A fall detection and near-fall data collection system
The FANFARE project has developed a system to fulfill the need for a wearable device to collect data for fall analysis. The system consists of a computer and a wireless sensor network to measure, display and store fall related parameters such as postural activities and heart rate variability. Ease o...
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| creator | Dinh, A. Teng, D. Chen, L. Shi, Y. McCrosky, C. Basran, J. Del Bello-Hass, V. Ko, S.B. Ralhan, A. Williams, D. Windels, N. Choudhury, A. |
| description | The FANFARE project has developed a system to fulfill the need for a wearable device to collect data for fall analysis. The system consists of a computer and a wireless sensor network to measure, display and store fall related parameters such as postural activities and heart rate variability. Ease of use and low power were considered in the design. The system was built and successfully tested. Medical community now has the tool to collect and analyze fall related data for the purpose of detection and prevention of unintentional falls. |
| doi_str_mv | 10.1109/MNRC.2008.4683392 |
| format | Conference Proceeding |
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Medical community now has the tool to collect and analyze fall related data for the purpose of detection and prevention of unintentional falls.</description><identifier>ISBN: 9781424429202</identifier><identifier>ISBN: 142442920X</identifier><identifier>EISBN: 1424429218</identifier><identifier>EISBN: 9781424429219</identifier><identifier>DOI: 10.1109/MNRC.2008.4683392</identifier><identifier>LCCN: 2008908397</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accelerometers ; Biomedical monitoring ; Computer displays ; Computer networks ; Condition monitoring ; Data analysis ; data collection ; fall detection ; Heart rate variability ; near-fall ; Patient monitoring ; Senior citizens ; Wireless sensor networks ; wireless sensors nestwork ; Zigbee</subject><ispartof>2008 1st Microsystems and Nanoelectronics Research Conference, 2008, p.117-120</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/4683392$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4683392$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dinh, A.</creatorcontrib><creatorcontrib>Teng, D.</creatorcontrib><creatorcontrib>Chen, L.</creatorcontrib><creatorcontrib>Shi, Y.</creatorcontrib><creatorcontrib>McCrosky, C.</creatorcontrib><creatorcontrib>Basran, J.</creatorcontrib><creatorcontrib>Del Bello-Hass, V.</creatorcontrib><creatorcontrib>Ko, S.B.</creatorcontrib><creatorcontrib>Ralhan, A.</creatorcontrib><creatorcontrib>Williams, D.</creatorcontrib><creatorcontrib>Windels, N.</creatorcontrib><creatorcontrib>Choudhury, A.</creatorcontrib><title>A fall detection and near-fall data collection system</title><title>2008 1st Microsystems and Nanoelectronics Research Conference</title><addtitle>MNRC</addtitle><description>The FANFARE project has developed a system to fulfill the need for a wearable device to collect data for fall analysis. The system consists of a computer and a wireless sensor network to measure, display and store fall related parameters such as postural activities and heart rate variability. Ease of use and low power were considered in the design. The system was built and successfully tested. Medical community now has the tool to collect and analyze fall related data for the purpose of detection and prevention of unintentional falls.</description><subject>Accelerometers</subject><subject>Biomedical monitoring</subject><subject>Computer displays</subject><subject>Computer networks</subject><subject>Condition monitoring</subject><subject>Data analysis</subject><subject>data collection</subject><subject>fall detection</subject><subject>Heart rate variability</subject><subject>near-fall</subject><subject>Patient monitoring</subject><subject>Senior citizens</subject><subject>Wireless sensor networks</subject><subject>wireless sensors nestwork</subject><subject>Zigbee</subject><isbn>9781424429202</isbn><isbn>142442920X</isbn><isbn>1424429218</isbn><isbn>9781424429219</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T11LxDAQjMiB3tkfIL7kD7TuJtkmeTyKX3AqiD4fabqFSq8nbV7u31u5Oi_DzgzDjhC3CAUi-PvXt4-qUACuMKXT2qsLsUajjFFeobsUmbfu_wa1Euu_rAenvb0S2TR9wwwiR4quBW1lG_peNpw4pu44yDA0cuAw5mc9pCDjse8XdzpNiQ83YjW7E2cLb8TX48Nn9Zzv3p9equ0u79BSyplRm-g0GeaWSc3v2NoG60lrUrHFCDVCbQkY2QEGXyOFyE00EF1Z6o24O_d2zLz_GbtDGE_7Zbb-BfS5R9k</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Dinh, A.</creator><creator>Teng, D.</creator><creator>Chen, L.</creator><creator>Shi, Y.</creator><creator>McCrosky, C.</creator><creator>Basran, J.</creator><creator>Del Bello-Hass, V.</creator><creator>Ko, S.B.</creator><creator>Ralhan, A.</creator><creator>Williams, D.</creator><creator>Windels, N.</creator><creator>Choudhury, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200810</creationdate><title>A fall detection and near-fall data collection system</title><author>Dinh, A. ; Teng, D. ; Chen, L. ; Shi, Y. ; McCrosky, C. ; Basran, J. ; Del Bello-Hass, V. ; Ko, S.B. ; Ralhan, A. ; Williams, D. ; Windels, N. ; Choudhury, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ee134c8354eefe522027b7a7953352cf1c0b10b750e1e801a9b15acedc40c8663</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Accelerometers</topic><topic>Biomedical monitoring</topic><topic>Computer displays</topic><topic>Computer networks</topic><topic>Condition monitoring</topic><topic>Data analysis</topic><topic>data collection</topic><topic>fall detection</topic><topic>Heart rate variability</topic><topic>near-fall</topic><topic>Patient monitoring</topic><topic>Senior citizens</topic><topic>Wireless sensor networks</topic><topic>wireless sensors nestwork</topic><topic>Zigbee</topic><toplevel>online_resources</toplevel><creatorcontrib>Dinh, A.</creatorcontrib><creatorcontrib>Teng, D.</creatorcontrib><creatorcontrib>Chen, L.</creatorcontrib><creatorcontrib>Shi, Y.</creatorcontrib><creatorcontrib>McCrosky, C.</creatorcontrib><creatorcontrib>Basran, J.</creatorcontrib><creatorcontrib>Del Bello-Hass, V.</creatorcontrib><creatorcontrib>Ko, S.B.</creatorcontrib><creatorcontrib>Ralhan, A.</creatorcontrib><creatorcontrib>Williams, D.</creatorcontrib><creatorcontrib>Windels, N.</creatorcontrib><creatorcontrib>Choudhury, A.</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>Dinh, A.</au><au>Teng, D.</au><au>Chen, L.</au><au>Shi, Y.</au><au>McCrosky, C.</au><au>Basran, J.</au><au>Del Bello-Hass, V.</au><au>Ko, S.B.</au><au>Ralhan, A.</au><au>Williams, D.</au><au>Windels, N.</au><au>Choudhury, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A fall detection and near-fall data collection system</atitle><btitle>2008 1st Microsystems and Nanoelectronics Research Conference</btitle><stitle>MNRC</stitle><date>2008-10</date><risdate>2008</risdate><spage>117</spage><epage>120</epage><pages>117-120</pages><isbn>9781424429202</isbn><isbn>142442920X</isbn><eisbn>1424429218</eisbn><eisbn>9781424429219</eisbn><abstract>The FANFARE project has developed a system to fulfill the need for a wearable device to collect data for fall analysis. The system consists of a computer and a wireless sensor network to measure, display and store fall related parameters such as postural activities and heart rate variability. Ease of use and low power were considered in the design. The system was built and successfully tested. Medical community now has the tool to collect and analyze fall related data for the purpose of detection and prevention of unintentional falls.</abstract><pub>IEEE</pub><doi>10.1109/MNRC.2008.4683392</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781424429202 |
| ispartof | 2008 1st Microsystems and Nanoelectronics Research Conference, 2008, p.117-120 |
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| language | eng |
| recordid | cdi_ieee_primary_4683392 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accelerometers Biomedical monitoring Computer displays Computer networks Condition monitoring Data analysis data collection fall detection Heart rate variability near-fall Patient monitoring Senior citizens Wireless sensor networks wireless sensors nestwork Zigbee |
| title | A fall detection and near-fall data collection system |
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