Finger Angle Estimation From Array EMG System Using Linear Regression Model With Independent Component Analysis

Finger Angle Estimation From Array EMG System Using Linear Regression Model With Independent Component Analysis

Surface ElectroMyoGraphy (EMG) signals from the forearm used in prosthetic hand and finger control systems require precise anatomy data of finger muscles that are small and located deep within the forearm. The main problem of this method is that the signal quality depends on the placement of EMG sen...

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Bibliographic Details
Main Authors: Sorawit Stapornchaisit, Yeongdae Kim, Atsushi Takagi, Natsue Yoshimura, Yasuharu Koike
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Neurorobotics
Subjects:
array EMG system
multichannel surface EMG
musculoskeletal models
surface ElectroMyoGraphy (EMG)
adaptive mixture ICA (AMICA)
finger motion
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2019.00075/full

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https://www.frontiersin.org/article/10.3389/fnbot.2019.00075/full

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