Design and Test of an Intraoral Electrode Grid for Tongue High-Density Electromyography
Tongue motor function is crucial in a wide range of basic activities and its impairment affects quality of life. The electrophysiological assessment of the tongue relies primarily on needle electromyography, which is limited by its invasiveness and inability to capture the concurrent activity of the...
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Veröffentlicht in: | IEEE transactions on neural systems and rehabilitation engineering 2024-01, Vol.32, p.2805-2814 |
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description | Tongue motor function is crucial in a wide range of basic activities and its impairment affects quality of life. The electrophysiological assessment of the tongue relies primarily on needle electromyography, which is limited by its invasiveness and inability to capture the concurrent activity of the different tongue muscles. This work aimed at developing an intraoral grid for high-density surface electromyography (HDsEMG) to non-invasively map the electrical excitation of tongue muscles. We developed a grid of 4\times 8 electrodes deposited over an adhesive 8- \mu m thick polyurethane membrane. The testing protocol was conducted on 7 healthy participants and included functional tasks (vowels articulation and tongue movements) aimed at activating different regions of the tongue. The electrical stability of contact was assessed by measuring electrode-tongue impedances before and after the tasks. The spatial amplitude distribution of global EMG and single motor unit action potentials (MUAPs) was characterized. Electrode-tongue impedance magnitude showed no significant changes in the pre-post comparison ( 58\pm 46 k \Omega vs. 67\pm 58 k \Omega at 50Hz). Contact stability was confirmed by the quality of the signals that allowed to quantify spatiotemporal characteristics of muscle activation during the different tasks. The analysis of the spatial distribution of individual MUAPs amplitude showed that they were confined to relatively small areas on the tongue surface (range: 0.5cm2 -3.9cm ^{{2}}\text {)} . A variety of different spatiotemporal MUAP patterns, likely due to the presence of different muscle compartments with different fiber orientations, were observed. Our results demonstrate that the developed electrode grid enables HDsEMG acquisition from the tongue during functional tasks, thus opening new possibilities in tongue muscle assessment both at global and single motor unit level. |
doi_str_mv | 10.1109/TNSRE.2024.3434360 |
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The electrophysiological assessment of the tongue relies primarily on needle electromyography, which is limited by its invasiveness and inability to capture the concurrent activity of the different tongue muscles. This work aimed at developing an intraoral grid for high-density surface electromyography (HDsEMG) to non-invasively map the electrical excitation of tongue muscles. We developed a grid of <inline-formula> <tex-math notation="LaTeX">4\times 8 </tex-math></inline-formula> electrodes deposited over an adhesive 8-<inline-formula> <tex-math notation="LaTeX">\mu </tex-math></inline-formula>m thick polyurethane membrane. The testing protocol was conducted on 7 healthy participants and included functional tasks (vowels articulation and tongue movements) aimed at activating different regions of the tongue. The electrical stability of contact was assessed by measuring electrode-tongue impedances before and after the tasks. The spatial amplitude distribution of global EMG and single motor unit action potentials (MUAPs) was characterized. Electrode-tongue impedance magnitude showed no significant changes in the pre-post comparison (<inline-formula> <tex-math notation="LaTeX">58\pm 46 </tex-math></inline-formula>k<inline-formula> <tex-math notation="LaTeX">\Omega </tex-math></inline-formula> vs. <inline-formula> <tex-math notation="LaTeX">67\pm 58 </tex-math></inline-formula>k<inline-formula> <tex-math notation="LaTeX">\Omega </tex-math></inline-formula> at 50Hz). Contact stability was confirmed by the quality of the signals that allowed to quantify spatiotemporal characteristics of muscle activation during the different tasks. The analysis of the spatial distribution of individual MUAPs amplitude showed that they were confined to relatively small areas on the tongue surface (range: 0.5cm2 -3.9cm<inline-formula> <tex-math notation="LaTeX">^{{2}}\text {)} </tex-math></inline-formula>. A variety of different spatiotemporal MUAP patterns, likely due to the presence of different muscle compartments with different fiber orientations, were observed. Our results demonstrate that the developed electrode grid enables HDsEMG acquisition from the tongue during functional tasks, thus opening new possibilities in tongue muscle assessment both at global and single motor unit level.]]></description><identifier>ISSN: 1534-4320</identifier><identifier>ISSN: 1558-0210</identifier><identifier>EISSN: 1558-0210</identifier><identifier>DOI: 10.1109/TNSRE.2024.3434360</identifier><identifier>PMID: 39074029</identifier><identifier>CODEN: ITNSB3</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>decomposition ; Electrode technology ; Electrodes ; Electromyography ; motor unit ; Motors ; Muscles ; speech ; Surface impedance ; Task analysis ; Tongue ; tongue muscles</subject><ispartof>IEEE transactions on neural systems and rehabilitation engineering, 2024-01, Vol.32, p.2805-2814</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c315t-e3bdc409bbd9af177e41185a6a7344e4d9fc83a73a6bbb20daee3f7ae11591a03</cites><orcidid>0000-0002-5295-5314 ; 0000-0002-3715-6987 ; 0000-0002-6239-7301 ; 0000-0002-4797-0667 ; 0000-0001-5939-6212</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2102,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39074029$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Botter, Alberto</creatorcontrib><creatorcontrib>Vieira, Taian</creatorcontrib><creatorcontrib>Busso, Chiara</creatorcontrib><creatorcontrib>Vitali, Federica</creatorcontrib><creatorcontrib>Gazzoni, Marco</creatorcontrib><creatorcontrib>Cerone, Giacinto L.</creatorcontrib><title>Design and Test of an Intraoral Electrode Grid for Tongue High-Density Electromyography</title><title>IEEE transactions on neural systems and rehabilitation engineering</title><addtitle>TNSRE</addtitle><addtitle>IEEE Trans Neural Syst Rehabil Eng</addtitle><description><![CDATA[Tongue motor function is crucial in a wide range of basic activities and its impairment affects quality of life. The electrophysiological assessment of the tongue relies primarily on needle electromyography, which is limited by its invasiveness and inability to capture the concurrent activity of the different tongue muscles. This work aimed at developing an intraoral grid for high-density surface electromyography (HDsEMG) to non-invasively map the electrical excitation of tongue muscles. We developed a grid of <inline-formula> <tex-math notation="LaTeX">4\times 8 </tex-math></inline-formula> electrodes deposited over an adhesive 8-<inline-formula> <tex-math notation="LaTeX">\mu </tex-math></inline-formula>m thick polyurethane membrane. The testing protocol was conducted on 7 healthy participants and included functional tasks (vowels articulation and tongue movements) aimed at activating different regions of the tongue. The electrical stability of contact was assessed by measuring electrode-tongue impedances before and after the tasks. The spatial amplitude distribution of global EMG and single motor unit action potentials (MUAPs) was characterized. Electrode-tongue impedance magnitude showed no significant changes in the pre-post comparison (<inline-formula> <tex-math notation="LaTeX">58\pm 46 </tex-math></inline-formula>k<inline-formula> <tex-math notation="LaTeX">\Omega </tex-math></inline-formula> vs. <inline-formula> <tex-math notation="LaTeX">67\pm 58 </tex-math></inline-formula>k<inline-formula> <tex-math notation="LaTeX">\Omega </tex-math></inline-formula> at 50Hz). Contact stability was confirmed by the quality of the signals that allowed to quantify spatiotemporal characteristics of muscle activation during the different tasks. The analysis of the spatial distribution of individual MUAPs amplitude showed that they were confined to relatively small areas on the tongue surface (range: 0.5cm2 -3.9cm<inline-formula> <tex-math notation="LaTeX">^{{2}}\text {)} </tex-math></inline-formula>. A variety of different spatiotemporal MUAP patterns, likely due to the presence of different muscle compartments with different fiber orientations, were observed. Our results demonstrate that the developed electrode grid enables HDsEMG acquisition from the tongue during functional tasks, thus opening new possibilities in tongue muscle assessment both at global and single motor unit level.]]></description><subject>decomposition</subject><subject>Electrode technology</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>motor unit</subject><subject>Motors</subject><subject>Muscles</subject><subject>speech</subject><subject>Surface impedance</subject><subject>Task analysis</subject><subject>Tongue</subject><subject>tongue muscles</subject><issn>1534-4320</issn><issn>1558-0210</issn><issn>1558-0210</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkcFuGyEQhldVqyZN-wJVVXHMZR1Y2IU9VombWIpSqXXVIxpg2BCtFxfWB799cexEFQdm0D_fSHxV9ZnRBWO0v1o__Pq5XDS0EQsuyunom-qcta2qacPo20PNRS14Q8-qDzk_Ucpk18r31RnvqRS06c-rPzeYwzARmBxZY55J9KUmq2lOEBOMZDminVN0SG5TcMTHRNZxGnZI7sLwWN_glMO8f4lt9nFIsH3cf6zeeRgzfjrdF9Xv78v19V19_-N2df3tvractXON3DgraG-M68EzKVEwplroQHIhULjeW8VLA50xpqEOELmXgIy1PQPKL6rVkesiPOltChtIex0h6OeHmAYNaQ52RM17JbwoQANSYFniPDPKCGEtb4VqCuvyyNqm-HdXPkNvQrY4jjBh3GXNqepox1opSrQ5Rm2KOSf0r6sZ1Qc5-lmOPsjRJzll6OuJvzMbdK8jLzZK4MsxEBDxP2LHuBKK_wO9V5O2</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Botter, Alberto</creator><creator>Vieira, Taian</creator><creator>Busso, Chiara</creator><creator>Vitali, Federica</creator><creator>Gazzoni, Marco</creator><creator>Cerone, Giacinto L.</creator><general>IEEE</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5295-5314</orcidid><orcidid>https://orcid.org/0000-0002-3715-6987</orcidid><orcidid>https://orcid.org/0000-0002-6239-7301</orcidid><orcidid>https://orcid.org/0000-0002-4797-0667</orcidid><orcidid>https://orcid.org/0000-0001-5939-6212</orcidid></search><sort><creationdate>20240101</creationdate><title>Design and Test of an Intraoral Electrode Grid for Tongue High-Density Electromyography</title><author>Botter, Alberto ; Vieira, Taian ; Busso, Chiara ; Vitali, Federica ; Gazzoni, Marco ; Cerone, Giacinto L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c315t-e3bdc409bbd9af177e41185a6a7344e4d9fc83a73a6bbb20daee3f7ae11591a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>decomposition</topic><topic>Electrode technology</topic><topic>Electrodes</topic><topic>Electromyography</topic><topic>motor unit</topic><topic>Motors</topic><topic>Muscles</topic><topic>speech</topic><topic>Surface impedance</topic><topic>Task analysis</topic><topic>Tongue</topic><topic>tongue muscles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Botter, Alberto</creatorcontrib><creatorcontrib>Vieira, Taian</creatorcontrib><creatorcontrib>Busso, Chiara</creatorcontrib><creatorcontrib>Vitali, Federica</creatorcontrib><creatorcontrib>Gazzoni, Marco</creatorcontrib><creatorcontrib>Cerone, Giacinto L.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE transactions on neural systems and rehabilitation engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Botter, Alberto</au><au>Vieira, Taian</au><au>Busso, Chiara</au><au>Vitali, Federica</au><au>Gazzoni, Marco</au><au>Cerone, Giacinto L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design and Test of an Intraoral Electrode Grid for Tongue High-Density Electromyography</atitle><jtitle>IEEE transactions on neural systems and rehabilitation engineering</jtitle><stitle>TNSRE</stitle><addtitle>IEEE Trans Neural Syst Rehabil Eng</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>32</volume><spage>2805</spage><epage>2814</epage><pages>2805-2814</pages><issn>1534-4320</issn><issn>1558-0210</issn><eissn>1558-0210</eissn><coden>ITNSB3</coden><abstract><![CDATA[Tongue motor function is crucial in a wide range of basic activities and its impairment affects quality of life. The electrophysiological assessment of the tongue relies primarily on needle electromyography, which is limited by its invasiveness and inability to capture the concurrent activity of the different tongue muscles. This work aimed at developing an intraoral grid for high-density surface electromyography (HDsEMG) to non-invasively map the electrical excitation of tongue muscles. We developed a grid of <inline-formula> <tex-math notation="LaTeX">4\times 8 </tex-math></inline-formula> electrodes deposited over an adhesive 8-<inline-formula> <tex-math notation="LaTeX">\mu </tex-math></inline-formula>m thick polyurethane membrane. The testing protocol was conducted on 7 healthy participants and included functional tasks (vowels articulation and tongue movements) aimed at activating different regions of the tongue. The electrical stability of contact was assessed by measuring electrode-tongue impedances before and after the tasks. The spatial amplitude distribution of global EMG and single motor unit action potentials (MUAPs) was characterized. Electrode-tongue impedance magnitude showed no significant changes in the pre-post comparison (<inline-formula> <tex-math notation="LaTeX">58\pm 46 </tex-math></inline-formula>k<inline-formula> <tex-math notation="LaTeX">\Omega </tex-math></inline-formula> vs. <inline-formula> <tex-math notation="LaTeX">67\pm 58 </tex-math></inline-formula>k<inline-formula> <tex-math notation="LaTeX">\Omega </tex-math></inline-formula> at 50Hz). Contact stability was confirmed by the quality of the signals that allowed to quantify spatiotemporal characteristics of muscle activation during the different tasks. The analysis of the spatial distribution of individual MUAPs amplitude showed that they were confined to relatively small areas on the tongue surface (range: 0.5cm2 -3.9cm<inline-formula> <tex-math notation="LaTeX">^{{2}}\text {)} </tex-math></inline-formula>. A variety of different spatiotemporal MUAP patterns, likely due to the presence of different muscle compartments with different fiber orientations, were observed. Our results demonstrate that the developed electrode grid enables HDsEMG acquisition from the tongue during functional tasks, thus opening new possibilities in tongue muscle assessment both at global and single motor unit level.]]></abstract><cop>United States</cop><pub>IEEE</pub><pmid>39074029</pmid><doi>10.1109/TNSRE.2024.3434360</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5295-5314</orcidid><orcidid>https://orcid.org/0000-0002-3715-6987</orcidid><orcidid>https://orcid.org/0000-0002-6239-7301</orcidid><orcidid>https://orcid.org/0000-0002-4797-0667</orcidid><orcidid>https://orcid.org/0000-0001-5939-6212</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | decomposition Electrode technology Electrodes Electromyography motor unit Motors Muscles speech Surface impedance Task analysis Tongue tongue muscles |
title | Design and Test of an Intraoral Electrode Grid for Tongue High-Density Electromyography |
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