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Development of Hamstrings Muscle Model for Paraplegic with Functional Electrical Stimulation
This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference System (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on musc...
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description | This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference System (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on muscle output torque are conducted. The data that is obtained is used to develop the paraplegic hamstrings muscle model. 588 training data and 220 testing data set are used in the development of hamstrings muscle model. The ANFIS hamstrings muscle model is found to be the most accurate muscle model representing paraplegic hamstrings muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies. |
doi_str_mv | 10.1109/ISMS.2012.59 |
format | conference_proceeding |
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O.</creator><creatorcontrib>Jailani, R. ; Tokhi, M. O.</creatorcontrib><description>This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference System (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on muscle output torque are conducted. The data that is obtained is used to develop the paraplegic hamstrings muscle model. 588 training data and 220 testing data set are used in the development of hamstrings muscle model. The ANFIS hamstrings muscle model is found to be the most accurate muscle model representing paraplegic hamstrings muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies.</description><identifier>ISSN: 2166-0662</identifier><identifier>ISBN: 1467308862</identifier><identifier>ISBN: 9781467308861</identifier><identifier>EISSN: 2166-0670</identifier><identifier>EISBN: 9780769546681</identifier><identifier>EISBN: 0769546684</identifier><identifier>DOI: 10.1109/ISMS.2012.59</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptation models ; Computational modeling ; Data models ; Functional electrical stimulation ; Mathematical model ; muscle model ; Muscles ; Neuromuscular stimulation ; paraplegic ; spinal cord injury ; Testing</subject><ispartof>2012 Third International Conference on Intelligent Systems Modelling and Simulation, 2012, p.177-180</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6169695$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6169695$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jailani, R.</creatorcontrib><creatorcontrib>Tokhi, M. O.</creatorcontrib><title>Development of Hamstrings Muscle Model for Paraplegic with Functional Electrical Stimulation</title><title>2012 Third International Conference on Intelligent Systems Modelling and Simulation</title><addtitle>isms</addtitle><description>This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference System (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on muscle output torque are conducted. The data that is obtained is used to develop the paraplegic hamstrings muscle model. 588 training data and 220 testing data set are used in the development of hamstrings muscle model. The ANFIS hamstrings muscle model is found to be the most accurate muscle model representing paraplegic hamstrings muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies.</description><subject>Adaptation models</subject><subject>Computational modeling</subject><subject>Data models</subject><subject>Functional electrical stimulation</subject><subject>Mathematical model</subject><subject>muscle model</subject><subject>Muscles</subject><subject>Neuromuscular stimulation</subject><subject>paraplegic</subject><subject>spinal cord injury</subject><subject>Testing</subject><issn>2166-0662</issn><issn>2166-0670</issn><isbn>1467308862</isbn><isbn>9781467308861</isbn><isbn>9780769546681</isbn><isbn>0769546684</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9kMtOwzAURM1LopTu2LHxD6RcO_G1vUSlpZVagdQukSrHuSlGTlIlKRV_TxGI1Yx0dGYxjN0JGAsB9mGxXq3HEoQcK3vGRlYb0GhVhmjEORtIgZgAarhgNyJDnYIxKC__AcprNuq6DwAQoK2xZsDenuiTYrOvqO55U_K5q7q-DfWu46tD5yPxVVNQ5GXT8lfXun2kXfD8GPp3PjvUvg9N7SKfRvInzZ_qug_VIbofcMuuShc7Gv3lkG1m081knixfnheTx2USLPSJKlOrysKqXIFXDosclcuETsvcaOfSTHkqiAqFmQHhMcNCarLa5tKVHjEdsvvf2UBE230bKtd-bVGgPZ2TfgN5T1g4</recordid><startdate>201202</startdate><enddate>201202</enddate><creator>Jailani, R.</creator><creator>Tokhi, M. O.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201202</creationdate><title>Development of Hamstrings Muscle Model for Paraplegic with Functional Electrical Stimulation</title><author>Jailani, R. ; Tokhi, M. O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-5f395fd95b50c5a6db65a4173fb87aa345cedeed564801c646d27e979b2afc663</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptation models</topic><topic>Computational modeling</topic><topic>Data models</topic><topic>Functional electrical stimulation</topic><topic>Mathematical model</topic><topic>muscle model</topic><topic>Muscles</topic><topic>Neuromuscular stimulation</topic><topic>paraplegic</topic><topic>spinal cord injury</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Jailani, R.</creatorcontrib><creatorcontrib>Tokhi, M. O.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jailani, R.</au><au>Tokhi, M. O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Development of Hamstrings Muscle Model for Paraplegic with Functional Electrical Stimulation</atitle><btitle>2012 Third International Conference on Intelligent Systems Modelling and Simulation</btitle><stitle>isms</stitle><date>2012-02</date><risdate>2012</risdate><spage>177</spage><epage>180</epage><pages>177-180</pages><issn>2166-0662</issn><eissn>2166-0670</eissn><isbn>1467308862</isbn><isbn>9781467308861</isbn><eisbn>9780769546681</eisbn><eisbn>0769546684</eisbn><abstract>This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference System (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on muscle output torque are conducted. The data that is obtained is used to develop the paraplegic hamstrings muscle model. 588 training data and 220 testing data set are used in the development of hamstrings muscle model. The ANFIS hamstrings muscle model is found to be the most accurate muscle model representing paraplegic hamstrings muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies.</abstract><pub>IEEE</pub><doi>10.1109/ISMS.2012.59</doi><tpages>4</tpages></addata></record> |
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subjects | Adaptation models Computational modeling Data models Functional electrical stimulation Mathematical model muscle model Muscles Neuromuscular stimulation paraplegic spinal cord injury Testing |
title | Development of Hamstrings Muscle Model for Paraplegic with Functional Electrical Stimulation |
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