The development of an advanced human–machine interface has always been an interesting
research topic in the field of rehabilitation, in which biomedical signals, such as myoelectric …

Despite the many reviews and research papers on the limitations of surface
electromyography (EMG), there are relatively few that address this issue by considering …

Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable
Hardware Chip (EHW) development, and modern human computer interaction. EMG signals …

Accurate identification of the onset of muscle activity is an important element in the
biomechanical analysis of human movement. The purpose of this study was to determine if …

High density-surface EMG (HD-sEMG) is a non-invasive technique to measure electrical
muscle activity with multiple (more than two) closely spaced electrodes overlying a restricted …

Background: In order to reduce the risk of work-related musculoskeletal disorders (WMSDs)
several methods have been developed, accepted by the international literature and used in …

Voluntary surface electromyogram (EMG) signal is sometimes contaminated by spurious
background spikes of both physiological and extrinsic or accidental origins. A novel method …

This study presents a novel method for detection of the onset time of muscle activity using
surface electromyogram (EMG) signals. The method takes advantage of the nonlinear …

BACKGROUND: Application of surface electromyography (SEMG) to the clinical evaluation
of neuromuscular disorders can provide relevant “diagnostic” contributions in terms of …

Electromyography (EMG) is a technique for recording biomedical electrical signals obtained
from the neuromuscular activities. These signals are used to monitor medical abnormalities …