Effect of gait cycle selection on EMG analysis during walking in adults and children with gait pathology.
This paper presents the results of a project to evaluate different methods of gait cycle selection on the analysis of electromyography recorded during gait. Electromyography (EMG) describes the electrical activity associated with the muscle and is often interpreted in gait analysis using a simultaneously obtained signal to identify phases of the gait cycle. Phase transitions are often selected manually from reference signals derived from additional instrumentation, such as pressure platforms, footswitches and video cameras. We propose two methods (automatic and semi-automatic) as an alternative to the more traditional manual selection, and analyse how the gait cycle selection affects the EMG analysis. To quantify the differences between the gait cycles obtained using each method and to classify each cycle, three indices have been introduced. The effect of the gait cycle selection has been evaluated with respect to the EMG step profiles and temporal gait descriptors. An asymptomatic adult, an asymptomatic child and two children with cerebral palsy were examined using telemetric EMG devices and pressure footswitches. The results obtained showed that the method of gait cycle selection did not have a major influence for the adult, but it altered considerably the analysis in the case of the children with cerebral palsy.
De Stefano
A
A
Institute of Sound and Vibration Research, University of Southampton Highfield, Southampton, SO17 1BJ, UK. ads@isvr.soton.ac.uk
Burridge
J H
JH
Yule
V T
VT
Allen
R
R
D000328:Adult; D000367:Age Factors; D001331:Automation; D002547:Cerebral Palsy / Q000175:diagnosis / Q000503:physiopathology; D002675:Child, Preschool; D004576:Electromyography / Q000379:methods*; D005684:Gait; D006801:Humans; D007223:Infant; D009069:Movement Disorders / Q000175:diagnosis* / Q000503:physiopathology; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D016138:Walking