SQUID: Sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation
Stroke is a leading cause of serious long-term disability in the United States. There is a need for new technological adjuncts to expedite patients' scheduled discharge from hospital and pursue rehabilitation procedure at home. SQUID is a low-cost, smart shirt that incorporates a six-channel el...
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| creator | Farjadian, Amir B. Sivak, Mark L. Mavroidis, Constantinos |
| description | Stroke is a leading cause of serious long-term disability in the United States. There is a need for new technological adjuncts to expedite patients' scheduled discharge from hospital and pursue rehabilitation procedure at home. SQUID is a low-cost, smart shirt that incorporates a six-channel electromyography (EMG) and heart rate data acquisition module to deliver objective audiovisual and haptic biofeedback to the patient. The sensorized shirt is interfaced with a smartphone application, for the subject's usage at home, as well as the online database, for the therapist's remote supervision from hospital. A single healthy subject was recruited to investigate the system functionality during improperly performed exercise. The system can potentially be used in automated, remote monitoring of variety of physical therapy exercises, rooted in strength or coordination training of specific muscle groups. |
| doi_str_mv | 10.1109/ICORR.2013.6650451 |
| format | Conference Proceeding |
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The system can potentially be used in automated, remote monitoring of variety of physical therapy exercises, rooted in strength or coordination training of specific muscle groups.</description><subject>Biofeedback</subject><subject>Biological control systems</subject><subject>Biomedical monitoring</subject><subject>Cell Phone</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>Exercise</subject><subject>Exercise monitoring</subject><subject>Heart rate</subject><subject>Home Care Services</subject><subject>Home rehabilitation</subject><subject>Humans</subject><subject>Monitoring, Physiologic - instrumentation</subject><subject>Muscles</subject><subject>Sensors</subject><subject>Smartphone</subject><subject>Stroke - physiopathology</subject><subject>Stroke Rehabilitation</subject><subject>User-Computer Interface</subject><subject>Wearable sensors</subject><issn>1945-7898</issn><issn>1945-7901</issn><isbn>9781467360227</isbn><isbn>1467360228</isbn><isbn>9781467360241</isbn><isbn>1467360244</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpVkctOwzAQRc1LtCr9AZCQl2xS_IrtsEPlValSRUvXkRtPiFGTFNsVj68nUgsSq1mcc0e6MwidUzKilGTXk_FsPh8xQvlIypSIlB6gYaY0FVJxSZigh6hPM5EmKiP06B9j6viX6Uz30DCEN0IIVVJRkp6iXpfWikndR2bxvJzc3eAFNKH17hssDpXzEX-4WOFQGx83VdsAdk0EX5oCcNl6DJ_gCxcA123jYhdsXrFpLK7aGrCHyqzc2kUTXducoZPSrAMM93OAlg_3L-OnZDp7nIxvp4ljnMbEGiYNsaWwK8oKW5bWaM4JLyzNUguMWM2NKgXRQhCZaq6E0oxlBSmYZKXlA3S127vx7fsWQsxrFwpYr00D7TbkVIiMdaU569TLvbpd1WDzjXdd0a_89yydcLETHAD84f0f-A8isXUF</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Farjadian, Amir B.</creator><creator>Sivak, Mark L.</creator><creator>Mavroidis, Constantinos</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>201306</creationdate><title>SQUID: Sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation</title><author>Farjadian, Amir B. ; Sivak, Mark L. ; Mavroidis, Constantinos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i231t-da26a0df4db12cdffda83303cd195de20d83a7f40844065837478229c0c262fd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Biofeedback</topic><topic>Biological control systems</topic><topic>Biomedical monitoring</topic><topic>Cell Phone</topic><topic>Electrodes</topic><topic>Electromyography</topic><topic>Exercise</topic><topic>Exercise monitoring</topic><topic>Heart rate</topic><topic>Home Care Services</topic><topic>Home rehabilitation</topic><topic>Humans</topic><topic>Monitoring, Physiologic - instrumentation</topic><topic>Muscles</topic><topic>Sensors</topic><topic>Smartphone</topic><topic>Stroke - physiopathology</topic><topic>Stroke Rehabilitation</topic><topic>User-Computer Interface</topic><topic>Wearable sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Farjadian, Amir B.</creatorcontrib><creatorcontrib>Sivak, Mark L.</creatorcontrib><creatorcontrib>Mavroidis, Constantinos</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Farjadian, Amir B.</au><au>Sivak, Mark L.</au><au>Mavroidis, Constantinos</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>SQUID: Sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation</atitle><btitle>2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)</btitle><stitle>ICORR</stitle><addtitle>IEEE Int Conf Rehabil Robot</addtitle><date>2013-06</date><risdate>2013</risdate><volume>2013</volume><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>1945-7898</issn><eissn>1945-7901</eissn><isbn>9781467360227</isbn><isbn>1467360228</isbn><eisbn>9781467360241</eisbn><eisbn>1467360244</eisbn><abstract>Stroke is a leading cause of serious long-term disability in the United States. There is a need for new technological adjuncts to expedite patients' scheduled discharge from hospital and pursue rehabilitation procedure at home. SQUID is a low-cost, smart shirt that incorporates a six-channel electromyography (EMG) and heart rate data acquisition module to deliver objective audiovisual and haptic biofeedback to the patient. The sensorized shirt is interfaced with a smartphone application, for the subject's usage at home, as well as the online database, for the therapist's remote supervision from hospital. A single healthy subject was recruited to investigate the system functionality during improperly performed exercise. The system can potentially be used in automated, remote monitoring of variety of physical therapy exercises, rooted in strength or coordination training of specific muscle groups.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>24187268</pmid><doi>10.1109/ICORR.2013.6650451</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1945-7898 |
| ispartof | 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013, Vol.2013, p.1-6 |
| issn | 1945-7898 1945-7901 |
| language | eng |
| recordid | cdi_ieee_primary_6650451 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biofeedback Biological control systems Biomedical monitoring Cell Phone Electrodes Electromyography Exercise Exercise monitoring Heart rate Home Care Services Home rehabilitation Humans Monitoring, Physiologic - instrumentation Muscles Sensors Smartphone Stroke - physiopathology Stroke Rehabilitation User-Computer Interface Wearable sensors |
| title | SQUID: Sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation |
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