Novel cross correlation technique allows crosstalk resistant reflex detection from surface EMG
Existing methods for withdrawal reflex detection from surface electromyography (sEMG) do not consider the potential presence of electrical crosstalk, which in practical applications may entail reduced detection accuracy. This study estimated muscle fiber conduction velocities (CV) for the tibialis a...
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creator | Jensen, M. B. Frahm, K. S. Biurrun Manresa, Jose Andersen, O. K. |
description | Existing methods for withdrawal reflex detection from surface electromyography (sEMG) do not consider the potential presence of electrical crosstalk, which in practical applications may entail reduced detection accuracy. This study estimated muscle fiber conduction velocities (CV) for the tibialis anterior (TA) and soleus (SOL) muscles of both genuine reflexes and identified crosstalk, measured during antagonistic reflex responses. These estimations were used to develop and assess a novel method for reflex detection resistant to crosstalk. Cross correlations of two single differential (SD) sEMG signals recorded along the muscle fibers were performed and two features were extracted from the resulting correlograms (average CV and maximal cross correlation). Reflex detection based on evaluation of the extracted features was compared to a conventional reflex detection method (thresholding of interval peak z-scores), applied on both SD and double differential (DD) sEMG. Intramuscular electromyography (iEMG) was used as validation for reflex detection. Apparent CV due to electrical crosstalk alone were more than one order of magnitude higher than CV estimated for genuine reflexes. Conventional reflex detection showed excellent sensitivity but poor specificity (0.19-0.76) due to the presence of crosstalk. In contrast, cross correlation analysis allowed reflex detection with significantly improved specificity (0.91-0.97). The developed methodology may be readily implemented for more reliable reflex detection. |
doi_str_mv | 10.1109/EMBC.2012.6346728 |
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B. ; Frahm, K. S. ; Biurrun Manresa, Jose ; Andersen, O. K.</creator><creatorcontrib>Jensen, M. B. ; Frahm, K. S. ; Biurrun Manresa, Jose ; Andersen, O. K.</creatorcontrib><description>Existing methods for withdrawal reflex detection from surface electromyography (sEMG) do not consider the potential presence of electrical crosstalk, which in practical applications may entail reduced detection accuracy. This study estimated muscle fiber conduction velocities (CV) for the tibialis anterior (TA) and soleus (SOL) muscles of both genuine reflexes and identified crosstalk, measured during antagonistic reflex responses. These estimations were used to develop and assess a novel method for reflex detection resistant to crosstalk. Cross correlations of two single differential (SD) sEMG signals recorded along the muscle fibers were performed and two features were extracted from the resulting correlograms (average CV and maximal cross correlation). Reflex detection based on evaluation of the extracted features was compared to a conventional reflex detection method (thresholding of interval peak z-scores), applied on both SD and double differential (DD) sEMG. Intramuscular electromyography (iEMG) was used as validation for reflex detection. Apparent CV due to electrical crosstalk alone were more than one order of magnitude higher than CV estimated for genuine reflexes. Conventional reflex detection showed excellent sensitivity but poor specificity (0.19-0.76) due to the presence of crosstalk. In contrast, cross correlation analysis allowed reflex detection with significantly improved specificity (0.91-0.97). 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B.</creatorcontrib><creatorcontrib>Frahm, K. S.</creatorcontrib><creatorcontrib>Biurrun Manresa, Jose</creatorcontrib><creatorcontrib>Andersen, O. K.</creatorcontrib><title>Novel cross correlation technique allows crosstalk resistant reflex detection from surface EMG</title><title>2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</title><addtitle>EMBC</addtitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><description>Existing methods for withdrawal reflex detection from surface electromyography (sEMG) do not consider the potential presence of electrical crosstalk, which in practical applications may entail reduced detection accuracy. This study estimated muscle fiber conduction velocities (CV) for the tibialis anterior (TA) and soleus (SOL) muscles of both genuine reflexes and identified crosstalk, measured during antagonistic reflex responses. These estimations were used to develop and assess a novel method for reflex detection resistant to crosstalk. Cross correlations of two single differential (SD) sEMG signals recorded along the muscle fibers were performed and two features were extracted from the resulting correlograms (average CV and maximal cross correlation). Reflex detection based on evaluation of the extracted features was compared to a conventional reflex detection method (thresholding of interval peak z-scores), applied on both SD and double differential (DD) sEMG. Intramuscular electromyography (iEMG) was used as validation for reflex detection. Apparent CV due to electrical crosstalk alone were more than one order of magnitude higher than CV estimated for genuine reflexes. Conventional reflex detection showed excellent sensitivity but poor specificity (0.19-0.76) due to the presence of crosstalk. In contrast, cross correlation analysis allowed reflex detection with significantly improved specificity (0.91-0.97). The developed methodology may be readily implemented for more reliable reflex detection.</description><subject>Adult</subject><subject>Correlation</subject><subject>Crosstalk</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>Electromyography - methods</subject><subject>Estimation</subject><subject>Humans</subject><subject>Male</subject><subject>Muscle, Skeletal - physiology</subject><subject>Muscles</subject><subject>Reflex</subject><subject>Sensitivity and specificity</subject><subject>Young Adult</subject><issn>1094-687X</issn><issn>1557-170X</issn><issn>1558-4615</issn><isbn>1424441196</isbn><isbn>9781424441198</isbn><isbn>9781457717871</isbn><isbn>1457717875</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNo9kN1OAjEQhetfBJEHMCamL7DYabtt91IIognojSZeSUp3GlcXFtvFn7e3EXTmYk5yvjnJDCFnwAYArLgcz4ajAWfAB0pIpbnZI_1CG5C51qCNhn3ShTw3mVSQH5ATkFxKCVCow2SwQmbK6KcO6cf4ylIZMILJY9LhQiilTNElz3fNB9bUhSZG6poQsLZt1axoi-5lVb1vkNq6bj7jFmlt_UYDxiqpVZuUr_GLlpjo3y0fmiWNm-CtQzqeTU7Jkbd1xP5u9sjj9fhhdJNN7ye3o6tpVgkNbYZgJDPeKW8tM8I6yRauSK1ZybjPywVazpU3TBrPtLMF53lpgaucO45G9MjFNne9WSyxnK9DtbThe_53aALOt0CFiP_27q3iB0CPZhg</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Jensen, M. B.</creator><creator>Frahm, K. S.</creator><creator>Biurrun Manresa, Jose</creator><creator>Andersen, O. K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>20120101</creationdate><title>Novel cross correlation technique allows crosstalk resistant reflex detection from surface EMG</title><author>Jensen, M. B. ; Frahm, K. S. ; Biurrun Manresa, Jose ; Andersen, O. K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i371t-e18408fc6faa083ac40bc9c9c70d02f5dbea226f8048f07ca9225da12652c2e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Correlation</topic><topic>Crosstalk</topic><topic>Electrodes</topic><topic>Electromyography</topic><topic>Electromyography - methods</topic><topic>Estimation</topic><topic>Humans</topic><topic>Male</topic><topic>Muscle, Skeletal - physiology</topic><topic>Muscles</topic><topic>Reflex</topic><topic>Sensitivity and specificity</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Jensen, M. B.</creatorcontrib><creatorcontrib>Frahm, K. S.</creatorcontrib><creatorcontrib>Biurrun Manresa, Jose</creatorcontrib><creatorcontrib>Andersen, O. K.</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>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jensen, M. B.</au><au>Frahm, K. S.</au><au>Biurrun Manresa, Jose</au><au>Andersen, O. K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Novel cross correlation technique allows crosstalk resistant reflex detection from surface EMG</atitle><jtitle>2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</jtitle><stitle>EMBC</stitle><addtitle>Conf Proc IEEE Eng Med Biol Soc</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>2012</volume><spage>3531</spage><epage>3534</epage><pages>3531-3534</pages><issn>1094-687X</issn><issn>1557-170X</issn><eissn>1558-4615</eissn><isbn>1424441196</isbn><isbn>9781424441198</isbn><eisbn>9781457717871</eisbn><eisbn>1457717875</eisbn><abstract>Existing methods for withdrawal reflex detection from surface electromyography (sEMG) do not consider the potential presence of electrical crosstalk, which in practical applications may entail reduced detection accuracy. This study estimated muscle fiber conduction velocities (CV) for the tibialis anterior (TA) and soleus (SOL) muscles of both genuine reflexes and identified crosstalk, measured during antagonistic reflex responses. These estimations were used to develop and assess a novel method for reflex detection resistant to crosstalk. Cross correlations of two single differential (SD) sEMG signals recorded along the muscle fibers were performed and two features were extracted from the resulting correlograms (average CV and maximal cross correlation). Reflex detection based on evaluation of the extracted features was compared to a conventional reflex detection method (thresholding of interval peak z-scores), applied on both SD and double differential (DD) sEMG. Intramuscular electromyography (iEMG) was used as validation for reflex detection. Apparent CV due to electrical crosstalk alone were more than one order of magnitude higher than CV estimated for genuine reflexes. Conventional reflex detection showed excellent sensitivity but poor specificity (0.19-0.76) due to the presence of crosstalk. In contrast, cross correlation analysis allowed reflex detection with significantly improved specificity (0.91-0.97). The developed methodology may be readily implemented for more reliable reflex detection.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>23366689</pmid><doi>10.1109/EMBC.2012.6346728</doi><tpages>4</tpages></addata></record> |
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subjects | Adult Correlation Crosstalk Electrodes Electromyography Electromyography - methods Estimation Humans Male Muscle, Skeletal - physiology Muscles Reflex Sensitivity and specificity Young Adult |
title | Novel cross correlation technique allows crosstalk resistant reflex detection from surface EMG |
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