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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Dades bibliogràfiques
Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Matèries:	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 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
Accés en línia:	ONIX_20230511_9783036572048_54
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Sumari:	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 timing of muscle activity and approaches to evaluate muscle fatigue and analyze muscle synergies and co-contractions. Applications of these techniques are explored in different medical scenarios, e.g., for the benefit of patients suffering from low back pain, stroke survivors, and patients requiring polysomnography.

Electromyography Signal Acquisition and Processing for Movement Analysis

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