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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Vydané v:	ACS applied materials & interfaces Ročník 12; číslo 44; s. 49398
Hlavní autori:	Kwon, Young-Tae, Kim, Hojoong, Mahmood, Musa, Kim, Yun-Soung, Demolder, Carl, Yeo, Woon-Hong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 04.11.2020
Predmet:	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
On-line prístup:	Zistit podrobnosti o prístupe
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