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公开(公告)号：US11373731B2
公开(公告)日：2022-06-28
申请号：US16179784
申请日：2018-11-02
发明人： Vivek Chandel , Dhaval Satish Jani , Sundeep Khandelwal , Shalini Mukhopadhyay , Dibyanshu Jaiswal , Avik Ghose , Arpan Pal , Kartik Muralidharan
摘要： This disclosure relates generally to classification of cardiopulmonary fatigue. The method and system provides a longitudinal monitoring platform to classify cardiopulmonary fatigue of a subject using a wearable device worn by the subject. The activities of the subject is continuous monitored by plurality of sensors embedded in a wearable device. The received sensor signals are processed in multiple stages to classify cardiopulmonary fatigue as healthy or unhealthy based on respiratory, heart rate and recovery duration parameters extracted from the received sensor data. Further using the classified cardiopulmonary fatigue level, the C2P also performs longitudinal analysis to detect potential cardiopulmonary disorders.
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公开(公告)号：US11887730B2
公开(公告)日：2024-01-30
申请号：US16526340
申请日：2019-07-30
发明人： Avik Ghose , Arpan Pal , Sundeep Khandelwal , Rohan Banerjee , Sakyajit Bhattacharya , Soma Bandyopadhyay , Arijit Ukil , Dhaval Satish Jani
摘要： This disclosure relates generally to methods and systems for unobtrusive digital health assessment of high risk subjects, wherein bio-markers pertaining to a disease are identified automatically using physical activity and physiology monitoring on a continuous basis. Identification of bio-markers in the medical domain is conventionally dependent on insights derived from medical tests which are obtrusive in nature. Systems and methods of the present disclosure integrate physical characteristics, lifestyle habits and prevailing medical conditions with monitored physical activities and physiological measurements to assess health of high risk subjects. Systems and methods of the present disclosure also enable automatic generation of control class and treatment class that may be effectively used for health assessment.
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