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- W4309270007 abstract "Respiration signals reflect many underlying health conditions, including respiratory distress, autonomic disorders, and cardiopulmonary functions, thus continuous measurement of respiration is needed in various cases. Unfortunately, there is still a lack of effective portable electronic devices that meet the demands for medical and daily respiration monitoring. In this work, we showcase a soft, wireless, and non-invasive device within 25 × 49 mm <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> for quantitative and real-time evaluation of human respiration. Our device captures respiration and temperature signatures simultaneously using flexible customized 10 μm thick sensors and converting circuits, encapsulated by a breathable layer, and does not limit the user’s daily life. We further propose a machine learning-based respiration classification algorithm with a set of carefully studied features as inputs and deploy it into mobile clients. Body status of users, such as being quiet, active, and coughing can be accurately recognized with over 90% accuracy on clients. Moreover, multiple devices can be linked to a server network to monitor a group of users and provide each user with the statistical duration of physiological activities, coughing alerts, and body health advice. With our devices, individual and group respiratory health status can be quantitatively collected, analyzed, and stored for daily physiological signal detections as well as medical assistance." @default.
- W4309270007 created "2022-11-25" @default.
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- W4309270007 date "2022-10-13" @default.
- W4309270007 modified "2023-10-18" @default.
- W4309270007 title "A flexible wireless integrated microsystem for continuous respiration sensing and quantitative healthy status monitoring" @default.
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- W4309270007 doi "https://doi.org/10.1109/biocas54905.2022.9948585" @default.
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