This study aimed to evaluate the utility of sample entropy (SampEn) of surface
electromyographic signals (sEMG) in quantifying neuromuscular changes after spinal cord …

The objective of this paper was to develop sample entropy (SampEn) as a novel surface
electromyogram (EMG) biomarker to quantitatively examine post-stroke neuromuscular …

Spinal cord injury (SCI) resulting in complex neuromuscular pathology is not sufficiently well
understood. To better quantify neuromuscular changes after SCI, this study uses a clustering …

Background Spatial filtering of multi-channel signals is considered to be an effective pre-
processing approach for improving signal-to-noise ratio. The use of spatial filtering for …

Objective. This study explored the feasibility of detecting hidden muscle activity in surface
electromyogram (EMG) baseline. Approach. Power spectral density (PSD) analysis and …

Background: Multiple sclerosis (MS) is a progressive and neurodegenerative disease of the
central nervous system. Its symptoms vary greatly, which makes its diagnosis complex …

Background Most of the objective and quantitative methods proposed for spasticity
measurement are not suitable for clinical application, and methods for surface …

The objective of this study was to investigate the effects of muscle fatigue on the multi-scale
entropy of surface electromyography (EMG) in children with cerebral palsy (CP) and typical …

An efficient analytical method for electromyogram (EMG) signals is of great significance to
research the inherent mechanism of a motor-control system. In this paper, we proposed an …

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