Epidermally mounted sensors using triaxial accelerometers have been previously used to monitor physiological processes with the implementation of machine learning(ML)algorithm interfaces.The findings from these previo...Epidermally mounted sensors using triaxial accelerometers have been previously used to monitor physiological processes with the implementation of machine learning(ML)algorithm interfaces.The findings from these previous studies have established a strong foundation for the analysis of highresolution,intricate signals,typically through frequency domain conversion.In this study we integrate a wireless mechano-acoustic sensor with a multi-modal deep learning system for the real-time analysis of signals emitted by the laryngeal prominence area of the thyroid cartilage at frequency ranges up to 1 kHz.This interface provides real-time data visualization and communication with the ML server,creating a system that assesses severity of chronic obstructive pulmonary disease and analyzes the user’s speech patterns.展开更多
基金supported by the National Research Foundation of Korea grants funded by the Korean government(Ministry of Science and ICT)[NRF-2021R1A2C2093987]I.Y.C.acknowledges support in part by NRF grant RS-2023-00213455 funded by MSIT and IBS grant R015-D1supported by Samsung Electronics Co.,Ltd.Received:((will be filled in by the editorial staff))Revised:((will be filled in by the editorial staff))Published online:((will be filled in by the editorial staff)).
文摘Epidermally mounted sensors using triaxial accelerometers have been previously used to monitor physiological processes with the implementation of machine learning(ML)algorithm interfaces.The findings from these previous studies have established a strong foundation for the analysis of highresolution,intricate signals,typically through frequency domain conversion.In this study we integrate a wireless mechano-acoustic sensor with a multi-modal deep learning system for the real-time analysis of signals emitted by the laryngeal prominence area of the thyroid cartilage at frequency ranges up to 1 kHz.This interface provides real-time data visualization and communication with the ML server,creating a system that assesses severity of chronic obstructive pulmonary disease and analyzes the user’s speech patterns.
