Automatic Evaluation of the 30-s Chair Stand Test Using Inertial/Magnetic-Based Technology in an Older Prefrail Population
The aim of this study was to evaluate the inertial measures of the 30-s chair stand test using modern body-fixed motion sensors. Polynomial data fitting was used to correct the drift effect in the position estimation. Thereafter, the three most important test cycles phases ("impulse," &quo...
Gespeichert in:
| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2013-07, Vol.17 (4), p.820-827 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 827 |
|---|---|
| container_issue | 4 |
| container_start_page | 820 |
| container_title | IEEE journal of biomedical and health informatics |
| container_volume | 17 |
| creator | Millor, N. Lecumberri, P. Gomez, M. Martinez-Ramirez, A. Rodriguez-Manas, L. Garcia-Garcia, F. J. Izquierdo, M. |
| description | The aim of this study was to evaluate the inertial measures of the 30-s chair stand test using modern body-fixed motion sensors. Polynomial data fitting was used to correct the drift effect in the position estimation. Thereafter, the three most important test cycles phases ("impulse," "stand up," and "sit down") were characterized and automatically analyzed. Automated test control is provided, making it possible for researchers without engineering knowledge to run the test. A collection of meaningful data based on kinematic variables is selected for further research. The proposed methodology for data analysis is a feasible tool for use in clinical settings. This method may not only improve rehabilitation therapies but also identify people at risk for falls more accurately than simply evaluating the number of cycles. |
| doi_str_mv | 10.1109/JBHI.2013.2238243 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1373404542</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6472000</ieee_id><sourcerecordid>1671590075</sourcerecordid><originalsourceid>FETCH-LOGICAL-c415t-a8f7018d90d2119df975211bf89daf661aa0aaba0192a91a7a157c495684924a3</originalsourceid><addsrcrecordid>eNqNkk9vEzEQxVcIRKvSD4CQkCUuXDb1-M_aPrZRoUFFrUR7tia73sTVxg72bqXy6XFI2gMX8MVP9m_eaPxcVe-BzgCoOft2cbWYMQp8xhjXTPBX1TGDRteMUf36WYMRR9Vpzg-0LF2OTPO2OmKSSsmBHle_zqcxbnD0Lbl8xGEqKgYSezKuHeG0zmS-Rp_IjxFDR-5cHsl99mFFFsGl0eNw9h1XwZX6-gKz2yHtOsQhrp6IDwQDuRk6l8htcn1CP5DbuJ2GP13eVW96HLI7Pewn1f2Xy7v5VX1983UxP7-uWwFyrFH3ioLuDO0YgOl6o2QRy16bDvumAUSKuEQKhqEBVAhStcLIRgvDBPKT6vPed5viz6lMYDc-t24YMLg4ZQuNAmkoVfLfqBS64cD_BxXAJCgtVUE__YU-xCmFMrMtVlxQIQUrFOypNsWcy3PZbfIbTE8WqN0lbneJ213i9pB4qfl4cJ6WG9e9VDznW4APe8A7516uG6FY-Q78N3Q1rDQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1373404542</pqid></control><display><type>article</type><title>Automatic Evaluation of the 30-s Chair Stand Test Using Inertial/Magnetic-Based Technology in an Older Prefrail Population</title><source>IEEE Electronic Library (IEL)</source><creator>Millor, N. ; Lecumberri, P. ; Gomez, M. ; Martinez-Ramirez, A. ; Rodriguez-Manas, L. ; Garcia-Garcia, F. J. ; Izquierdo, M.</creator><creatorcontrib>Millor, N. ; Lecumberri, P. ; Gomez, M. ; Martinez-Ramirez, A. ; Rodriguez-Manas, L. ; Garcia-Garcia, F. J. ; Izquierdo, M.</creatorcontrib><description>The aim of this study was to evaluate the inertial measures of the 30-s chair stand test using modern body-fixed motion sensors. Polynomial data fitting was used to correct the drift effect in the position estimation. Thereafter, the three most important test cycles phases ("impulse," "stand up," and "sit down") were characterized and automatically analyzed. Automated test control is provided, making it possible for researchers without engineering knowledge to run the test. A collection of meaningful data based on kinematic variables is selected for further research. The proposed methodology for data analysis is a feasible tool for use in clinical settings. This method may not only improve rehabilitation therapies but also identify people at risk for falls more accurately than simply evaluating the number of cycles.</description><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/JBHI.2013.2238243</identifier><identifier>PMID: 25055310</identifier><identifier>CODEN: IJBHA9</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>30-s chair stand test ; Acceleration ; Accelerometer ; Accelerometry - methods ; Aged ; Aged, 80 and over ; Biomechanical Phenomena - physiology ; Chairs ; Female ; Fiducial Markers ; Fittings ; frailty ; Government ; gyroscope ; Humans ; Inertial ; Kinematics ; Magnets ; Male ; Monitoring, Physiologic - methods ; Motion sensors ; Movement - physiology ; Posture - physiology ; Risk ; Senior citizens ; Sensors ; signal analysis ; Signal Processing, Computer-Assisted ; Sociology ; Stands ; Statistics ; Supports</subject><ispartof>IEEE journal of biomedical and health informatics, 2013-07, Vol.17 (4), p.820-827</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-a8f7018d90d2119df975211bf89daf661aa0aaba0192a91a7a157c495684924a3</citedby><cites>FETCH-LOGICAL-c415t-a8f7018d90d2119df975211bf89daf661aa0aaba0192a91a7a157c495684924a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6472000$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6472000$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25055310$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Millor, N.</creatorcontrib><creatorcontrib>Lecumberri, P.</creatorcontrib><creatorcontrib>Gomez, M.</creatorcontrib><creatorcontrib>Martinez-Ramirez, A.</creatorcontrib><creatorcontrib>Rodriguez-Manas, L.</creatorcontrib><creatorcontrib>Garcia-Garcia, F. J.</creatorcontrib><creatorcontrib>Izquierdo, M.</creatorcontrib><title>Automatic Evaluation of the 30-s Chair Stand Test Using Inertial/Magnetic-Based Technology in an Older Prefrail Population</title><title>IEEE journal of biomedical and health informatics</title><addtitle>JBHI</addtitle><addtitle>IEEE J Biomed Health Inform</addtitle><description>The aim of this study was to evaluate the inertial measures of the 30-s chair stand test using modern body-fixed motion sensors. Polynomial data fitting was used to correct the drift effect in the position estimation. Thereafter, the three most important test cycles phases ("impulse," "stand up," and "sit down") were characterized and automatically analyzed. Automated test control is provided, making it possible for researchers without engineering knowledge to run the test. A collection of meaningful data based on kinematic variables is selected for further research. The proposed methodology for data analysis is a feasible tool for use in clinical settings. This method may not only improve rehabilitation therapies but also identify people at risk for falls more accurately than simply evaluating the number of cycles.</description><subject>30-s chair stand test</subject><subject>Acceleration</subject><subject>Accelerometer</subject><subject>Accelerometry - methods</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomechanical Phenomena - physiology</subject><subject>Chairs</subject><subject>Female</subject><subject>Fiducial Markers</subject><subject>Fittings</subject><subject>frailty</subject><subject>Government</subject><subject>gyroscope</subject><subject>Humans</subject><subject>Inertial</subject><subject>Kinematics</subject><subject>Magnets</subject><subject>Male</subject><subject>Monitoring, Physiologic - methods</subject><subject>Motion sensors</subject><subject>Movement - physiology</subject><subject>Posture - physiology</subject><subject>Risk</subject><subject>Senior citizens</subject><subject>Sensors</subject><subject>signal analysis</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Sociology</subject><subject>Stands</subject><subject>Statistics</subject><subject>Supports</subject><issn>2168-2194</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqNkk9vEzEQxVcIRKvSD4CQkCUuXDb1-M_aPrZRoUFFrUR7tia73sTVxg72bqXy6XFI2gMX8MVP9m_eaPxcVe-BzgCoOft2cbWYMQp8xhjXTPBX1TGDRteMUf36WYMRR9Vpzg-0LF2OTPO2OmKSSsmBHle_zqcxbnD0Lbl8xGEqKgYSezKuHeG0zmS-Rp_IjxFDR-5cHsl99mFFFsGl0eNw9h1XwZX6-gKz2yHtOsQhrp6IDwQDuRk6l8htcn1CP5DbuJ2GP13eVW96HLI7Pewn1f2Xy7v5VX1983UxP7-uWwFyrFH3ioLuDO0YgOl6o2QRy16bDvumAUSKuEQKhqEBVAhStcLIRgvDBPKT6vPed5viz6lMYDc-t24YMLg4ZQuNAmkoVfLfqBS64cD_BxXAJCgtVUE__YU-xCmFMrMtVlxQIQUrFOypNsWcy3PZbfIbTE8WqN0lbneJ213i9pB4qfl4cJ6WG9e9VDznW4APe8A7516uG6FY-Q78N3Q1rDQ</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Millor, N.</creator><creator>Lecumberri, P.</creator><creator>Gomez, M.</creator><creator>Martinez-Ramirez, A.</creator><creator>Rodriguez-Manas, L.</creator><creator>Garcia-Garcia, F. J.</creator><creator>Izquierdo, M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20130701</creationdate><title>Automatic Evaluation of the 30-s Chair Stand Test Using Inertial/Magnetic-Based Technology in an Older Prefrail Population</title><author>Millor, N. ; Lecumberri, P. ; Gomez, M. ; Martinez-Ramirez, A. ; Rodriguez-Manas, L. ; Garcia-Garcia, F. J. ; Izquierdo, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-a8f7018d90d2119df975211bf89daf661aa0aaba0192a91a7a157c495684924a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>30-s chair stand test</topic><topic>Acceleration</topic><topic>Accelerometer</topic><topic>Accelerometry - methods</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomechanical Phenomena - physiology</topic><topic>Chairs</topic><topic>Female</topic><topic>Fiducial Markers</topic><topic>Fittings</topic><topic>frailty</topic><topic>Government</topic><topic>gyroscope</topic><topic>Humans</topic><topic>Inertial</topic><topic>Kinematics</topic><topic>Magnets</topic><topic>Male</topic><topic>Monitoring, Physiologic - methods</topic><topic>Motion sensors</topic><topic>Movement - physiology</topic><topic>Posture - physiology</topic><topic>Risk</topic><topic>Senior citizens</topic><topic>Sensors</topic><topic>signal analysis</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Sociology</topic><topic>Stands</topic><topic>Statistics</topic><topic>Supports</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Millor, N.</creatorcontrib><creatorcontrib>Lecumberri, P.</creatorcontrib><creatorcontrib>Gomez, M.</creatorcontrib><creatorcontrib>Martinez-Ramirez, A.</creatorcontrib><creatorcontrib>Rodriguez-Manas, L.</creatorcontrib><creatorcontrib>Garcia-Garcia, F. J.</creatorcontrib><creatorcontrib>Izquierdo, M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE journal of biomedical and health informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Millor, N.</au><au>Lecumberri, P.</au><au>Gomez, M.</au><au>Martinez-Ramirez, A.</au><au>Rodriguez-Manas, L.</au><au>Garcia-Garcia, F. J.</au><au>Izquierdo, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic Evaluation of the 30-s Chair Stand Test Using Inertial/Magnetic-Based Technology in an Older Prefrail Population</atitle><jtitle>IEEE journal of biomedical and health informatics</jtitle><stitle>JBHI</stitle><addtitle>IEEE J Biomed Health Inform</addtitle><date>2013-07-01</date><risdate>2013</risdate><volume>17</volume><issue>4</issue><spage>820</spage><epage>827</epage><pages>820-827</pages><issn>2168-2194</issn><eissn>2168-2208</eissn><coden>IJBHA9</coden><abstract>The aim of this study was to evaluate the inertial measures of the 30-s chair stand test using modern body-fixed motion sensors. Polynomial data fitting was used to correct the drift effect in the position estimation. Thereafter, the three most important test cycles phases ("impulse," "stand up," and "sit down") were characterized and automatically analyzed. Automated test control is provided, making it possible for researchers without engineering knowledge to run the test. A collection of meaningful data based on kinematic variables is selected for further research. The proposed methodology for data analysis is a feasible tool for use in clinical settings. This method may not only improve rehabilitation therapies but also identify people at risk for falls more accurately than simply evaluating the number of cycles.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>25055310</pmid><doi>10.1109/JBHI.2013.2238243</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2168-2194 |
| ispartof | IEEE journal of biomedical and health informatics, 2013-07, Vol.17 (4), p.820-827 |
| issn | 2168-2194 2168-2208 |
| language | eng |
| recordid | cdi_proquest_journals_1373404542 |
| source | IEEE Electronic Library (IEL) |
| subjects | 30-s chair stand test Acceleration Accelerometer Accelerometry - methods Aged Aged, 80 and over Biomechanical Phenomena - physiology Chairs Female Fiducial Markers Fittings frailty Government gyroscope Humans Inertial Kinematics Magnets Male Monitoring, Physiologic - methods Motion sensors Movement - physiology Posture - physiology Risk Senior citizens Sensors signal analysis Signal Processing, Computer-Assisted Sociology Stands Statistics Supports |
| title | Automatic Evaluation of the 30-s Chair Stand Test Using Inertial/Magnetic-Based Technology in an Older Prefrail Population |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T13%3A44%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automatic%20Evaluation%20of%20the%2030-s%20Chair%20Stand%20Test%20Using%20Inertial/Magnetic-Based%20Technology%20in%20an%20Older%20Prefrail%20Population&rft.jtitle=IEEE%20journal%20of%20biomedical%20and%20health%20informatics&rft.au=Millor,%20N.&rft.date=2013-07-01&rft.volume=17&rft.issue=4&rft.spage=820&rft.epage=827&rft.pages=820-827&rft.issn=2168-2194&rft.eissn=2168-2208&rft.coden=IJBHA9&rft_id=info:doi/10.1109/JBHI.2013.2238243&rft_dat=%3Cproquest_RIE%3E1671590075%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1373404542&rft_id=info:pmid/25055310&rft_ieee_id=6472000&rfr_iscdi=true |