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Electromyography Signal Acquisition and Processing for Movement Analysis

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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

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