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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Detalhes bibliográficos
Corporate Authors: Di Nardo, Francesco, Agostini, Valentina, Conforto, Silvia
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2023
Assuntos:
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
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/100037
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