| Effect of electrocardiographic contamination on surface electromyography assessment of back muscles. | |
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MedLine Citation:
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PMID: 17716916 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The purpose of this study was to demonstrate the relative effect of electrocardiography (ECG) on back muscle surface electromyography (SEMG) parameters and their corresponding sensitivity in low back pain (LBP) assessment. Back muscle SEMG activities were recorded from 17 healthy subjects and 18 chronic LBP patients under static postures (straight sitting and upright standing), and dynamic action (flexion-extension). ECG cancellation based on independent component analysis (ICA) method was performed. Root mean square (RMS) and median frequency (MF) of raw and denoised SEMG data were computed respectively. Multiple comparisons were then performed. A consistent trend of change (increased MF and decreased RMS) followed ECG removal was noticed. In particular, in SEMG measurements under static postures, a significant decrease in RMS (p<0.05) and increase in MF (p<0.05) were found in all recording muscle groups. Level of corruption by ECG artifacts on SEMG measurements was found to be more serious and prominent in static postures than that in dynamic action. After ECG removal, significant improvements in the ability of SEMG to discriminate LBP patients from healthy subjects were seen in RMS amplitude recorded while standing (p<0.05) and MF in all measuring conditions (p<0.05). This study provides a more complete understanding on the relative effect of ECG contamination on back muscles SEMG parameters and LBP assessment. |
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Authors:
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Yong Hu; Joseph N F Mak; Keith D K Luk |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2007-08-22 |
Journal Detail:
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Title: Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Volume: 19 ISSN: 1050-6411 ISO Abbreviation: J Electromyogr Kinesiol Publication Date: 2009 Feb |
Date Detail:
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Created Date: 2008-11-17 Completed Date: 2009-04-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9109125 Medline TA: J Electromyogr Kinesiol Country: England |
Other Details:
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Languages: eng Pagination: 145-56 Citation Subset: IM |
Affiliation:
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Department of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong. yhud@hkusua.hku.hk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Artifacts* Back Chronic Disease Electrocardiography* Electromyography* Humans Low Back Pain / physiopathology* Male Muscle, Skeletal / physiology, physiopathology* Posture |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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