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Electromyography Signal Acquisition and Processing for Movement Analysis

This reprint focuses on recent advances in the processing of surface electromyography (EMG) signals acquired during human movement, as well as on innovative approaches to sense muscle activity. A wide range of methods is examined, including machine learning techniques to detect the onset/offset timi...

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Corporate Authors:	Di Nardo, Francesco, Agostini, Valentina, Conforto, Silvia
格式:	Livro
語言:	Inglês
出版:	MDPI - Multidisciplinary Digital Publishing Institute 2023
主題:	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology gait locomotion motor module number of synergies VAF gait analysis EMG muscle activation patterns movement analysis muscle synergies sEMG stroke factor analysis neurorehabilitation MRC dynamometer strength mechanomyography piezoelectric sensor vibration sensor human-machine interface prosthetic control hand gesture recognition convolutional neural network electromyography polysomnography REM sleep without atonia REM sleep behavior disorder RBD parkinsonism Parkinson’s disease spectral power sitting balance trunk control ipsilesional arm MFRT fatiguing frequency-dependent lifting low back pain trunk muscle coactivation onset detection muscle activation machine learning neural networks surface EMG sEMG processing force estimation isometric contractions surface EMG signal co-contraction detection muscular synergies the time–frequency domain wavelet transform power spectral density spectral estimation techniques Welch method Burg method autoregressive model
在線閱讀:	https://directory.doabooks.org/handle/20.500.12854/100037
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Electromyography Signal Acquisition and Processing for Movement Analysis

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