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Design of a biofeedback device for gait rehabilitation in post-stroke patients
A novel device, named `Walk-Even', was developed to measure human gait and provide real-time feedback to correct gait asymmetry. Gait asymmetry is usually exhibited in patients with stroke or with certain neurological disorders. Our device can measure the weight pressure distribution that the p...
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creator | I-Hung Khoo Marayong, Panadda Krishnan, Vennila Balagtas, Michael Nico Rojas, Omar |
description | A novel device, named `Walk-Even', was developed to measure human gait and provide real-time feedback to correct gait asymmetry. Gait asymmetry is usually exhibited in patients with stroke or with certain neurological disorders. Our device can measure the weight pressure distribution that the patient exerts on each foot, in addition to the gait time, swing time, and stance time of each leg while walking. Based on the real time information, a biofeedback is given by means of auditory, and unpleasant electrotactile stimulation to actively correct gait asymmetry. The device consists of custom insoles with embedded force sensors adjustable to fit any shoe size, electrotactile and auditory feedback circuits, microcontroller, and wireless XBee transceivers. We compared the gait measurements from our device with that of a commercial device (MobilityLab) to verify its accuracy. Preliminary testing on post-stroke patients has shown that our device helps to improve their gait symmetry. |
doi_str_mv | 10.1109/MWSCAS.2015.7282097 |
format | conference_proceeding |
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Gait asymmetry is usually exhibited in patients with stroke or with certain neurological disorders. Our device can measure the weight pressure distribution that the patient exerts on each foot, in addition to the gait time, swing time, and stance time of each leg while walking. Based on the real time information, a biofeedback is given by means of auditory, and unpleasant electrotactile stimulation to actively correct gait asymmetry. The device consists of custom insoles with embedded force sensors adjustable to fit any shoe size, electrotactile and auditory feedback circuits, microcontroller, and wireless XBee transceivers. We compared the gait measurements from our device with that of a commercial device (MobilityLab) to verify its accuracy. Preliminary testing on post-stroke patients has shown that our device helps to improve their gait symmetry.</description><identifier>ISSN: 1548-3746</identifier><identifier>EISSN: 1558-3899</identifier><identifier>EISBN: 9781467365581</identifier><identifier>EISBN: 1467365580</identifier><identifier>DOI: 10.1109/MWSCAS.2015.7282097</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biological control systems ; Foot ; Force ; Microcontrollers ; Testing ; Wireless communication ; Wireless sensor networks</subject><ispartof>2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), 2015, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7282097$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7282097$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>I-Hung Khoo</creatorcontrib><creatorcontrib>Marayong, Panadda</creatorcontrib><creatorcontrib>Krishnan, Vennila</creatorcontrib><creatorcontrib>Balagtas, Michael Nico</creatorcontrib><creatorcontrib>Rojas, Omar</creatorcontrib><title>Design of a biofeedback device for gait rehabilitation in post-stroke patients</title><title>2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS)</title><addtitle>MWSCAS</addtitle><description>A novel device, named `Walk-Even', was developed to measure human gait and provide real-time feedback to correct gait asymmetry. Gait asymmetry is usually exhibited in patients with stroke or with certain neurological disorders. Our device can measure the weight pressure distribution that the patient exerts on each foot, in addition to the gait time, swing time, and stance time of each leg while walking. Based on the real time information, a biofeedback is given by means of auditory, and unpleasant electrotactile stimulation to actively correct gait asymmetry. The device consists of custom insoles with embedded force sensors adjustable to fit any shoe size, electrotactile and auditory feedback circuits, microcontroller, and wireless XBee transceivers. We compared the gait measurements from our device with that of a commercial device (MobilityLab) to verify its accuracy. Preliminary testing on post-stroke patients has shown that our device helps to improve their gait symmetry.</description><subject>Biological control systems</subject><subject>Foot</subject><subject>Force</subject><subject>Microcontrollers</subject><subject>Testing</subject><subject>Wireless communication</subject><subject>Wireless sensor networks</subject><issn>1548-3746</issn><issn>1558-3899</issn><isbn>9781467365581</isbn><isbn>1467365580</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2015</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkLlOAzEURQ0CiRDyBWn8AzN4X8oorFKAIiDKyMtzMAkz0dhC4u8ZRKpzdItTXITmlLSUEnv99L5eLtYtI1S2mhlGrD5BM6sNFUpzJaWhp2hCRzbcWHv252J0LdQFuizlkxDGNbUT9HwDJW873CfssM99AojehR2O8J0D4NQPeOtyxQN8OJ_3ubqa-w7nDh_6UptSh34H-DCu0NVyhc6T2xeYHTlFb3e3r8uHZvVy_7hcrJrMiKmNAqZisqACuOisNZpHYDLF6EPw1KgUZeTSRSFECNQZZ0OklgsvhUva8yma_3czAGwOQ_5yw8_meAX_BSFEUwg</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>I-Hung Khoo</creator><creator>Marayong, Panadda</creator><creator>Krishnan, Vennila</creator><creator>Balagtas, Michael Nico</creator><creator>Rojas, Omar</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20150801</creationdate><title>Design of a biofeedback device for gait rehabilitation in post-stroke patients</title><author>I-Hung Khoo ; Marayong, Panadda ; Krishnan, Vennila ; Balagtas, Michael Nico ; Rojas, Omar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i208t-6e26df9e6ceada99873de25fddbccb186fd5d35ad444cc1a8a9cd1934b54af7b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Biological control systems</topic><topic>Foot</topic><topic>Force</topic><topic>Microcontrollers</topic><topic>Testing</topic><topic>Wireless communication</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>I-Hung Khoo</creatorcontrib><creatorcontrib>Marayong, Panadda</creatorcontrib><creatorcontrib>Krishnan, Vennila</creatorcontrib><creatorcontrib>Balagtas, Michael Nico</creatorcontrib><creatorcontrib>Rojas, Omar</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 Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>I-Hung Khoo</au><au>Marayong, Panadda</au><au>Krishnan, Vennila</au><au>Balagtas, Michael Nico</au><au>Rojas, Omar</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Design of a biofeedback device for gait rehabilitation in post-stroke patients</atitle><btitle>2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS)</btitle><stitle>MWSCAS</stitle><date>2015-08-01</date><risdate>2015</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>1548-3746</issn><eissn>1558-3899</eissn><eisbn>9781467365581</eisbn><eisbn>1467365580</eisbn><abstract>A novel device, named `Walk-Even', was developed to measure human gait and provide real-time feedback to correct gait asymmetry. Gait asymmetry is usually exhibited in patients with stroke or with certain neurological disorders. Our device can measure the weight pressure distribution that the patient exerts on each foot, in addition to the gait time, swing time, and stance time of each leg while walking. Based on the real time information, a biofeedback is given by means of auditory, and unpleasant electrotactile stimulation to actively correct gait asymmetry. The device consists of custom insoles with embedded force sensors adjustable to fit any shoe size, electrotactile and auditory feedback circuits, microcontroller, and wireless XBee transceivers. We compared the gait measurements from our device with that of a commercial device (MobilityLab) to verify its accuracy. Preliminary testing on post-stroke patients has shown that our device helps to improve their gait symmetry.</abstract><pub>IEEE</pub><doi>10.1109/MWSCAS.2015.7282097</doi><tpages>4</tpages></addata></record> |
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ispartof | 2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), 2015, p.1-4 |
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source | IEEE Xplore All Conference Series |
subjects | Biological control systems Foot Force Microcontrollers Testing Wireless communication Wireless sensor networks |
title | Design of a biofeedback device for gait rehabilitation in post-stroke patients |
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