Article ID Journal Published Year Pages File Type
4973528 Biomedical Signal Processing and Control 2017 10 Pages PDF
Abstract

•Surface and indwelling EMG spike shape measures of the biceps brachii change in parallel up to 50% of maximal force.•Electrode-source distance and spike threshold affect the pattern of change in EMG for frequency but not amplitude measures.•Surface EMG spike shape analysis can track changes by recruitment and rate-coding up to 50% of maximal force.

IntroductionThe ability of surface and needle electromyographic (EMG) spike shape measures to match changes in motor unit recruitment, firing rate, and synchronization during force gradation, were compared. The purpose of the study was to determine the force level at which the surface EMG spike shape measures no longer parallel their indwelling analogues. Secondarily, the impact of the noise rejection criterion on the sensitivity of the spike shape measures was examined.MethodsMaximal isometric elbow flexion ramp contractions were performed while recording surface and needle EMG from the biceps brachii. Spike shape measures were calculated in 500 ms epochs over the duration of the ramp contraction. The spike threshold for needle EMG spike detection was varied to examine the effect of the algorithm's selectivity. The pattern of change across force levels between surface and needle EMG measures was compared.ResultsSpike detection resulted in the same pattern of change for both surface and needle amplitude measures over the gradation of force. Frequency measures and mean number of peaks per spike (MNPPS) were affected by electrode-source distance and spike threshold. Surface and needle frequency measures changed in parallel to 50% MVC while the MNPPS plateaued at 50-55% MVC.DiscussionSpike shape analysis of surface EMG can track changes in the interference pattern produced by recruitment and rate-coding up to 50% MVC.

Graphical abstractDownload high-res image (160KB)Download full-size image

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
Authors
, , ,