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Development of a sarcomere model using hardware
We are developing a hardware model of sarcomere dynamics to obtain a better understanding of how groups of sarcomeres interact to produce macroscopic muscle behaviors. Both the computational complexity of the sarcomeres and muscle's highly parallel nature have limited previous attempts to model...
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creator | Hudson, T.A. Bragg, J.A. Brown, E.A. Lin, D.C. DeWeerth, S.P. |
description | We are developing a hardware model of sarcomere dynamics to obtain a better understanding of how groups of sarcomeres interact to produce macroscopic muscle behaviors. Both the computational complexity of the sarcomeres and muscle's highly parallel nature have limited previous attempts to model muscle at the level of crossbridge dynamics. Real-time models of muscle structure and dynamics can be implemented, however, using very large-scale integrated circuits, which share muscle's computational complexity and parallelism. This paper addresses the mathematical models that will underlie the implementation of such a crossbridge-level, hardware model of sarcomere dynamics. |
doi_str_mv | 10.1109/IEMBS.1999.802630 |
format | conference_proceeding |
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This paper addresses the mathematical models that will underlie the implementation of such a crossbridge-level, hardware model of sarcomere dynamics.</description><subject>Bridge circuits</subject><subject>Computational complexity</subject><subject>Concurrent computing</subject><subject>Hardware</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Muscles</subject><subject>Nonlinear equations</subject><subject>Parallel processing</subject><subject>Partial differential equations</subject><subject>Very large scale integration</subject><issn>1094-687X</issn><issn>0589-1019</issn><issn>1558-4615</issn><isbn>0780356748</isbn><isbn>9780780356740</isbn><isbn>9780780356757</isbn><isbn>0780356756</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkE1Lw0AYhBc_wLb6A_SUk7ek727286ht1ULFgwrewmbzRiP5cjdR_PcG4mkG5mEYhpBLCgmlYNb73ePtc0KNMYkGJlM4IgsqhI65pOKYLEFpSIVUXJ9MARgeS63ezsgyhE8ABiDogqy3-I111zfYDlFXRjYK1ruuQY9R0xVYR2Oo2vfow_rix3o8J6elrQNe_OuKvN7tXjYP8eHpfr-5OcQVpXqIrWPIC-vA5GyypRMGtTSQm9IhSJuDFJgqKIyQUuTTmpIpqrRRBVpa8nRFrufe3ndfI4Yha6rgsK5ti90YMkY5E0LBBF7NYIWIWe-rxvrfbD4k_QPzD1IJ</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Hudson, T.A.</creator><creator>Bragg, J.A.</creator><creator>Brown, E.A.</creator><creator>Lin, D.C.</creator><creator>DeWeerth, S.P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1999</creationdate><title>Development of a sarcomere model using hardware</title><author>Hudson, T.A. ; Bragg, J.A. ; Brown, E.A. ; Lin, D.C. ; DeWeerth, S.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-ac2e4dac09b2c2efc59e8690b9fce06ab065e370d95665b020f2717897dea1f43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Bridge circuits</topic><topic>Computational complexity</topic><topic>Concurrent computing</topic><topic>Hardware</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Muscles</topic><topic>Nonlinear equations</topic><topic>Parallel processing</topic><topic>Partial differential equations</topic><topic>Very large scale integration</topic><toplevel>online_resources</toplevel><creatorcontrib>Hudson, T.A.</creatorcontrib><creatorcontrib>Bragg, J.A.</creatorcontrib><creatorcontrib>Brown, E.A.</creatorcontrib><creatorcontrib>Lin, D.C.</creatorcontrib><creatorcontrib>DeWeerth, S.P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hudson, T.A.</au><au>Bragg, J.A.</au><au>Brown, E.A.</au><au>Lin, D.C.</au><au>DeWeerth, S.P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Development of a sarcomere model using hardware</atitle><btitle>Proceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA</btitle><stitle>IEMBS</stitle><date>1999</date><risdate>1999</risdate><volume>1</volume><spage>552 vol.1</spage><epage>552</epage><pages>552 vol.1-552</pages><issn>1094-687X</issn><issn>0589-1019</issn><eissn>1558-4615</eissn><isbn>0780356748</isbn><isbn>9780780356740</isbn><isbn>9780780356757</isbn><isbn>0780356756</isbn><abstract>We are developing a hardware model of sarcomere dynamics to obtain a better understanding of how groups of sarcomeres interact to produce macroscopic muscle behaviors. Both the computational complexity of the sarcomeres and muscle's highly parallel nature have limited previous attempts to model muscle at the level of crossbridge dynamics. Real-time models of muscle structure and dynamics can be implemented, however, using very large-scale integrated circuits, which share muscle's computational complexity and parallelism. This paper addresses the mathematical models that will underlie the implementation of such a crossbridge-level, hardware model of sarcomere dynamics.</abstract><pub>IEEE</pub><doi>10.1109/IEMBS.1999.802630</doi><tpages>1</tpages></addata></record> |
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ispartof | Proceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA, 1999, Vol.1, p.552 vol.1-552 |
issn | 1094-687X 0589-1019 1558-4615 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Bridge circuits Computational complexity Concurrent computing Hardware Mathematical model Mathematical models Muscles Nonlinear equations Parallel processing Partial differential equations Very large scale integration |
title | Development of a sarcomere model using hardware |
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