| Classification of back muscle impairment based on the surface electromyographic signal. | |
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MedLine Citation:
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PMID: 9323644 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A surface electromyographic (EMG) procedure for classifying muscle impairments in persons with low back pain (LBP) is described. The procedure was studied using a device, the Back Analysis System (BAS), to acquire and process EMG signals from six bilateral muscle sites during sustained isometric contractions designed to progressively fatigue the lower back. Back muscle impairment was determined on the basis of the different ways in which the EMG median frequency parameters change as a function of contraction duration and muscle site. The article describes a series of studies that have been useful in developing an automated procedure for identifying back muscle impairment by comparing individual test results to a normative database. To date, the research results have produced multivariate discriminant functions that have identified two muscle impairment categories associated with deconditioning and imbalances secondary to LBP. We have found that the functions can distinguish individuals with and without LBP with an accuracy of approximately 90%. Other studies are described in which the technique is applied to monitoring changes in muscle performance capability that occur following rehabilitation for LBP. Many of our findings here are also compared to the results of independent studies by others using similar procedures. The need for further research and development of the technique to improve its clinical applicability is also described. |
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Authors:
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S H Roy; C J De Luca; M Emley; L I Oddsson; R J Buijs; J A Levins; D S Newcombe; J F Jabre |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Review |
Journal Detail:
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Title: Journal of rehabilitation research and development Volume: 34 ISSN: 0748-7711 ISO Abbreviation: J Rehabil Res Dev Publication Date: 1997 Oct |
Date Detail:
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Created Date: 1997-11-19 Completed Date: 1997-11-19 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8410047 Medline TA: J Rehabil Res Dev Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 405-14 Citation Subset: IM |
Affiliation:
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NeuroMuscular Research Center, Boston University, MA 02215, USA. sroy@bu.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Diagnosis, Computer-Assisted Electromyography / methods* Female Humans Isometric Contraction / physiology Low Back Pain / diagnosis, etiology, physiopathology* Male Muscle Fatigue Muscle, Skeletal / physiopathology* Muscular Diseases / classification*, physiopathology Reproducibility of Results Sensitivity and Specificity Software |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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