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Hill muscle model errors during movement are greatest within the physiologically relevant range of motor unit firing rates
This study evaluated the accuracy of Hill-type muscle models during movement. Hill-type models are ubiquitous in biomechanical simulations. They are attractive because of their computational simplicity and close relation to commonly measured experimental variables, but there have been surprisingly f...
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Published in: | Journal of biomechanics 2003-02, Vol.36 (2), p.211-218 |
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description | This study evaluated the accuracy of Hill-type muscle models during movement. Hill-type models are ubiquitous in biomechanical simulations. They are attractive because of their computational simplicity and close relation to commonly measured experimental variables, but there have been surprisingly few experimental validations of these models during functionally relevant conditions. Our hypothesis was that model errors during movement are largest at the low motor unit firing rates most relevant to normal movement conditions. This hypothesis was evaluated in the cat soleus muscle activated either by electrical stimulation at physiological rates or via the crossed-extension reflex (CXR) thereby obtaining normal patterns of motor unit recruitment and rate modulation. These activation paradigms were applied during continuous movements approximately matched to locomotor length changes. The resulting muscle force was modeled using a common Hill model incorporating independent activation, tetanic length–tension and tetanic force–velocity properties. Errors for this model were greatest for stimulation rates between approximately 10–20
Hz. Errors were especially large for muscles activated via the CXR, where most motor units appear to fire within this range. For large muscle excursions, such as those seen during normal locomotion, the errors for naturally activated muscle typically exceeded 50%, supporting our hypothesis and indicating that the Hill model is not appropriate for these conditions. Subsequent analysis suggested that model errors were due to the common Hill model's inability to account for the coupling between muscle activation and force–velocity properties that is most prevalent at the low motor unit firing rates relevant to normal activation. |
doi_str_mv | 10.1016/S0021-9290(02)00332-9 |
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Hz. Errors were especially large for muscles activated via the CXR, where most motor units appear to fire within this range. For large muscle excursions, such as those seen during normal locomotion, the errors for naturally activated muscle typically exceeded 50%, supporting our hypothesis and indicating that the Hill model is not appropriate for these conditions. Subsequent analysis suggested that model errors were due to the common Hill model's inability to account for the coupling between muscle activation and force–velocity properties that is most prevalent at the low motor unit firing rates relevant to normal activation.</description><identifier>ISSN: 0021-9290</identifier><identifier>EISSN: 1873-2380</identifier><identifier>DOI: 10.1016/S0021-9290(02)00332-9</identifier><identifier>PMID: 12547358</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Animals ; Ankle - physiology ; Cat soleus ; Cats ; Computer Simulation ; Elasticity ; Electric Stimulation ; Experiments ; Hill model ; Mineral oils ; Models, Biological ; Models, Neurological ; Motor Neurons - physiology ; Movement - physiology ; Muscle Contraction - physiology ; Muscle modeling ; Muscle, Skeletal - innervation ; Muscle, Skeletal - physiology ; Muscular system ; Physical therapy ; Reproducibility of Results ; Sensitivity and Specificity ; Stress, Mechanical ; Viscosity</subject><ispartof>Journal of biomechanics, 2003-02, Vol.36 (2), p.211-218</ispartof><rights>2002 Elsevier Science Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-928a36fddf0710ef305b6d24872936a7d3b417911b364e29c096344529f90dc63</citedby><cites>FETCH-LOGICAL-c441t-928a36fddf0710ef305b6d24872936a7d3b417911b364e29c096344529f90dc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12547358$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Perreault, Eric J.</creatorcontrib><creatorcontrib>Heckman, Charles J.</creatorcontrib><creatorcontrib>Sandercock, Thomas G.</creatorcontrib><title>Hill muscle model errors during movement are greatest within the physiologically relevant range of motor unit firing rates</title><title>Journal of biomechanics</title><addtitle>J Biomech</addtitle><description>This study evaluated the accuracy of Hill-type muscle models during movement. Hill-type models are ubiquitous in biomechanical simulations. They are attractive because of their computational simplicity and close relation to commonly measured experimental variables, but there have been surprisingly few experimental validations of these models during functionally relevant conditions. Our hypothesis was that model errors during movement are largest at the low motor unit firing rates most relevant to normal movement conditions. This hypothesis was evaluated in the cat soleus muscle activated either by electrical stimulation at physiological rates or via the crossed-extension reflex (CXR) thereby obtaining normal patterns of motor unit recruitment and rate modulation. These activation paradigms were applied during continuous movements approximately matched to locomotor length changes. The resulting muscle force was modeled using a common Hill model incorporating independent activation, tetanic length–tension and tetanic force–velocity properties. Errors for this model were greatest for stimulation rates between approximately 10–20
Hz. Errors were especially large for muscles activated via the CXR, where most motor units appear to fire within this range. For large muscle excursions, such as those seen during normal locomotion, the errors for naturally activated muscle typically exceeded 50%, supporting our hypothesis and indicating that the Hill model is not appropriate for these conditions. Subsequent analysis suggested that model errors were due to the common Hill model's inability to account for the coupling between muscle activation and force–velocity properties that is most prevalent at the low motor unit firing rates relevant to normal activation.</description><subject>Animals</subject><subject>Ankle - physiology</subject><subject>Cat soleus</subject><subject>Cats</subject><subject>Computer Simulation</subject><subject>Elasticity</subject><subject>Electric Stimulation</subject><subject>Experiments</subject><subject>Hill model</subject><subject>Mineral oils</subject><subject>Models, Biological</subject><subject>Models, Neurological</subject><subject>Motor Neurons - physiology</subject><subject>Movement - physiology</subject><subject>Muscle Contraction - physiology</subject><subject>Muscle modeling</subject><subject>Muscle, Skeletal - innervation</subject><subject>Muscle, Skeletal - physiology</subject><subject>Muscular system</subject><subject>Physical therapy</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Stress, Mechanical</subject><subject>Viscosity</subject><issn>0021-9290</issn><issn>1873-2380</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqFkU2LFDEQhhtR3NnVn6AEBFkPrZWP7nROiyzqCgse1HPIJNUzWdKdMekeGX-96ZlBwYunQPG8T4p6q-oFhbcUaPvuKwCjtWIKroG9AeCc1epRtaKd5DXjHTyuVn-Qi-oy5wcAkEKqp9UFZY2QvOlW1a87HwIZ5mwDkiE6DARTiikTNyc_bspsjwOOEzEJySahmTBP5Keftn4k0xbJbnvIPoa48daEcCAJA-5NCSQzbpDEviimmMg8-on0_ihNi-VZ9aQ3IePz83tVff_44dvtXX3_5dPn2_f3tRWCTmX_zvC2d64HSQF7Ds26dUx0kineGun4WlCpKF3zViBTFlTLhWiY6hU42_Kr6vXJu0vxx1y214PPFkMwI8Y56-JRIOQCvvoHfIhzGstumgJvKGVMqkI1J8qmmHPCXu-SH0w6FEgv1ehjNXq5uwamj9XoJffybJ_XA7q_qXMXBbg5AViOsfeYdLYeR4vOJ7STdtH_54vfuzKeaA</recordid><startdate>20030201</startdate><enddate>20030201</enddate><creator>Perreault, Eric J.</creator><creator>Heckman, Charles J.</creator><creator>Sandercock, Thomas G.</creator><general>Elsevier Ltd</general><general>Elsevier Limited</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>7QP</scope><scope>7TB</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20030201</creationdate><title>Hill muscle model errors during movement are greatest within the physiologically relevant range of motor unit firing rates</title><author>Perreault, Eric J. ; Heckman, Charles J. ; Sandercock, Thomas G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-928a36fddf0710ef305b6d24872936a7d3b417911b364e29c096344529f90dc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Animals</topic><topic>Ankle - physiology</topic><topic>Cat soleus</topic><topic>Cats</topic><topic>Computer Simulation</topic><topic>Elasticity</topic><topic>Electric Stimulation</topic><topic>Experiments</topic><topic>Hill model</topic><topic>Mineral oils</topic><topic>Models, Biological</topic><topic>Models, Neurological</topic><topic>Motor Neurons - physiology</topic><topic>Movement - physiology</topic><topic>Muscle Contraction - physiology</topic><topic>Muscle modeling</topic><topic>Muscle, Skeletal - innervation</topic><topic>Muscle, Skeletal - physiology</topic><topic>Muscular system</topic><topic>Physical therapy</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Stress, Mechanical</topic><topic>Viscosity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Perreault, Eric J.</creatorcontrib><creatorcontrib>Heckman, Charles J.</creatorcontrib><creatorcontrib>Sandercock, Thomas G.</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>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest research library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biomechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Perreault, Eric J.</au><au>Heckman, Charles J.</au><au>Sandercock, Thomas G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hill muscle model errors during movement are greatest within the physiologically relevant range of motor unit firing rates</atitle><jtitle>Journal of biomechanics</jtitle><addtitle>J Biomech</addtitle><date>2003-02-01</date><risdate>2003</risdate><volume>36</volume><issue>2</issue><spage>211</spage><epage>218</epage><pages>211-218</pages><issn>0021-9290</issn><eissn>1873-2380</eissn><abstract>This study evaluated the accuracy of Hill-type muscle models during movement. Hill-type models are ubiquitous in biomechanical simulations. They are attractive because of their computational simplicity and close relation to commonly measured experimental variables, but there have been surprisingly few experimental validations of these models during functionally relevant conditions. Our hypothesis was that model errors during movement are largest at the low motor unit firing rates most relevant to normal movement conditions. This hypothesis was evaluated in the cat soleus muscle activated either by electrical stimulation at physiological rates or via the crossed-extension reflex (CXR) thereby obtaining normal patterns of motor unit recruitment and rate modulation. These activation paradigms were applied during continuous movements approximately matched to locomotor length changes. The resulting muscle force was modeled using a common Hill model incorporating independent activation, tetanic length–tension and tetanic force–velocity properties. Errors for this model were greatest for stimulation rates between approximately 10–20
Hz. Errors were especially large for muscles activated via the CXR, where most motor units appear to fire within this range. For large muscle excursions, such as those seen during normal locomotion, the errors for naturally activated muscle typically exceeded 50%, supporting our hypothesis and indicating that the Hill model is not appropriate for these conditions. Subsequent analysis suggested that model errors were due to the common Hill model's inability to account for the coupling between muscle activation and force–velocity properties that is most prevalent at the low motor unit firing rates relevant to normal activation.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>12547358</pmid><doi>10.1016/S0021-9290(02)00332-9</doi><tpages>8</tpages></addata></record> |
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subjects | Animals Ankle - physiology Cat soleus Cats Computer Simulation Elasticity Electric Stimulation Experiments Hill model Mineral oils Models, Biological Models, Neurological Motor Neurons - physiology Movement - physiology Muscle Contraction - physiology Muscle modeling Muscle, Skeletal - innervation Muscle, Skeletal - physiology Muscular system Physical therapy Reproducibility of Results Sensitivity and Specificity Stress, Mechanical Viscosity |
title | Hill muscle model errors during movement are greatest within the physiologically relevant range of motor unit firing rates |
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