Body sensor network based prosthesis training system for leg-amputees
In the past, the utilization of the limb prosthesis has improved the daily life of amputees or patients with movement disorders. However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis c...
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| creator | Chenn-Jung Huang Chin-Fa Lin Po-Yen Tsai Yu-Wu Wang Ching-Yu Li Hen-Ming Chen Jia-Jian Liao |
| description | In the past, the utilization of the limb prosthesis has improved the daily life of amputees or patients with movement disorders. However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis correctly in her/his daily life. This work proposes a prosthesis training system to allow the amputees to train themselves. Instant feedback messages provided by the prosthesis training system are used to correct their walking postures during the self-training process. An embedded chip is used as a core to establish a body area sensor network for the prosthesis training system. RFID readers and tags are employed to acquire the 3D positioning information of the amputee's limbs in this work to assist in diagnosing the amputee's walking problem. The simulation results exhibit the effectiveness and practicability of the proposed prosthesis training system. |
| doi_str_mv | 10.1109/IEEM.2010.5674637 |
| format | Conference Proceeding |
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However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis correctly in her/his daily life. This work proposes a prosthesis training system to allow the amputees to train themselves. Instant feedback messages provided by the prosthesis training system are used to correct their walking postures during the self-training process. An embedded chip is used as a core to establish a body area sensor network for the prosthesis training system. RFID readers and tags are employed to acquire the 3D positioning information of the amputee's limbs in this work to assist in diagnosing the amputee's walking problem. The simulation results exhibit the effectiveness and practicability of the proposed prosthesis training system.</description><identifier>ISSN: 2157-3611</identifier><identifier>ISBN: 9781424485017</identifier><identifier>ISBN: 1424485010</identifier><identifier>EISSN: 2157-362X</identifier><identifier>EISBN: 9781424485031</identifier><identifier>EISBN: 9781424485024</identifier><identifier>EISBN: 1424485037</identifier><identifier>EISBN: 1424485029</identifier><identifier>DOI: 10.1109/IEEM.2010.5674637</identifier><language>eng</language><publisher>IEEE</publisher><subject>body area network ; Decision trees ; embedded chip ; healthcare ; Knee ; leg-amputation ; prosthesis ; Prosthetics ; Radiofrequency identification ; RFID ; Thigh ; Training</subject><ispartof>2010 IEEE International Conference on Industrial Engineering and Engineering Management, 2010, p.1957-1961</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/5674637$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5674637$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chenn-Jung Huang</creatorcontrib><creatorcontrib>Chin-Fa Lin</creatorcontrib><creatorcontrib>Po-Yen Tsai</creatorcontrib><creatorcontrib>Yu-Wu Wang</creatorcontrib><creatorcontrib>Ching-Yu Li</creatorcontrib><creatorcontrib>Hen-Ming Chen</creatorcontrib><creatorcontrib>Jia-Jian Liao</creatorcontrib><title>Body sensor network based prosthesis training system for leg-amputees</title><title>2010 IEEE International Conference on Industrial Engineering and Engineering Management</title><addtitle>IEEM</addtitle><description>In the past, the utilization of the limb prosthesis has improved the daily life of amputees or patients with movement disorders. However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis correctly in her/his daily life. This work proposes a prosthesis training system to allow the amputees to train themselves. Instant feedback messages provided by the prosthesis training system are used to correct their walking postures during the self-training process. An embedded chip is used as a core to establish a body area sensor network for the prosthesis training system. RFID readers and tags are employed to acquire the 3D positioning information of the amputee's limbs in this work to assist in diagnosing the amputee's walking problem. The simulation results exhibit the effectiveness and practicability of the proposed prosthesis training system.</description><subject>body area network</subject><subject>Decision trees</subject><subject>embedded chip</subject><subject>healthcare</subject><subject>Knee</subject><subject>leg-amputation</subject><subject>prosthesis</subject><subject>Prosthetics</subject><subject>Radiofrequency identification</subject><subject>RFID</subject><subject>Thigh</subject><subject>Training</subject><issn>2157-3611</issn><issn>2157-362X</issn><isbn>9781424485017</isbn><isbn>1424485010</isbn><isbn>9781424485031</isbn><isbn>9781424485024</isbn><isbn>1424485037</isbn><isbn>1424485029</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkEtLw0AUhccXWGp-gLiZP5A6d17JLLWkWqi46cJdmWRuarR5kDsi_fcGLIKrw-E7HDiHsVsQCwDh7tdF8bKQYrLGZtqq7IwlLstBS61zIxScs5kEk6XKyreLfwyyyz8GcM0Sog8hBMjcSmdnrHjsw5ETdtSPvMP43Y-fvPSEgQ9jT_EdqSEeR990TbfndKSILa-n8AH3qW-Hr4hIN-yq9gfC5KRztl0V2-Vzunl9Wi8fNmnjRExNWUIm0QStbF0HVUKVu1JDKVTwNig1TXEaqwBWYqhELYyxKLyprQYIRs3Z3W9tg4i7YWxaPx53p0_UD9X1UTs</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Chenn-Jung Huang</creator><creator>Chin-Fa Lin</creator><creator>Po-Yen Tsai</creator><creator>Yu-Wu Wang</creator><creator>Ching-Yu Li</creator><creator>Hen-Ming Chen</creator><creator>Jia-Jian Liao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201012</creationdate><title>Body sensor network based prosthesis training system for leg-amputees</title><author>Chenn-Jung Huang ; Chin-Fa Lin ; Po-Yen Tsai ; Yu-Wu Wang ; Ching-Yu Li ; Hen-Ming Chen ; Jia-Jian Liao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-5bb172e5d436ffd3b1c89b41b03da6d3350394ecd162edc0f0556e0a5f6411d53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>body area network</topic><topic>Decision trees</topic><topic>embedded chip</topic><topic>healthcare</topic><topic>Knee</topic><topic>leg-amputation</topic><topic>prosthesis</topic><topic>Prosthetics</topic><topic>Radiofrequency identification</topic><topic>RFID</topic><topic>Thigh</topic><topic>Training</topic><toplevel>online_resources</toplevel><creatorcontrib>Chenn-Jung Huang</creatorcontrib><creatorcontrib>Chin-Fa Lin</creatorcontrib><creatorcontrib>Po-Yen Tsai</creatorcontrib><creatorcontrib>Yu-Wu Wang</creatorcontrib><creatorcontrib>Ching-Yu Li</creatorcontrib><creatorcontrib>Hen-Ming Chen</creatorcontrib><creatorcontrib>Jia-Jian Liao</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></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chenn-Jung Huang</au><au>Chin-Fa Lin</au><au>Po-Yen Tsai</au><au>Yu-Wu Wang</au><au>Ching-Yu Li</au><au>Hen-Ming Chen</au><au>Jia-Jian Liao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Body sensor network based prosthesis training system for leg-amputees</atitle><btitle>2010 IEEE International Conference on Industrial Engineering and Engineering Management</btitle><stitle>IEEM</stitle><date>2010-12</date><risdate>2010</risdate><spage>1957</spage><epage>1961</epage><pages>1957-1961</pages><issn>2157-3611</issn><eissn>2157-362X</eissn><isbn>9781424485017</isbn><isbn>1424485010</isbn><eisbn>9781424485031</eisbn><eisbn>9781424485024</eisbn><eisbn>1424485037</eisbn><eisbn>1424485029</eisbn><abstract>In the past, the utilization of the limb prosthesis has improved the daily life of amputees or patients with movement disorders. However, a leg-amputee has to take a series of training after wearing a limb prosthesis, and the training results determine whether a patient can use the limb prosthesis correctly in her/his daily life. This work proposes a prosthesis training system to allow the amputees to train themselves. Instant feedback messages provided by the prosthesis training system are used to correct their walking postures during the self-training process. An embedded chip is used as a core to establish a body area sensor network for the prosthesis training system. RFID readers and tags are employed to acquire the 3D positioning information of the amputee's limbs in this work to assist in diagnosing the amputee's walking problem. The simulation results exhibit the effectiveness and practicability of the proposed prosthesis training system.</abstract><pub>IEEE</pub><doi>10.1109/IEEM.2010.5674637</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2157-3611 |
| ispartof | 2010 IEEE International Conference on Industrial Engineering and Engineering Management, 2010, p.1957-1961 |
| issn | 2157-3611 2157-362X |
| language | eng |
| recordid | cdi_ieee_primary_5674637 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | body area network Decision trees embedded chip healthcare Knee leg-amputation prosthesis Prosthetics Radiofrequency identification RFID Thigh Training |
| title | Body sensor network based prosthesis training system for leg-amputees |
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