBHAYE S (JAYB-Individual)
6.MOTE A D (MOTE-Individual)
7.JADHAV P (JADH-Individual)
8.GHUGE K (GHUG-Individual)
9.CHAVAN P V (CHAV-Individual)
10.VASGI B P (VASG-Individual)
11.CHAUDHARI P B (CHAU-Individual)
12.MAHAJAN R A (MAHA-Individual)
推荐引用方式
GB/T 7714
SULE B,MAHALLE P N,TAKALE D G,et al. Non-invasive blood health monitoring device for managing e.g. diabetes, has optical and electrical sensors for assessing hematological and metabolic biomarkers in real time, and machine learning engine for estimating blood glucose, hemoglobin, oxygen saturation, and hydration based on sensor data. IN202521029785-A[P]. 2025.
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