EMG Validation of a Subject-Specific Thoracolumbar Spine Musculoskeletal Model During Dynamic Activities in Older Adults
Musculoskeletal models can uniquely estimate in vivo demands and injury risk. In this study, we aimed to compare muscle activations from subject-specific thoracolumbar spine OpenSim models with recorded muscle activity from electromyography (EMG) during five dynamic tasks. Specifically, 11 older adu...
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| Veröffentlicht in: | Annals of biomedical engineering 2023-10, Vol.51 (10), p.2313-2322 |
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| creator | Alemi, Mohammad Mehdi Banks, Jacob J. Lynch, Andrew C. Allaire, Brett T. Bouxsein, Mary L. Anderson, Dennis E. |
| description | Musculoskeletal models can uniquely estimate in vivo demands and injury risk. In this study, we aimed to compare muscle activations from subject-specific thoracolumbar spine OpenSim models with recorded muscle activity from electromyography (EMG) during five dynamic tasks. Specifically, 11 older adults (mean = 65 years, SD = 9) lifted a crate weighted to 10% of their body mass in axial rotation, 2-handed sagittal lift, 1-handed sagittal lift, and lateral bending, and simulated a window opening task. EMG measurements of back and abdominal muscles were directly compared to equivalent model-predicted activity for temporal similarity via maximum absolute normalized cross-correlation (MANCC) coefficients and for magnitude differences via root-mean-square errors (RMSE), across all combinations of participants, dynamic tasks, and muscle groups. We found that across most of the tasks the model reasonably predicted temporal behavior of back extensor muscles (median MANCC = 0.92 ± 0.07) but moderate temporal similarity was observed for abdominal muscles (median MANCC = 0.60 ± 0.20). Activation magnitude was comparable to previous modeling studies, and median RMSE was 0.18 ± 0.08 for back extensor muscles. Overall, these results indicate that our thoracolumbar spine model can be used to estimate subject-specific in vivo muscular activations for these dynamic lifting tasks. |
| doi_str_mv | 10.1007/s10439-023-03273-3 |
| format | Article |
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In this study, we aimed to compare muscle activations from subject-specific thoracolumbar spine OpenSim models with recorded muscle activity from electromyography (EMG) during five dynamic tasks. Specifically, 11 older adults (mean = 65 years, SD = 9) lifted a crate weighted to 10% of their body mass in axial rotation, 2-handed sagittal lift, 1-handed sagittal lift, and lateral bending, and simulated a window opening task. EMG measurements of back and abdominal muscles were directly compared to equivalent model-predicted activity for temporal similarity via maximum absolute normalized cross-correlation (MANCC) coefficients and for magnitude differences via root-mean-square errors (RMSE), across all combinations of participants, dynamic tasks, and muscle groups. We found that across most of the tasks the model reasonably predicted temporal behavior of back extensor muscles (median MANCC = 0.92 ± 0.07) but moderate temporal similarity was observed for abdominal muscles (median MANCC = 0.60 ± 0.20). Activation magnitude was comparable to previous modeling studies, and median RMSE was 0.18 ± 0.08 for back extensor muscles. Overall, these results indicate that our thoracolumbar spine model can be used to estimate subject-specific in vivo muscular activations for these dynamic lifting tasks.</description><identifier>ISSN: 0090-6964</identifier><identifier>ISSN: 1573-9686</identifier><identifier>EISSN: 1573-9686</identifier><identifier>DOI: 10.1007/s10439-023-03273-3</identifier><identifier>PMID: 37353715</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adults ; Aged ; Biochemistry ; Biological and Medical Physics ; Biomechanical Phenomena ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Body mass ; Classical Mechanics ; Cross correlation ; Electromyography ; Electromyography - methods ; Health risks ; Humans ; In vivo methods and tests ; Muscle, Skeletal - physiology ; Muscles ; Older people ; Original Article ; Rotating bodies ; Similarity ; Spine</subject><ispartof>Annals of biomedical engineering, 2023-10, Vol.51 (10), p.2313-2322</ispartof><rights>The Author(s) under exclusive licence to Biomedical Engineering Society 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s) under exclusive licence to Biomedical Engineering Society.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-aa335cb3973d83c0bf80c2d4dd10486aa8642687f295b85f19f251f1a6f026483</citedby><cites>FETCH-LOGICAL-c475t-aa335cb3973d83c0bf80c2d4dd10486aa8642687f295b85f19f251f1a6f026483</cites><orcidid>0000-0002-4257-3566</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10439-023-03273-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10439-023-03273-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,778,782,883,27911,27912,41475,42544,51306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37353715$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alemi, Mohammad Mehdi</creatorcontrib><creatorcontrib>Banks, Jacob J.</creatorcontrib><creatorcontrib>Lynch, Andrew C.</creatorcontrib><creatorcontrib>Allaire, Brett T.</creatorcontrib><creatorcontrib>Bouxsein, Mary L.</creatorcontrib><creatorcontrib>Anderson, Dennis E.</creatorcontrib><title>EMG Validation of a Subject-Specific Thoracolumbar Spine Musculoskeletal Model During Dynamic Activities in Older Adults</title><title>Annals of biomedical engineering</title><addtitle>Ann Biomed Eng</addtitle><addtitle>Ann Biomed Eng</addtitle><description>Musculoskeletal models can uniquely estimate in vivo demands and injury risk. In this study, we aimed to compare muscle activations from subject-specific thoracolumbar spine OpenSim models with recorded muscle activity from electromyography (EMG) during five dynamic tasks. Specifically, 11 older adults (mean = 65 years, SD = 9) lifted a crate weighted to 10% of their body mass in axial rotation, 2-handed sagittal lift, 1-handed sagittal lift, and lateral bending, and simulated a window opening task. EMG measurements of back and abdominal muscles were directly compared to equivalent model-predicted activity for temporal similarity via maximum absolute normalized cross-correlation (MANCC) coefficients and for magnitude differences via root-mean-square errors (RMSE), across all combinations of participants, dynamic tasks, and muscle groups. We found that across most of the tasks the model reasonably predicted temporal behavior of back extensor muscles (median MANCC = 0.92 ± 0.07) but moderate temporal similarity was observed for abdominal muscles (median MANCC = 0.60 ± 0.20). Activation magnitude was comparable to previous modeling studies, and median RMSE was 0.18 ± 0.08 for back extensor muscles. Overall, these results indicate that our thoracolumbar spine model can be used to estimate subject-specific in vivo muscular activations for these dynamic lifting tasks.</description><subject>Adults</subject><subject>Aged</subject><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomechanical Phenomena</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biophysics</subject><subject>Body mass</subject><subject>Classical Mechanics</subject><subject>Cross correlation</subject><subject>Electromyography</subject><subject>Electromyography - methods</subject><subject>Health risks</subject><subject>Humans</subject><subject>In vivo methods and tests</subject><subject>Muscle, Skeletal - physiology</subject><subject>Muscles</subject><subject>Older people</subject><subject>Original Article</subject><subject>Rotating bodies</subject><subject>Similarity</subject><subject>Spine</subject><issn>0090-6964</issn><issn>1573-9686</issn><issn>1573-9686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU9vFCEYh4nR2O3qF_BgSLx4GQXeGYY5mU1bW5NuetjqlTAMtKzsMMLQ2G8v69b65-AJEn7vw_vLg9ArSt5RQtr3iZIauoowqAiwFip4gha0KZeOC_4ULQjpSMU7Xh-h45S2hFAqoHmOjqCFBlraLND3s_U5_qK8G9TswoiDxQpvcr81eq42k9HOOo2vb0NUOvi861XEm8mNBq9z0tmH9NV4MyuP12EwHp_m6MYbfHo_ql0ZXOnZ3bnZmYTdiK_8YCJeDdnP6QV6ZpVP5uXDuUSfP55dn1xUl1fnn05Wl5Wu22aulAJodA9dC4MATXoriGZDPQylvOBKCV4zLlrLuqYXjaWdZQ21VHFLGK8FLNGHA3fK_c4M2oxzVF5O0e1UvJdBOfn3y-hu5U24k5QWMIg94e0DIYZv2aRZ7lzSxns1mpCTZIJ1NdCueFiiN_9EtyHHsfQrKd4KTlhLS4odUjqGlKKxj9tQIvdm5cGsLET506yEMvT6zx6PI79UlgAcAmnaKzDx99__wf4Aux-vTg</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Alemi, Mohammad Mehdi</creator><creator>Banks, Jacob J.</creator><creator>Lynch, Andrew C.</creator><creator>Allaire, Brett T.</creator><creator>Bouxsein, Mary L.</creator><creator>Anderson, Dennis E.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4257-3566</orcidid></search><sort><creationdate>20231001</creationdate><title>EMG Validation of a Subject-Specific Thoracolumbar Spine Musculoskeletal Model During Dynamic Activities in Older Adults</title><author>Alemi, Mohammad Mehdi ; Banks, Jacob J. ; Lynch, Andrew C. ; Allaire, Brett T. ; Bouxsein, Mary L. ; Anderson, Dennis E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-aa335cb3973d83c0bf80c2d4dd10486aa8642687f295b85f19f251f1a6f026483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adults</topic><topic>Aged</topic><topic>Biochemistry</topic><topic>Biological and Medical Physics</topic><topic>Biomechanical Phenomena</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Biophysics</topic><topic>Body mass</topic><topic>Classical Mechanics</topic><topic>Cross correlation</topic><topic>Electromyography</topic><topic>Electromyography - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alemi, Mohammad Mehdi</au><au>Banks, Jacob J.</au><au>Lynch, Andrew C.</au><au>Allaire, Brett T.</au><au>Bouxsein, Mary L.</au><au>Anderson, Dennis E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EMG Validation of a Subject-Specific Thoracolumbar Spine Musculoskeletal Model During Dynamic Activities in Older Adults</atitle><jtitle>Annals of biomedical engineering</jtitle><stitle>Ann Biomed Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2023-10-01</date><risdate>2023</risdate><volume>51</volume><issue>10</issue><spage>2313</spage><epage>2322</epage><pages>2313-2322</pages><issn>0090-6964</issn><issn>1573-9686</issn><eissn>1573-9686</eissn><abstract>Musculoskeletal models can uniquely estimate in vivo demands and injury risk. In this study, we aimed to compare muscle activations from subject-specific thoracolumbar spine OpenSim models with recorded muscle activity from electromyography (EMG) during five dynamic tasks. Specifically, 11 older adults (mean = 65 years, SD = 9) lifted a crate weighted to 10% of their body mass in axial rotation, 2-handed sagittal lift, 1-handed sagittal lift, and lateral bending, and simulated a window opening task. EMG measurements of back and abdominal muscles were directly compared to equivalent model-predicted activity for temporal similarity via maximum absolute normalized cross-correlation (MANCC) coefficients and for magnitude differences via root-mean-square errors (RMSE), across all combinations of participants, dynamic tasks, and muscle groups. We found that across most of the tasks the model reasonably predicted temporal behavior of back extensor muscles (median MANCC = 0.92 ± 0.07) but moderate temporal similarity was observed for abdominal muscles (median MANCC = 0.60 ± 0.20). Activation magnitude was comparable to previous modeling studies, and median RMSE was 0.18 ± 0.08 for back extensor muscles. Overall, these results indicate that our thoracolumbar spine model can be used to estimate subject-specific in vivo muscular activations for these dynamic lifting tasks.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37353715</pmid><doi>10.1007/s10439-023-03273-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4257-3566</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adults Aged Biochemistry Biological and Medical Physics Biomechanical Phenomena Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Body mass Classical Mechanics Cross correlation Electromyography Electromyography - methods Health risks Humans In vivo methods and tests Muscle, Skeletal - physiology Muscles Older people Original Article Rotating bodies Similarity Spine |
| title | EMG Validation of a Subject-Specific Thoracolumbar Spine Musculoskeletal Model During Dynamic Activities in Older Adults |
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