Wide‐Bandwidth Nanocomposite‐Sensor Integrated Smart Mask for Tracking Multiphase Respiratory Activities (Adv. Sci. 31/2022)

Smart Masks In article number 2203565 by Ho‐yin Chan, Xinge Yu, Jianping Wang, Wen Jung Li, and co‐workers, a “smart mask” is developed by using an ultrathin nanocomposite‐based soundwave sensor with high sensitivity and wide‐bandwidth dynamic range, i.e., integrated with machine/deep learning algor...

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Detalles Bibliográficos
Autores principales: Suo, Jiao, Liu, Yifan, Wu, Cong, Chen, Meng, Huang, Qingyun, Liu, Yiming, Yao, Kuanming, Chen, Yangbin, Pan, Qiqi, Chang, Xiaoyu, Leung, Alice Yeuk Lan, Chan, Ho‐yin, Zhang, Guanglie, Yang, Zhengbao, Daoud, Walid, Li, Xinyue, Roy, Vellaisamy A. L., Shen, Jiangang, Yu, Xinge, Wang, Jianping, Li, Wen Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Frontispiece
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631071/
http://dx.doi.org/10.1002/advs.202270200
Descripción
Sumario:Smart Masks In article number 2203565 by Ho‐yin Chan, Xinge Yu, Jianping Wang, Wen Jung Li, and co‐workers, a “smart mask” is developed by using an ultrathin nanocomposite‐based soundwave sensor with high sensitivity and wide‐bandwidth dynamic range, i.e., integrated with machine/deep learning algorithms, the smart mask can identify breath, two‐/tri‐phase coughs, and spoken words directly. The smart mask could be a new wearable Internet of Things device for personal health monitoring and respiratory disease identification tool in the future. [Image: see text]

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