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Supervised classification of motor unit action potentials based on estimates of classification certainty
The classification of motor unit action potentials extracted from a myoelectric (ME) signal is a difficult task due to the lack of a priori information regarding the number of classes and the class statistics. Classification can be performed with great accuracy by humans due to inherent pattern anal...
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container_issue | 211-1212 |
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creator | Paoli, G.M. Stashuk, D.W. |
description | The classification of motor unit action potentials extracted from a myoelectric (ME) signal is a difficult task due to the lack of a priori information regarding the number of classes and the class statistics. Classification can be performed with great accuracy by humans due to inherent pattern analysis and decision-making abilities. In trying to match the performance of the human operator, a method was developed to combine various sources of information into a certainty function which mimics the degree of certainty a human might have about a classification, given the same information. This method is described and preliminary comparative results provided. |
doi_str_mv | 10.1109/IEMBS.1993.979099 |
format | conference_proceeding |
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Classification can be performed with great accuracy by humans due to inherent pattern analysis and decision-making abilities. In trying to match the performance of the human operator, a method was developed to combine various sources of information into a certainty function which mimics the degree of certainty a human might have about a classification, given the same information. This method is described and preliminary comparative results provided.</description><subject>Decision making</subject><subject>Design engineering</subject><subject>Euclidean distance</subject><subject>Humans</subject><subject>Information resources</subject><subject>Pattern analysis</subject><subject>Probability</subject><subject>Shape</subject><subject>Signal generators</subject><subject>Signal resolution</subject><isbn>0780313771</isbn><isbn>9780780313774</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpdkDFPwzAQhS0hJKD0B8CUjanFF9t1boSqlEpFDO0eOfZFGKVxiB2k_ntSysQtJz297-neMXYHfA7A8XGzenvezQFRzFEjR7xgN1wXXIDQGq7YNMZPPo5UXBXymn3sho76bx_JZbYxMfraW5N8aLNQZ4eQQp8NrU-Zsb9iFxK1yZsmZpU5QaNGMfmDSRRPyL8QS30yvk3HW3ZZjxRN__aE7V9W--XrbPu-3iyftjOvQM4cmCoHVyAiaW0LFAZ1TZWsHFBeUC2IFtIp7URuSNqa68oaLCw4qASAmLCHc2zXh69hvKw8-GipaUxLYYillmqhFqjk6Lw_Oz0RlV0_VuiP5flp4gfKmGXw</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Paoli, G.M.</creator><creator>Stashuk, D.W.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>1993</creationdate><title>Supervised classification of motor unit action potentials based on estimates of classification certainty</title><author>Paoli, G.M. ; Stashuk, D.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i514-d1ab21d8999e77c893a97feb4bd1e28ef3ee64d57d32ae4cf07bca98c1d1b3113</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Decision making</topic><topic>Design engineering</topic><topic>Euclidean distance</topic><topic>Humans</topic><topic>Information resources</topic><topic>Pattern analysis</topic><topic>Probability</topic><topic>Shape</topic><topic>Signal generators</topic><topic>Signal resolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Paoli, G.M.</creatorcontrib><creatorcontrib>Stashuk, D.W.</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><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Paoli, G.M.</au><au>Stashuk, D.W.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Supervised classification of motor unit action potentials based on estimates of classification certainty</atitle><btitle>Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ</btitle><stitle>IEMBS</stitle><date>1993</date><risdate>1993</risdate><issue>211-1212</issue><spage>1211</spage><epage>1212</epage><pages>1211-1212</pages><isbn>0780313771</isbn><isbn>9780780313774</isbn><abstract>The classification of motor unit action potentials extracted from a myoelectric (ME) signal is a difficult task due to the lack of a priori information regarding the number of classes and the class statistics. Classification can be performed with great accuracy by humans due to inherent pattern analysis and decision-making abilities. In trying to match the performance of the human operator, a method was developed to combine various sources of information into a certainty function which mimics the degree of certainty a human might have about a classification, given the same information. This method is described and preliminary comparative results provided.</abstract><pub>IEEE</pub><doi>10.1109/IEMBS.1993.979099</doi><tpages>2</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Decision making Design engineering Euclidean distance Humans Information resources Pattern analysis Probability Shape Signal generators Signal resolution |
title | Supervised classification of motor unit action potentials based on estimates of classification certainty |
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