Evaluation of adaptive/nonadaptive filtering and wavelet transform techniques for noise reduction in EMG mobile acquisition equipment

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 11; no. 1; pp. 60 - 69
• Main Authors: Ortolan, R.L., Mori, R.N., Pereira, R.R., Cabral, C.M.N., Pereira, J.C., Cliquet, A.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2003
• Subjects: Adaptive filters; Algorithms; Control systems; Digital filters; Electromyography; Electromyography - methods; Feedback; Filtering; Finite impulse response filter; Humans; Monitoring, Ambulatory - methods; Movement; Muscle, Skeletal - physiology; Neuromuscular; Noise reduction; Prosthetics; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes; Wavelet transforms; Wrist Joint - physiology

The myoelectric signal can be used to control many rehabilitation systems, for instance, prostheses and artificial neuromuscular electrical stimulation toward restoring movement to spinal cord injured subjects. These mobile systems are usually used in different environments and thus are being expose...