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Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data
Muscle synergy analysis is an approach to understand the neurophysiological mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce the dimensionality of muscle control. The muscle synergy approach is also used to evaluate motor recovery and the evolution of the pati...
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Published in: | Sensors (Basel, Switzerland) Switzerland), 2020-08, Vol.20 (15), p.4297 |
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description | Muscle synergy analysis is an approach to understand the neurophysiological mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce the dimensionality of muscle control. The muscle synergy approach is also used to evaluate motor recovery and the evolution of the patients' motor performance both in single-session and longitudinal studies. Synergy-based assessments are subject to various sources of variability: natural trial-by-trial variability of performed movements, intrinsic characteristics of subjects that change over time (e.g., recovery, adaptation, exercise, etc.), as well as experimental factors such as different electrode positioning. These sources of variability need to be quantified in order to resolve challenges for the application of muscle synergies in clinical environments. The objective of this study is to analyze the stability and similarity of extracted muscle synergies under the effect of factors that may induce variability, including inter- and intra-session variability within subjects and inter-subject variability differentiation. The analysis was performed using the comprehensive, publicly available hand grasp NinaPro Database, featuring surface electromyography (EMG) measures from two EMG electrode bracelets.
Intra-session, inter-session, and inter-subject synergy stability was analyzed using the following measures: variance accounted for (VAF) and number of synergies (NoS) as measures of reconstruction stability quality and cosine similarity for comparison of spatial composition of extracted synergies. Moreover, an approach based on virtual electrode repositioning was applied to shed light on the influence of electrode position on inter-session synergy similarity.
Inter-session synergy similarity was significantly lower with respect to intra-session similarity, both considering coefficient of variation of VAF (approximately 0.2-15% for inter vs. approximately 0.1% to 2.5% for intra, depending on NoS) and coefficient of variation of NoS (approximately 6.5-14.5% for inter vs. approximately 3-3.5% for intra, depending on VAF) as well as synergy similarity (approximately 74-77% for inter vs. approximately 88-94% for intra, depending on the selected VAF). Virtual electrode repositioning revealed that a slightly different electrode position can lower similarity of synergies from the same session and can increase similarity between sessions. Finally, the similarity of inter-subject synergies has no significa |
doi_str_mv | 10.3390/s20154297 |
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Intra-session, inter-session, and inter-subject synergy stability was analyzed using the following measures: variance accounted for (VAF) and number of synergies (NoS) as measures of reconstruction stability quality and cosine similarity for comparison of spatial composition of extracted synergies. Moreover, an approach based on virtual electrode repositioning was applied to shed light on the influence of electrode position on inter-session synergy similarity.
Inter-session synergy similarity was significantly lower with respect to intra-session similarity, both considering coefficient of variation of VAF (approximately 0.2-15% for inter vs. approximately 0.1% to 2.5% for intra, depending on NoS) and coefficient of variation of NoS (approximately 6.5-14.5% for inter vs. approximately 3-3.5% for intra, depending on VAF) as well as synergy similarity (approximately 74-77% for inter vs. approximately 88-94% for intra, depending on the selected VAF). Virtual electrode repositioning revealed that a slightly different electrode position can lower similarity of synergies from the same session and can increase similarity between sessions. Finally, the similarity of inter-subject synergies has no significant difference from the similarity of inter-session synergies (both on average approximately 84-90% depending on selected VAF).
Synergy similarity was lower in inter-session conditions with respect to intra-session. This finding should be considered when interpreting results from multi-session assessments. Lastly, electrode positioning might play an important role in the lower similarity of synergies over different sessions.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s20154297</identifier><identifier>PMID: 32752155</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Activities of Daily Living ; Adult ; Assessments ; Biomechanical Phenomena ; Central nervous system ; Coefficient of variation ; Correlation analysis ; Datasets ; Electrodes ; Electromyography ; Female ; Hand ; hand grasps ; Hand Strength ; Humans ; inter-session ; intra-session ; Male ; muscle synergies ; Muscle, Skeletal ; Muscles ; Patients ; Recording equipment ; Similarity ; Stability analysis ; variability ; virtual electrode repositioning ; Young Adult</subject><ispartof>Sensors (Basel, Switzerland), 2020-08, Vol.20 (15), p.4297</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c535t-ae55dbd450952054930492bc053325a2a8891ee91a9eac9c6f1e6ab771cfb0483</citedby><cites>FETCH-LOGICAL-c535t-ae55dbd450952054930492bc053325a2a8891ee91a9eac9c6f1e6ab771cfb0483</cites><orcidid>0000-0001-5397-2063 ; 0000-0001-6800-9878 ; 0000-0002-1896-9325</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2430612027/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2430612027?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32752155$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pale, Una</creatorcontrib><creatorcontrib>Atzori, Manfredo</creatorcontrib><creatorcontrib>Müller, Henning</creatorcontrib><creatorcontrib>Scano, Alessandro</creatorcontrib><title>Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data</title><title>Sensors (Basel, Switzerland)</title><addtitle>Sensors (Basel)</addtitle><description>Muscle synergy analysis is an approach to understand the neurophysiological mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce the dimensionality of muscle control. The muscle synergy approach is also used to evaluate motor recovery and the evolution of the patients' motor performance both in single-session and longitudinal studies. Synergy-based assessments are subject to various sources of variability: natural trial-by-trial variability of performed movements, intrinsic characteristics of subjects that change over time (e.g., recovery, adaptation, exercise, etc.), as well as experimental factors such as different electrode positioning. These sources of variability need to be quantified in order to resolve challenges for the application of muscle synergies in clinical environments. The objective of this study is to analyze the stability and similarity of extracted muscle synergies under the effect of factors that may induce variability, including inter- and intra-session variability within subjects and inter-subject variability differentiation. The analysis was performed using the comprehensive, publicly available hand grasp NinaPro Database, featuring surface electromyography (EMG) measures from two EMG electrode bracelets.
Intra-session, inter-session, and inter-subject synergy stability was analyzed using the following measures: variance accounted for (VAF) and number of synergies (NoS) as measures of reconstruction stability quality and cosine similarity for comparison of spatial composition of extracted synergies. Moreover, an approach based on virtual electrode repositioning was applied to shed light on the influence of electrode position on inter-session synergy similarity.
Inter-session synergy similarity was significantly lower with respect to intra-session similarity, both considering coefficient of variation of VAF (approximately 0.2-15% for inter vs. approximately 0.1% to 2.5% for intra, depending on NoS) and coefficient of variation of NoS (approximately 6.5-14.5% for inter vs. approximately 3-3.5% for intra, depending on VAF) as well as synergy similarity (approximately 74-77% for inter vs. approximately 88-94% for intra, depending on the selected VAF). Virtual electrode repositioning revealed that a slightly different electrode position can lower similarity of synergies from the same session and can increase similarity between sessions. Finally, the similarity of inter-subject synergies has no significant difference from the similarity of inter-session synergies (both on average approximately 84-90% depending on selected VAF).
Synergy similarity was lower in inter-session conditions with respect to intra-session. This finding should be considered when interpreting results from multi-session assessments. Lastly, electrode positioning might play an important role in the lower similarity of synergies over different sessions.</description><subject>Activities of Daily Living</subject><subject>Adult</subject><subject>Assessments</subject><subject>Biomechanical Phenomena</subject><subject>Central nervous system</subject><subject>Coefficient of variation</subject><subject>Correlation analysis</subject><subject>Datasets</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>Female</subject><subject>Hand</subject><subject>hand grasps</subject><subject>Hand Strength</subject><subject>Humans</subject><subject>inter-session</subject><subject>intra-session</subject><subject>Male</subject><subject>muscle synergies</subject><subject>Muscle, Skeletal</subject><subject>Muscles</subject><subject>Patients</subject><subject>Recording equipment</subject><subject>Similarity</subject><subject>Stability analysis</subject><subject>variability</subject><subject>virtual electrode repositioning</subject><subject>Young Adult</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkU2LFDEQhoMo7oce_AMS8KKH1nxOOh6EZdXdgRUPq4KnUJ1Ujxl6OmPSLcy_325nHHY9pUg9PHkrRcgLzt5Kadm7IhjXSljziJxyJVRVC8Ee36tPyFkpa8aElLJ-Sk6kMFpwrU_Jzx-QIzSxi8OOppZ-GYvvkN7uesyriIXGnl5DH-hVhrIt7-lFD92uxDLDy37IUNG5PZWYq1ssJaaefoQBnpEnLXQFnx_Oc_L986dvl9fVzder5eXFTeW11EMFqHVogtLMasG0spIpKxrPtJRCg4C6thzRcrAI3vpFy3EBjTHctw1TtTwny703JFi7bY4byDuXILq_FymvHOQhTlM5w3xoVYNaBaWYtLUNjQ1GYj09Y9rF5Pqwd23HZoPB4zxg90D6sNPHX26V_jijpJa1mQSvD4Kcfo9YBreJxWPXQY9pLE4oyRbKMD3nfvUfuk5jnn73QHHBxCx8s6d8TqVkbI9hOHPz8t1x-RP78n76I_lv2_IO2RaoFA</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Pale, Una</creator><creator>Atzori, Manfredo</creator><creator>Müller, Henning</creator><creator>Scano, Alessandro</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5397-2063</orcidid><orcidid>https://orcid.org/0000-0001-6800-9878</orcidid><orcidid>https://orcid.org/0000-0002-1896-9325</orcidid></search><sort><creationdate>20200801</creationdate><title>Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data</title><author>Pale, Una ; Atzori, Manfredo ; Müller, Henning ; Scano, Alessandro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c535t-ae55dbd450952054930492bc053325a2a8891ee91a9eac9c6f1e6ab771cfb0483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Activities of Daily Living</topic><topic>Adult</topic><topic>Assessments</topic><topic>Biomechanical Phenomena</topic><topic>Central nervous system</topic><topic>Coefficient of variation</topic><topic>Correlation analysis</topic><topic>Datasets</topic><topic>Electrodes</topic><topic>Electromyography</topic><topic>Female</topic><topic>Hand</topic><topic>hand grasps</topic><topic>Hand Strength</topic><topic>Humans</topic><topic>inter-session</topic><topic>intra-session</topic><topic>Male</topic><topic>muscle synergies</topic><topic>Muscle, Skeletal</topic><topic>Muscles</topic><topic>Patients</topic><topic>Recording equipment</topic><topic>Similarity</topic><topic>Stability analysis</topic><topic>variability</topic><topic>virtual electrode repositioning</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pale, Una</creatorcontrib><creatorcontrib>Atzori, Manfredo</creatorcontrib><creatorcontrib>Müller, Henning</creatorcontrib><creatorcontrib>Scano, Alessandro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pale, Una</au><au>Atzori, Manfredo</au><au>Müller, Henning</au><au>Scano, Alessandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><addtitle>Sensors (Basel)</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>20</volume><issue>15</issue><spage>4297</spage><pages>4297-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>Muscle synergy analysis is an approach to understand the neurophysiological mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce the dimensionality of muscle control. The muscle synergy approach is also used to evaluate motor recovery and the evolution of the patients' motor performance both in single-session and longitudinal studies. Synergy-based assessments are subject to various sources of variability: natural trial-by-trial variability of performed movements, intrinsic characteristics of subjects that change over time (e.g., recovery, adaptation, exercise, etc.), as well as experimental factors such as different electrode positioning. These sources of variability need to be quantified in order to resolve challenges for the application of muscle synergies in clinical environments. The objective of this study is to analyze the stability and similarity of extracted muscle synergies under the effect of factors that may induce variability, including inter- and intra-session variability within subjects and inter-subject variability differentiation. The analysis was performed using the comprehensive, publicly available hand grasp NinaPro Database, featuring surface electromyography (EMG) measures from two EMG electrode bracelets.
Intra-session, inter-session, and inter-subject synergy stability was analyzed using the following measures: variance accounted for (VAF) and number of synergies (NoS) as measures of reconstruction stability quality and cosine similarity for comparison of spatial composition of extracted synergies. Moreover, an approach based on virtual electrode repositioning was applied to shed light on the influence of electrode position on inter-session synergy similarity.
Inter-session synergy similarity was significantly lower with respect to intra-session similarity, both considering coefficient of variation of VAF (approximately 0.2-15% for inter vs. approximately 0.1% to 2.5% for intra, depending on NoS) and coefficient of variation of NoS (approximately 6.5-14.5% for inter vs. approximately 3-3.5% for intra, depending on VAF) as well as synergy similarity (approximately 74-77% for inter vs. approximately 88-94% for intra, depending on the selected VAF). Virtual electrode repositioning revealed that a slightly different electrode position can lower similarity of synergies from the same session and can increase similarity between sessions. Finally, the similarity of inter-subject synergies has no significant difference from the similarity of inter-session synergies (both on average approximately 84-90% depending on selected VAF).
Synergy similarity was lower in inter-session conditions with respect to intra-session. This finding should be considered when interpreting results from multi-session assessments. Lastly, electrode positioning might play an important role in the lower similarity of synergies over different sessions.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32752155</pmid><doi>10.3390/s20154297</doi><orcidid>https://orcid.org/0000-0001-5397-2063</orcidid><orcidid>https://orcid.org/0000-0001-6800-9878</orcidid><orcidid>https://orcid.org/0000-0002-1896-9325</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Activities of Daily Living Adult Assessments Biomechanical Phenomena Central nervous system Coefficient of variation Correlation analysis Datasets Electrodes Electromyography Female Hand hand grasps Hand Strength Humans inter-session intra-session Male muscle synergies Muscle, Skeletal Muscles Patients Recording equipment Similarity Stability analysis variability virtual electrode repositioning Young Adult |
title | Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data |
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