Simulation analysis of interference EMG during fatiguing voluntary contractions. Part II – Changes in amplitude and spectral characteristics
Abstract Capabilities of amplitude and spectral methods for information extraction from interference EMG signals were assessed through simulation and preliminary experiment. Muscle was composed of 4 types of motor units (MUs). Different hypotheses on changes in firing frequency of individual MUs, in...
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| Veröffentlicht in: | Journal of electromyography and kinesiology 2008-02, Vol.18 (1), p.35-43 |
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| creator | Dimitrov, G.V Arabadzhiev, T.I Hogrel, J.-Y Dimitrova, N.A |
| description | Abstract Capabilities of amplitude and spectral methods for information extraction from interference EMG signals were assessed through simulation and preliminary experiment. Muscle was composed of 4 types of motor units (MUs). Different hypotheses on changes in firing frequency of individual MUs, intracellular action potential (IAP) and muscle fibre propagation velocity (MFPV) during fatigue were analyzed. It was found that changes in amplitude characteristics of interference signals (root mean square, RMS, or integrated rectified value, IEMG) detected by intramuscular and surface electrodes differed. RMS and IEMG of surface detected interference signals could increase even under MU firing rate reduction and without MU synchronisation. IAP profile lengthening can affect amplitude characteristics more significantly than MU firing frequency. Thus, an increase of interference EMG amplitude is unreliable to reflect changes in the neural drive. The ratio between EMG amplitude and contraction response can hardly characterise the so-called ‘neuromuscular efficiency’. The recently proposed spectral fatigue indices can be used for quantification of interference EMG signals. The indices are practically insensitive to MU firing frequency. IAP profile lengthening and decrease in MFPV enhanced the index value, while recruitment of fast fatigable MUs reduced it. Sensitivity of the indices was higher than that of indices traditionally used. |
| doi_str_mv | 10.1016/j.jelekin.2006.07.002 |
| format | Article |
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RMS and IEMG of surface detected interference signals could increase even under MU firing rate reduction and without MU synchronisation. IAP profile lengthening can affect amplitude characteristics more significantly than MU firing frequency. Thus, an increase of interference EMG amplitude is unreliable to reflect changes in the neural drive. The ratio between EMG amplitude and contraction response can hardly characterise the so-called ‘neuromuscular efficiency’. The recently proposed spectral fatigue indices can be used for quantification of interference EMG signals. The indices are practically insensitive to MU firing frequency. IAP profile lengthening and decrease in MFPV enhanced the index value, while recruitment of fast fatigable MUs reduced it. Sensitivity of the indices was higher than that of indices traditionally used.</description><identifier>ISSN: 1050-6411</identifier><identifier>EISSN: 1873-5711</identifier><identifier>DOI: 10.1016/j.jelekin.2006.07.002</identifier><identifier>PMID: 16963280</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Amplitude characteristics ; Central factors ; Computer Simulation - statistics & numerical data ; Electromyography - methods ; Electromyography - statistics & numerical data ; Humans ; Interference EMG ; Models, Biological ; Muscle Contraction - physiology ; Muscle fatigue ; Muscle Fatigue - physiology ; Muscle Fibers, Skeletal - physiology ; Muscle, Skeletal - physiology ; Peripheral factors ; Physical Medicine and Rehabilitation ; Signal Processing, Computer-Assisted ; Spectral characteristics</subject><ispartof>Journal of electromyography and kinesiology, 2008-02, Vol.18 (1), p.35-43</ispartof><rights>Elsevier Ltd</rights><rights>2006 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c449t-d052e189bf236e50de2e9a5bdb81f9152f218a701bd2a862e51f3ca3491544c33</citedby><cites>FETCH-LOGICAL-c449t-d052e189bf236e50de2e9a5bdb81f9152f218a701bd2a862e51f3ca3491544c33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jelekin.2006.07.002$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16963280$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dimitrov, G.V</creatorcontrib><creatorcontrib>Arabadzhiev, T.I</creatorcontrib><creatorcontrib>Hogrel, J.-Y</creatorcontrib><creatorcontrib>Dimitrova, N.A</creatorcontrib><title>Simulation analysis of interference EMG during fatiguing voluntary contractions. Part II – Changes in amplitude and spectral characteristics</title><title>Journal of electromyography and kinesiology</title><addtitle>J Electromyogr Kinesiol</addtitle><description>Abstract Capabilities of amplitude and spectral methods for information extraction from interference EMG signals were assessed through simulation and preliminary experiment. Muscle was composed of 4 types of motor units (MUs). Different hypotheses on changes in firing frequency of individual MUs, intracellular action potential (IAP) and muscle fibre propagation velocity (MFPV) during fatigue were analyzed. It was found that changes in amplitude characteristics of interference signals (root mean square, RMS, or integrated rectified value, IEMG) detected by intramuscular and surface electrodes differed. RMS and IEMG of surface detected interference signals could increase even under MU firing rate reduction and without MU synchronisation. IAP profile lengthening can affect amplitude characteristics more significantly than MU firing frequency. Thus, an increase of interference EMG amplitude is unreliable to reflect changes in the neural drive. The ratio between EMG amplitude and contraction response can hardly characterise the so-called ‘neuromuscular efficiency’. The recently proposed spectral fatigue indices can be used for quantification of interference EMG signals. The indices are practically insensitive to MU firing frequency. IAP profile lengthening and decrease in MFPV enhanced the index value, while recruitment of fast fatigable MUs reduced it. Sensitivity of the indices was higher than that of indices traditionally used.</description><subject>Amplitude characteristics</subject><subject>Central factors</subject><subject>Computer Simulation - statistics & numerical data</subject><subject>Electromyography - methods</subject><subject>Electromyography - statistics & numerical data</subject><subject>Humans</subject><subject>Interference EMG</subject><subject>Models, Biological</subject><subject>Muscle Contraction - physiology</subject><subject>Muscle fatigue</subject><subject>Muscle Fatigue - physiology</subject><subject>Muscle Fibers, Skeletal - physiology</subject><subject>Muscle, Skeletal - physiology</subject><subject>Peripheral factors</subject><subject>Physical Medicine and Rehabilitation</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Spectral characteristics</subject><issn>1050-6411</issn><issn>1873-5711</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFks1u1DAUhS0EoqXwCCCv2CVcO3_OBoRGbRmpCKTC2nLsm6lTxxnspNLseAI2vCFPgqMZCYlNV76SzzlXPp8Jec0gZ8Dqd0M-oMN763MOUOfQ5AD8CTlnoimyqmHsaZqhgqwuGTsjL2IcAFgDAp6TM1a3dcEFnJNft3ZcnJrt5Knyyh2ijXTqqfUzhh4Deo308vM1NUuwfkf7JN0t6_QwucXPKhyonvwclF4zYk6_qjDT7Zb--fmbbu6U32FMaVSNe2fnxWBaY2jco04eR_WdWq0YbJytji_Js165iK9O5wX5fnX5bfMpu_lyvd18vMl0WbZzZqDiyETb9byosQKDHFtVdaYTrG9ZxXvOhGqAdYYrUXOsWF9oVZTprix1UVyQt8fcfZh-LBhnOdqo0TnlcVqibIBDDU39qJC1hYBSlElYHYU6TDEG7OU-2DHVIxnIlZgc5ImYXIlJaGQilnxvTguWbkTzz3VClAQfjgJMfTxYDDJqu2IxNqQSpZnsoyve_5egnfVWK3ePB4zDtIREPr1FRi5B3q7fZv01qQEA0TbFX2R3we0</recordid><startdate>20080201</startdate><enddate>20080201</enddate><creator>Dimitrov, G.V</creator><creator>Arabadzhiev, T.I</creator><creator>Hogrel, J.-Y</creator><creator>Dimitrova, N.A</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>20080201</creationdate><title>Simulation analysis of interference EMG during fatiguing voluntary contractions. Part II – Changes in amplitude and spectral characteristics</title><author>Dimitrov, G.V ; Arabadzhiev, T.I ; Hogrel, J.-Y ; Dimitrova, N.A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c449t-d052e189bf236e50de2e9a5bdb81f9152f218a701bd2a862e51f3ca3491544c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Amplitude characteristics</topic><topic>Central factors</topic><topic>Computer Simulation - statistics & numerical data</topic><topic>Electromyography - methods</topic><topic>Electromyography - statistics & numerical data</topic><topic>Humans</topic><topic>Interference EMG</topic><topic>Models, Biological</topic><topic>Muscle Contraction - physiology</topic><topic>Muscle fatigue</topic><topic>Muscle Fatigue - physiology</topic><topic>Muscle Fibers, Skeletal - physiology</topic><topic>Muscle, Skeletal - physiology</topic><topic>Peripheral factors</topic><topic>Physical Medicine and Rehabilitation</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Spectral characteristics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dimitrov, G.V</creatorcontrib><creatorcontrib>Arabadzhiev, T.I</creatorcontrib><creatorcontrib>Hogrel, J.-Y</creatorcontrib><creatorcontrib>Dimitrova, N.A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of electromyography and kinesiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dimitrov, G.V</au><au>Arabadzhiev, T.I</au><au>Hogrel, J.-Y</au><au>Dimitrova, N.A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation analysis of interference EMG during fatiguing voluntary contractions. 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RMS and IEMG of surface detected interference signals could increase even under MU firing rate reduction and without MU synchronisation. IAP profile lengthening can affect amplitude characteristics more significantly than MU firing frequency. Thus, an increase of interference EMG amplitude is unreliable to reflect changes in the neural drive. The ratio between EMG amplitude and contraction response can hardly characterise the so-called ‘neuromuscular efficiency’. The recently proposed spectral fatigue indices can be used for quantification of interference EMG signals. The indices are practically insensitive to MU firing frequency. IAP profile lengthening and decrease in MFPV enhanced the index value, while recruitment of fast fatigable MUs reduced it. Sensitivity of the indices was higher than that of indices traditionally used.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>16963280</pmid><doi>10.1016/j.jelekin.2006.07.002</doi><tpages>9</tpages></addata></record> |
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| subjects | Amplitude characteristics Central factors Computer Simulation - statistics & numerical data Electromyography - methods Electromyography - statistics & numerical data Humans Interference EMG Models, Biological Muscle Contraction - physiology Muscle fatigue Muscle Fatigue - physiology Muscle Fibers, Skeletal - physiology Muscle, Skeletal - physiology Peripheral factors Physical Medicine and Rehabilitation Signal Processing, Computer-Assisted Spectral characteristics |
| title | Simulation analysis of interference EMG during fatiguing voluntary contractions. Part II – Changes in amplitude and spectral characteristics |
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