The purpose of the study was to quantify the influence of selected motor unit properties and patterns of activity on amplitude cancellation in the simulated surface electromyogram (EMG). The study involved computer simulations of a motor unit population with physiologically defined recruitment and rate coding characteristics that activated muscle fibers whose potentials were recorded on the ski...

This work focuses on the development of a wearable power-assisted orthosis for nursing care as a health care device to reduce the physical burden on carers. The most important aspect of developing a power-assisted orthosis is that it reflects the orthosis wearer’s intentions, coordinating with the wearer’s voluntary movements. To realize this intention, our work focuses on a torque around a cub...

This brief review discusses the methods used to estimate the neural drive to muscles from the surface electromyogram (EMG). Surface EMG has been classically used to infer the neural activation of muscle by associating its amplitude with the number of action potentials discharged by a population of motor neurons. Although this approach is valuable in some applications, the amplitude of the surfa...

Electrical signals recorded from muscles require processing before its use, so the modeling of these bioelectric signals is necessary. Wavelets are used for the processing of signals that are non-stationary and time varying. The surface Electromyogram signals were estimated with following steps, first, the obtained signal was decomposed using wavelet transform; then, decomposed coefficients wer...

Identifying finger and wrist flexion based actions using single channel surface electromyogram have a number of rehabilitation, defence and human computer interface applications. These applications are currently infeasible because of unreliability in classification of sEMG when the level of muscle contraction is low and when there are multiple active muscles. The presence of noise and cross-tal...