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Effect of gait cycle selection on EMG analysis during walking in adults and children with gait pathology

Effect of gait cycle selection on EMG analysis during walking in adults and children with gait pathology
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.
electromyography (emg), footswitches, gait cycle
0966-6362
92-101
De Stefano, A.
103547f3-163d-4670-8839-1799a638e653
Burridge, J.H.
0110e9ea-0884-4982-a003-cb6307f38f64
Yule, V.T.
4cfba275-748d-4ed6-951a-4822b14b25fc
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a
De Stefano, A.
103547f3-163d-4670-8839-1799a638e653
Burridge, J.H.
0110e9ea-0884-4982-a003-cb6307f38f64
Yule, V.T.
4cfba275-748d-4ed6-951a-4822b14b25fc
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a

De Stefano, A., Burridge, J.H., Yule, V.T. and Allen, R. (2004) Effect of gait cycle selection on EMG analysis during walking in adults and children with gait pathology. Gait & Posture, 20 (1), 92-101. (doi:10.1016/S0966-6362(03)00099-7).

Record type: Article

Abstract

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.

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More information

Published date: August 2004
Keywords: electromyography (emg), footswitches, gait cycle

Identifiers

Local EPrints ID: 10954
URI: https://eprints.soton.ac.uk/id/eprint/10954
ISSN: 0966-6362
PURE UUID: 951c6368-5a0b-4dfc-be8c-d1c8f4d3f5cb
ORCID for J.H. Burridge: ORCID iD orcid.org/0000-0003-3497-6725

Catalogue record

Date deposited: 13 May 2005
Last modified: 06 Jun 2018 12:59

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