| Automatic analysis of EMG during clonus. | |
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MedLine Citation:
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PMID: 22057220 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Clonus can disrupt daily activities after spinal cord injury. Here an algorithm was developed to automatically detect contractions during clonus in 24h electromyographic (EMG) records. Filters were created by non-linearly scaling a Mother (Morlet) wavelet to envelope the EMG using different frequency bands. The envelope for the intermediate band followed the EMG best (74.8-193.9Hz). Threshold and time constraints were used to reduce the envelope peaks to one per contraction. Energy in the EMG was measured 50ms either side of each envelope (contraction) peak. Energy values at 5% and 95% maximal defined EMG start and end time, respectively. The algorithm was as good as a person at identifying contractions during clonus (p=0.946, n=31 spasms, 7 subjects with cervical spinal cord injury), and marking start and end times to determine clonus frequency (intra class correlation coefficient, α: 0.949), contraction intensity using root mean square EMG (α: 0.997) and EMG duration (α: 0.852). On average the algorithm was 574 times faster than manual analysis performed independently by two people (p≤0.001). This algorithm is an important tool for characterization of clonus in long-term EMG records. |
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Authors:
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Chaithanya K Mummidisetty; Jorge Bohorquez; Christine K Thomas |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-10-26 |
Journal Detail:
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Title: Journal of neuroscience methods Volume: - ISSN: 1872-678X ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-11-7 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7905558 Medline TA: J Neurosci Methods Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011. Published by Elsevier B.V. |
Affiliation:
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The Miami Project to Cure Paralysis, University of Miami MILLER School of Medicine, 1095 NW 14th Terrace, R48, Miami, FL 33136, USA; Department of Biomedical Engineering, University of Miami, P.O. Box 248294, Coral Gables, FL 33124, USA. |
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