Printed, Wireless, Soft Bioelectronics and Deep Learning Algorithm for Smart Human-Machine Interfaces

Recent advances in flexible materials and wearable electronics offer a noninvasive, high-fidelity recording of biopotentials for portable healthcare, disease diagnosis, and machine interfaces. Current device-manufacturing methods, however, still heavily rely on the conventional cleanroom microfabric...

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Bibliographic Details

Published in:	ACS applied materials & interfaces Vol. 12; no. 44; p. 49398
Main Authors:	Kwon, Young-Tae, Kim, Hojoong, Mahmood, Musa, Kim, Yun-Soung, Demolder, Carl, Yeo, Woon-Hong
Format:	Journal Article
Language:	English
Published:	United States 04.11.2020
Subjects:	Algorithms Deep Learning Electronics Humans Nanotechnology Particle Size Surface Properties Wearable Electronic Devices deep learning algorithm additive nanomanufacturing printed bioelectronics electromyograms (EMGs) human−machine interface
ISSN:	1944-8252, 1944-8252
Online Access:	Get more information
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