| Time frequency based coherence analysis between EEG and EMG activities in fatigue duration. | |
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MedLine Citation:
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PMID: 20433051 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In voluntary movements, functional role of synchronized neuronal activity in the human motor system is important to detect and diagnose of the some diseases. In some previous studies, EEG signals and responses belong to an exercise are examined and an increased EEG activity reported in alpha frequency band. The reason of this is not clear whether a change is a direct result of the exhaustion or whether it is an adaptation. Time frequency based coherence analysis may be excellent tools to asses the fatigue stages. The experiment was planned with three fatigue stage and the cortical-muscular synchronizations were observed and examined. Simultaneously cortical electroencephalography (EEG) activities and electromyography (EMG) activities that are activated by phasic voluntary movements are recorded for 10 healthy young person and relation of the coherence between the signals are observed in time frequency domain. There is a decreasing significant coherence activity in third fatigue stage against to first and second fatigue stages. Time frequency based coherence analysis is a good method to explore motor cortex control of muscle activity in the fatigued persons. Time frequency based coherence analysis gives useful result for recordings of simultaneously cortical activity EEG and EMG during a phasic voluntary movement to determination of fatigue levels. |
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Authors:
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D Tuncel; A Dizibuyuk; M K Kiymik |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of medical systems Volume: 34 ISSN: 0148-5598 ISO Abbreviation: J Med Syst Publication Date: 2010 Apr |
Date Detail:
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Created Date: 2010-05-03 Completed Date: 2010-06-23 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7806056 Medline TA: J Med Syst Country: United States |
Other Details:
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Languages: eng Pagination: 131-8 Citation Subset: IM |
Affiliation:
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Faculty of Medicine Neurology Department, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Electroencephalography Electromyography Fatigue / physiopathology* Fourier Analysis Humans Models, Theoretical Motor Cortex / physiopathology* Movement Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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