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An approach for improving repeatability and reliability of non-negative matrix factorization for muscle synergy analysis
Abstract The aim of this study was to evaluate non-negative matrix factorization (NMF) and concatenated NMF (CNMF) to analyze and reliably extract muscle synergies. NMF and CNMF were used to extract knee joint muscle synergies from surface EMGs collected during a weight bearing, force matching task....
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Published in: | Journal of electromyography and kinesiology 2016-02, Vol.26, p.36-43 |
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container_title | Journal of electromyography and kinesiology |
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creator | Shourijeh, Mohammad S Flaxman, Teresa E Benoit, Daniel L |
description | Abstract The aim of this study was to evaluate non-negative matrix factorization (NMF) and concatenated NMF (CNMF) to analyze and reliably extract muscle synergies. NMF and CNMF were used to extract knee joint muscle synergies from surface EMGs collected during a weight bearing, force matching task. Repeatability and between subject similarity were evaluated for each method using intra-class correlation coefficients (ICCs). High repeatability was found for CNMF (>0.99; 0.99–1.0) compared to NMF (>0.26; range 0.26–0.98). Reasonable consistency across subjects was improved using the CNMF over the NMF approach. CNMF was found to be a more reliable approach than NMF and suitable for between subject comparison of muscle synergies. |
doi_str_mv | 10.1016/j.jelekin.2015.12.001 |
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NMF and CNMF were used to extract knee joint muscle synergies from surface EMGs collected during a weight bearing, force matching task. Repeatability and between subject similarity were evaluated for each method using intra-class correlation coefficients (ICCs). High repeatability was found for CNMF (>0.99; 0.99–1.0) compared to NMF (>0.26; range 0.26–0.98). Reasonable consistency across subjects was improved using the CNMF over the NMF approach. CNMF was found to be a more reliable approach than NMF and suitable for between subject comparison of muscle synergies.</description><identifier>ISSN: 1050-6411</identifier><identifier>EISSN: 1873-5711</identifier><identifier>DOI: 10.1016/j.jelekin.2015.12.001</identifier><identifier>PMID: 26755163</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Adult ; Algorithms ; Electromyography ; Electromyography - methods ; Electromyography - standards ; Humans ; Knee ; Male ; Muscle synergy ; Muscle, Skeletal - physiology ; Non-negative matrix factorization ; Physical Medicine and Rehabilitation ; Repeatability ; Reproducibility of Results ; Robustness ; Weight-Bearing - physiology ; Young Adult</subject><ispartof>Journal of electromyography and kinesiology, 2016-02, Vol.26, p.36-43</ispartof><rights>Elsevier Ltd</rights><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. 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NMF and CNMF were used to extract knee joint muscle synergies from surface EMGs collected during a weight bearing, force matching task. Repeatability and between subject similarity were evaluated for each method using intra-class correlation coefficients (ICCs). High repeatability was found for CNMF (>0.99; 0.99–1.0) compared to NMF (>0.26; range 0.26–0.98). Reasonable consistency across subjects was improved using the CNMF over the NMF approach. CNMF was found to be a more reliable approach than NMF and suitable for between subject comparison of muscle synergies.</description><subject>Adult</subject><subject>Algorithms</subject><subject>Electromyography</subject><subject>Electromyography - methods</subject><subject>Electromyography - standards</subject><subject>Humans</subject><subject>Knee</subject><subject>Male</subject><subject>Muscle synergy</subject><subject>Muscle, Skeletal - physiology</subject><subject>Non-negative matrix factorization</subject><subject>Physical Medicine and Rehabilitation</subject><subject>Repeatability</subject><subject>Reproducibility of Results</subject><subject>Robustness</subject><subject>Weight-Bearing - physiology</subject><subject>Young Adult</subject><issn>1050-6411</issn><issn>1873-5711</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFUk1v1DAQtRCIlsJPAOXIJcETx_m4gKoKaKVKHICz5diTxaljL3ayavj1ON0tBy49zYfee6OZN4S8BVoAhfrDWIxo8c64oqTACygLSuEZOYe2YTlvAJ6nnHKa1xXAGXkV45gADW3pS3JW1g3nULNzcn_pMrnfBy_Vr2zwITNTKg7G7bKAe5Sz7I0185pJp1PHmsfaD5nzLne4k7M5YDbJOZj7bJBq9sH8SU3vHgSnJSqLWVwdht2mI-0aTXxNXgzSRnxzihfk55fPP66u89tvX2-uLm9zxUs2521Pq4rWqtGsqzVXnGGvVdVWA7aMNt3Q6hJUIzsNVJV8YLQvu45Vemi7XgNjF-T9UTet9XvBOIvJRIXWSod-iQJagI62rKNPQ5ua86aDB1V-hKrgYww4iH0wkwyrACo2f8QoTv6IzR8BpUjnT7x3pxFLP6H-x3o0JAE-HQGYbnIwGERUBp1CbQKqWWhvnhzx8T8FZY0zSto7XDGOfgnJgrSNiIkgvm9Psv0IcEpLVnH2F2Kvuq4</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Shourijeh, Mohammad S</creator><creator>Flaxman, Teresa E</creator><creator>Benoit, Daniel L</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>7X8</scope><scope>7TS</scope></search><sort><creationdate>20160201</creationdate><title>An approach for improving repeatability and reliability of non-negative matrix factorization for muscle synergy analysis</title><author>Shourijeh, Mohammad S ; Flaxman, Teresa E ; Benoit, Daniel L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c523t-8b04406c7d396d5c53ebdc484fe83079f8d21c7a9d10c25f30b29934df89bd133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>Electromyography</topic><topic>Electromyography - methods</topic><topic>Electromyography - standards</topic><topic>Humans</topic><topic>Knee</topic><topic>Male</topic><topic>Muscle synergy</topic><topic>Muscle, Skeletal - physiology</topic><topic>Non-negative matrix factorization</topic><topic>Physical Medicine and Rehabilitation</topic><topic>Repeatability</topic><topic>Reproducibility of Results</topic><topic>Robustness</topic><topic>Weight-Bearing - physiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shourijeh, Mohammad S</creatorcontrib><creatorcontrib>Flaxman, Teresa E</creatorcontrib><creatorcontrib>Benoit, Daniel L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Physical Education Index</collection><jtitle>Journal of electromyography and kinesiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shourijeh, Mohammad S</au><au>Flaxman, Teresa E</au><au>Benoit, Daniel L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An approach for improving repeatability and reliability of non-negative matrix factorization for muscle synergy analysis</atitle><jtitle>Journal of electromyography and kinesiology</jtitle><addtitle>J Electromyogr Kinesiol</addtitle><date>2016-02-01</date><risdate>2016</risdate><volume>26</volume><spage>36</spage><epage>43</epage><pages>36-43</pages><issn>1050-6411</issn><eissn>1873-5711</eissn><abstract>Abstract The aim of this study was to evaluate non-negative matrix factorization (NMF) and concatenated NMF (CNMF) to analyze and reliably extract muscle synergies. NMF and CNMF were used to extract knee joint muscle synergies from surface EMGs collected during a weight bearing, force matching task. Repeatability and between subject similarity were evaluated for each method using intra-class correlation coefficients (ICCs). High repeatability was found for CNMF (>0.99; 0.99–1.0) compared to NMF (>0.26; range 0.26–0.98). Reasonable consistency across subjects was improved using the CNMF over the NMF approach. CNMF was found to be a more reliable approach than NMF and suitable for between subject comparison of muscle synergies.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>26755163</pmid><doi>10.1016/j.jelekin.2015.12.001</doi><tpages>8</tpages></addata></record> |
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subjects | Adult Algorithms Electromyography Electromyography - methods Electromyography - standards Humans Knee Male Muscle synergy Muscle, Skeletal - physiology Non-negative matrix factorization Physical Medicine and Rehabilitation Repeatability Reproducibility of Results Robustness Weight-Bearing - physiology Young Adult |
title | An approach for improving repeatability and reliability of non-negative matrix factorization for muscle synergy analysis |
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