Decomposition of electromyogram (EMG) provides a valuable means of obtaining motor unit recruitment and firing rate information. The feasibility of decomposing surface EMG signals into their constituent motor unit action potential (MUAP) trains using independent component analysis (ICA) was examined using simulated EMG data. Surface EMG signals detected with an array of nine electrodes were sim...

An analysis of the motor control information content made available with a neural-machine interface (NMI) in four subjects is presented in this study. We have developed a novel NMI-called targeted muscle reinnervation (TMR)-to improve the function of artificial arms for amputees. TMR involves transferring the residual amputated nerves to nonfunctional muscles in amputees. The reinnervated muscl...

Rainbow-K.Y. Law, Kevin-S.C. Kwong, Christina-W.Y. Hui-Chan Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong Introduction One of the main objectives of physical rehabilitation is to restore muscle strength. Clinical test of muscle strength is either performed by mechanical means or by manual technique. However, these methods have limitations. Firs...

This brief review examines some of the methods used to infer central control strategies from surface electromyogram (EMG) recordings. Among the many uses of the surface EMG in studying the neural control of movement, the review critically evaluates only some of the applications. The focus is on the relations between global features of the surface EMG and the underlying physiological processes. ...

PURPOSE Developing a real time method to estimate generation, extinction and propagation of muscle fibre action potentials from bi-dimensional and high density surface electromyogram (EMG). METHOD A multi-frame generalization of an optical flow technique including a source term is considered. A model describing generation, extinction and propagation of action potentials is fit to epochs of su...

26 Rectification of EMG signals is a common processing step used when performing EEG-EMG 27 coherence and EMG-EMG coherence. It is well known, however, that EMG rectification alters 28 the power spectrum of the recorded EMG signal (interference EMG). The purpose of this study 29 was to determine whether rectification of the EMG signal influences the capability to capture the 30 oscillatory inpu...

Accurate muscle activity onset detection is an essential prerequisite for many applications of surface electromyogram (EMG). This study presents an unsupervised EMG learning framework based on a sequential Gaussian mixture model (GMM) to detect muscle activity onsets. The distribution of the logarithmic power of EMG signal was characterized by a two-component GMM in each frequency band, in whic...