An EMG biofeedback device for video game use in forearm physiotherapy
While electromyography (EMG) is widely used in experimental physiotherapy (PT), its use as a diagnostic aid and supplementary tool in clinical PT remains limited. We report an integrated, wireless PT system for the forearm, which registers muscle movements via EMG, records and wirelessly transmits t...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Converse, Hayes Ferraro, Teressa Jean, Daniel Jones, Laura Mendhiratta, Vikas Naviasky, Emily Mang Par Rimlinger, Thomas Southall, Steven Sprenkle, Jason Abshire, Pamela |
description | While electromyography (EMG) is widely used in experimental physiotherapy (PT), its use as a diagnostic aid and supplementary tool in clinical PT remains limited. We report an integrated, wireless PT system for the forearm, which registers muscle movements via EMG, records and wirelessly transmits the data to a laptop computer, and runs software to discriminate between arm motions. The next step is to interface with a custom video game which responds to user movement and provides real-time biofeedback to the user, allowing them to visualize whether they are performing their PT exercise properly. Our device incorporates existing technologies into a functional ensemble compatible with both at-home and clinical use. Current testing (n=7 subjects) indicates that the sensor is capable of discriminating between 6 classes of PT exercises with 92% accuracy (2 classes with 96% accuracy). |
doi_str_mv | 10.1109/ICSENS.2013.6688474 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6688474</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6688474</ieee_id><sourcerecordid>6688474</sourcerecordid><originalsourceid>FETCH-LOGICAL-c140t-9886932d2001975f9c86e784d590ca869a4f5ac968df85f856970d9f5f6b7813</originalsourceid><addsrcrecordid>eNotj11LAkEYhacoaLV-gTfzB3Z753PnvRTZTLC60IvuZJx5J6fSlV0T_PcZCQcOPAceOIyNBFRCAD7OJovmdVFJEKqy1jld6ys2ENrWSlst369ZIYV1JUqJN6wQqKAEheaODfr-E0CCka5gzXjHm5cpX-c2EcW1D1880jEH4qnt-DFHavmH3xL_6Ynn3R8l3235fnPqc3vYUOf3p3t2m_x3Tw-XHrLlU7OcPJfzt-lsMp6XQWg4lOicRSWjBBBYm4TBWaqdjgYh-PPmdTI-oHUxOXOOxRoiJpPsunZCDdnoX5uJaLXv8tZ3p9XlvfoFrEZLpg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>An EMG biofeedback device for video game use in forearm physiotherapy</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Converse, Hayes ; Ferraro, Teressa ; Jean, Daniel ; Jones, Laura ; Mendhiratta, Vikas ; Naviasky, Emily ; Mang Par ; Rimlinger, Thomas ; Southall, Steven ; Sprenkle, Jason ; Abshire, Pamela</creator><creatorcontrib>Converse, Hayes ; Ferraro, Teressa ; Jean, Daniel ; Jones, Laura ; Mendhiratta, Vikas ; Naviasky, Emily ; Mang Par ; Rimlinger, Thomas ; Southall, Steven ; Sprenkle, Jason ; Abshire, Pamela</creatorcontrib><description>While electromyography (EMG) is widely used in experimental physiotherapy (PT), its use as a diagnostic aid and supplementary tool in clinical PT remains limited. We report an integrated, wireless PT system for the forearm, which registers muscle movements via EMG, records and wirelessly transmits the data to a laptop computer, and runs software to discriminate between arm motions. The next step is to interface with a custom video game which responds to user movement and provides real-time biofeedback to the user, allowing them to visualize whether they are performing their PT exercise properly. Our device incorporates existing technologies into a functional ensemble compatible with both at-home and clinical use. Current testing (n=7 subjects) indicates that the sensor is capable of discriminating between 6 classes of PT exercises with 92% accuracy (2 classes with 96% accuracy).</description><identifier>ISSN: 1930-0395</identifier><identifier>EISSN: 2168-9229</identifier><identifier>EISBN: 146734642X</identifier><identifier>EISBN: 9781467346429</identifier><identifier>DOI: 10.1109/ICSENS.2013.6688474</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Biological control systems ; Electrodes ; Electromyography ; Games ; Muscles ; Wrist</subject><ispartof>2013 IEEE SENSORS, 2013, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c140t-9886932d2001975f9c86e784d590ca869a4f5ac968df85f856970d9f5f6b7813</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6688474$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6688474$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Converse, Hayes</creatorcontrib><creatorcontrib>Ferraro, Teressa</creatorcontrib><creatorcontrib>Jean, Daniel</creatorcontrib><creatorcontrib>Jones, Laura</creatorcontrib><creatorcontrib>Mendhiratta, Vikas</creatorcontrib><creatorcontrib>Naviasky, Emily</creatorcontrib><creatorcontrib>Mang Par</creatorcontrib><creatorcontrib>Rimlinger, Thomas</creatorcontrib><creatorcontrib>Southall, Steven</creatorcontrib><creatorcontrib>Sprenkle, Jason</creatorcontrib><creatorcontrib>Abshire, Pamela</creatorcontrib><title>An EMG biofeedback device for video game use in forearm physiotherapy</title><title>2013 IEEE SENSORS</title><addtitle>ICSENS</addtitle><description>While electromyography (EMG) is widely used in experimental physiotherapy (PT), its use as a diagnostic aid and supplementary tool in clinical PT remains limited. We report an integrated, wireless PT system for the forearm, which registers muscle movements via EMG, records and wirelessly transmits the data to a laptop computer, and runs software to discriminate between arm motions. The next step is to interface with a custom video game which responds to user movement and provides real-time biofeedback to the user, allowing them to visualize whether they are performing their PT exercise properly. Our device incorporates existing technologies into a functional ensemble compatible with both at-home and clinical use. Current testing (n=7 subjects) indicates that the sensor is capable of discriminating between 6 classes of PT exercises with 92% accuracy (2 classes with 96% accuracy).</description><subject>Accuracy</subject><subject>Biological control systems</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>Games</subject><subject>Muscles</subject><subject>Wrist</subject><issn>1930-0395</issn><issn>2168-9229</issn><isbn>146734642X</isbn><isbn>9781467346429</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj11LAkEYhacoaLV-gTfzB3Z753PnvRTZTLC60IvuZJx5J6fSlV0T_PcZCQcOPAceOIyNBFRCAD7OJovmdVFJEKqy1jld6ys2ENrWSlst369ZIYV1JUqJN6wQqKAEheaODfr-E0CCka5gzXjHm5cpX-c2EcW1D1880jEH4qnt-DFHavmH3xL_6Ynn3R8l3235fnPqc3vYUOf3p3t2m_x3Tw-XHrLlU7OcPJfzt-lsMp6XQWg4lOicRSWjBBBYm4TBWaqdjgYh-PPmdTI-oHUxOXOOxRoiJpPsunZCDdnoX5uJaLXv8tZ3p9XlvfoFrEZLpg</recordid><startdate>201311</startdate><enddate>201311</enddate><creator>Converse, Hayes</creator><creator>Ferraro, Teressa</creator><creator>Jean, Daniel</creator><creator>Jones, Laura</creator><creator>Mendhiratta, Vikas</creator><creator>Naviasky, Emily</creator><creator>Mang Par</creator><creator>Rimlinger, Thomas</creator><creator>Southall, Steven</creator><creator>Sprenkle, Jason</creator><creator>Abshire, Pamela</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201311</creationdate><title>An EMG biofeedback device for video game use in forearm physiotherapy</title><author>Converse, Hayes ; Ferraro, Teressa ; Jean, Daniel ; Jones, Laura ; Mendhiratta, Vikas ; Naviasky, Emily ; Mang Par ; Rimlinger, Thomas ; Southall, Steven ; Sprenkle, Jason ; Abshire, Pamela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c140t-9886932d2001975f9c86e784d590ca869a4f5ac968df85f856970d9f5f6b7813</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Biological control systems</topic><topic>Electrodes</topic><topic>Electromyography</topic><topic>Games</topic><topic>Muscles</topic><topic>Wrist</topic><toplevel>online_resources</toplevel><creatorcontrib>Converse, Hayes</creatorcontrib><creatorcontrib>Ferraro, Teressa</creatorcontrib><creatorcontrib>Jean, Daniel</creatorcontrib><creatorcontrib>Jones, Laura</creatorcontrib><creatorcontrib>Mendhiratta, Vikas</creatorcontrib><creatorcontrib>Naviasky, Emily</creatorcontrib><creatorcontrib>Mang Par</creatorcontrib><creatorcontrib>Rimlinger, Thomas</creatorcontrib><creatorcontrib>Southall, Steven</creatorcontrib><creatorcontrib>Sprenkle, Jason</creatorcontrib><creatorcontrib>Abshire, Pamela</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>Converse, Hayes</au><au>Ferraro, Teressa</au><au>Jean, Daniel</au><au>Jones, Laura</au><au>Mendhiratta, Vikas</au><au>Naviasky, Emily</au><au>Mang Par</au><au>Rimlinger, Thomas</au><au>Southall, Steven</au><au>Sprenkle, Jason</au><au>Abshire, Pamela</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An EMG biofeedback device for video game use in forearm physiotherapy</atitle><btitle>2013 IEEE SENSORS</btitle><stitle>ICSENS</stitle><date>2013-11</date><risdate>2013</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>1930-0395</issn><eissn>2168-9229</eissn><eisbn>146734642X</eisbn><eisbn>9781467346429</eisbn><abstract>While electromyography (EMG) is widely used in experimental physiotherapy (PT), its use as a diagnostic aid and supplementary tool in clinical PT remains limited. We report an integrated, wireless PT system for the forearm, which registers muscle movements via EMG, records and wirelessly transmits the data to a laptop computer, and runs software to discriminate between arm motions. The next step is to interface with a custom video game which responds to user movement and provides real-time biofeedback to the user, allowing them to visualize whether they are performing their PT exercise properly. Our device incorporates existing technologies into a functional ensemble compatible with both at-home and clinical use. Current testing (n=7 subjects) indicates that the sensor is capable of discriminating between 6 classes of PT exercises with 92% accuracy (2 classes with 96% accuracy).</abstract><pub>IEEE</pub><doi>10.1109/ICSENS.2013.6688474</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1930-0395 |
ispartof | 2013 IEEE SENSORS, 2013, p.1-4 |
issn | 1930-0395 2168-9229 |
language | eng |
recordid | cdi_ieee_primary_6688474 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Accuracy Biological control systems Electrodes Electromyography Games Muscles Wrist |
title | An EMG biofeedback device for video game use in forearm physiotherapy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T15%3A43%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=An%20EMG%20biofeedback%20device%20for%20video%20game%20use%20in%20forearm%20physiotherapy&rft.btitle=2013%20IEEE%20SENSORS&rft.au=Converse,%20Hayes&rft.date=2013-11&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.issn=1930-0395&rft.eissn=2168-9229&rft_id=info:doi/10.1109/ICSENS.2013.6688474&rft_dat=%3Cieee_6IE%3E6688474%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=146734642X&rft.eisbn_list=9781467346429&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6688474&rfr_iscdi=true |