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Mechanoacoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch

Skin-mounted soft electronics incorporating high-bandwidth triaxial accelerometers can provide broad classes of physiologically relevant information, such as mechanoacoustic signatures of underlying body processes (such as those captured by a stethoscope) and precision kinematics of core body motion...

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Detalles Bibliográficos
Autores principales: Lee, KunHyuck, Ni, Xiaoyue, Lee, Jong Yoon, Arafa, Hany, Pe, David J., Xu, Shuai, Avila, Raudel, Irie, Masahiro, Lee, Joo Hee, Easterlin, Ryder L, Kim, Dong Hyun, Chung, Ha Uk, Olabisi, Omolara O, Getaneh, Selam, Chung, Esther, Hill, Marc, Bell, Jeremy, Jang, Hokyung, Liu, Claire, Park, Jun Bin, Kim, Jungwoo, Kim, Sung Bong, Mehta, Sunita, Pharr, Matt, Tzavelis, Andreas, Reeder, Jonathan T., Huang, Ivy, Deng, Yujun, Xie, Zhaoqian, Davies, Charles R., Huang, Yonggang, Rogers, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035153/
https://www.ncbi.nlm.nih.gov/pubmed/31768002
http://dx.doi.org/10.1038/s41551-019-0480-6
Descripción
Sumario:Skin-mounted soft electronics incorporating high-bandwidth triaxial accelerometers can provide broad classes of physiologically relevant information, such as mechanoacoustic signatures of underlying body processes (such as those captured by a stethoscope) and precision kinematics of core body motions. Here, we describe a wireless device designed to be conformally placed on the suprasternal notch for the continuous measurement of mechanoacoustic signals, from subtle vibrations of the skin at accelerations of ~10(−3) m·s(−2) to large motions of the entire body at ~10 m·s(−2), and at frequencies up to ~800 Hz. Because th measurements are a complex superposition of signals that arise from locomotion, body orientation, swallowing, respiration, cardiac activity, vocal-fold vibrations and other sources, we used frequency-domain analysis and machine learning to obtain, from human subjects during natural daily activities and exercise, real-time recordings of heart rate, respiration rate, energy intensity and other essential vital signs, as well as talking time and cadence, swallow counts and patterns, and other unconventional biomarkers. We also used the device in sleep laboratories, and validated the measurements via polysomnography.