Age-related alterations on the capacities to navigate on a bike: use of a simulator and entropy measures
Studying the impact of age is important to understand the phenomenon of aging and the disorders that are associated with it. In this work, we analyze age-related alterations on the capacities to navigate on a bike. For this purpose, we use CycléoONE, a bike simulator, and entropy measures. We thus r...
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| Veröffentlicht in: | Medical & biological engineering & computing 2021, Vol.59 (1), p.13-22 |
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| creator | Jamin, Antoine Duval, Guillaume Annweiler, Cédric Abraham, Pierre Humeau-Heurtier, Anne |
| description | Studying the impact of age is important to understand the phenomenon of aging and the disorders that are associated with it. In this work, we analyze age-related alterations on the capacities to navigate on a bike. For this purpose, we use CycléoONE, a bike simulator, and entropy measures. We thus record navigation data (handlebar angle and speed) during the ride. They are processed with two cross-distribution entropy methods (time-shift multiscale cross-distribution entropy and multiscale cross-distribution entropy). We also analyze the time series with a detrended cross-correlation analysis to determine which method can best underline age-related alterations. Our results show that methods based on cross-distribution entropy may be efficient to stress the decrease in navigation capacities with age. The results are very encouraging for our future goal of adding medical benefits to a leisure equipment. They also show the value of using virtual reality to study the impact of age.
Graphical Abstract
This study deals with the use of the signal processing methods (multiscale cross-entropy and multiscale cross-correlation) applied on naviagtion data, acquired with a bike simulator, to study the impact of age on two populations (young healthy subjects and older adults with loss of autonomy). |
| doi_str_mv | 10.1007/s11517-020-02257-y |
| format | Article |
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Graphical Abstract
This study deals with the use of the signal processing methods (multiscale cross-entropy and multiscale cross-correlation) applied on naviagtion data, acquired with a bike simulator, to study the impact of age on two populations (young healthy subjects and older adults with loss of autonomy).</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-020-02257-y</identifier><identifier>PMID: 33185831</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Age ; Aging ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Computer Applications ; Correlation analysis ; Engineering Sciences ; Entropy ; Human Physiology ; Imaging ; Original Article ; Radiology ; Signal and Image processing ; Virtual reality</subject><ispartof>Medical & biological engineering & computing, 2021, Vol.59 (1), p.13-22</ispartof><rights>International Federation for Medical and Biological Engineering 2020</rights><rights>International Federation for Medical and Biological Engineering 2020.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-a0b88ad417316bc723bb2e28e851c6222da999613f9a0299770af2bcb6fa12b63</citedby><cites>FETCH-LOGICAL-c409t-a0b88ad417316bc723bb2e28e851c6222da999613f9a0299770af2bcb6fa12b63</cites><orcidid>0000-0003-0473-3669 ; 0000-0001-7053-2801 ; 0000-0002-6289-0040 ; 0000-0002-7199-8109</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11517-020-02257-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-020-02257-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,4014,27914,27915,27916,41479,42548,51310</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33185831$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://univ-angers.hal.science/hal-02923217$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Jamin, Antoine</creatorcontrib><creatorcontrib>Duval, Guillaume</creatorcontrib><creatorcontrib>Annweiler, Cédric</creatorcontrib><creatorcontrib>Abraham, Pierre</creatorcontrib><creatorcontrib>Humeau-Heurtier, Anne</creatorcontrib><title>Age-related alterations on the capacities to navigate on a bike: use of a simulator and entropy measures</title><title>Medical & biological engineering & computing</title><addtitle>Med Biol Eng Comput</addtitle><addtitle>Med Biol Eng Comput</addtitle><description>Studying the impact of age is important to understand the phenomenon of aging and the disorders that are associated with it. In this work, we analyze age-related alterations on the capacities to navigate on a bike. For this purpose, we use CycléoONE, a bike simulator, and entropy measures. We thus record navigation data (handlebar angle and speed) during the ride. They are processed with two cross-distribution entropy methods (time-shift multiscale cross-distribution entropy and multiscale cross-distribution entropy). We also analyze the time series with a detrended cross-correlation analysis to determine which method can best underline age-related alterations. Our results show that methods based on cross-distribution entropy may be efficient to stress the decrease in navigation capacities with age. The results are very encouraging for our future goal of adding medical benefits to a leisure equipment. They also show the value of using virtual reality to study the impact of age.
Graphical Abstract
This study deals with the use of the signal processing methods (multiscale cross-entropy and multiscale cross-correlation) applied on naviagtion data, acquired with a bike simulator, to study the impact of age on two populations (young healthy subjects and older adults with loss of autonomy).</description><subject>Age</subject><subject>Aging</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Computer Applications</subject><subject>Correlation analysis</subject><subject>Engineering Sciences</subject><subject>Entropy</subject><subject>Human Physiology</subject><subject>Imaging</subject><subject>Original Article</subject><subject>Radiology</subject><subject>Signal and Image processing</subject><subject>Virtual 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simulator and entropy measures</atitle><jtitle>Medical & biological engineering & computing</jtitle><stitle>Med Biol Eng Comput</stitle><addtitle>Med Biol Eng Comput</addtitle><date>2021</date><risdate>2021</risdate><volume>59</volume><issue>1</issue><spage>13</spage><epage>22</epage><pages>13-22</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>Studying the impact of age is important to understand the phenomenon of aging and the disorders that are associated with it. In this work, we analyze age-related alterations on the capacities to navigate on a bike. For this purpose, we use CycléoONE, a bike simulator, and entropy measures. We thus record navigation data (handlebar angle and speed) during the ride. They are processed with two cross-distribution entropy methods (time-shift multiscale cross-distribution entropy and multiscale cross-distribution entropy). We also analyze the time series with a detrended cross-correlation analysis to determine which method can best underline age-related alterations. Our results show that methods based on cross-distribution entropy may be efficient to stress the decrease in navigation capacities with age. The results are very encouraging for our future goal of adding medical benefits to a leisure equipment. They also show the value of using virtual reality to study the impact of age.
Graphical Abstract
This study deals with the use of the signal processing methods (multiscale cross-entropy and multiscale cross-correlation) applied on naviagtion data, acquired with a bike simulator, to study the impact of age on two populations (young healthy subjects and older adults with loss of autonomy).</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33185831</pmid><doi>10.1007/s11517-020-02257-y</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-0473-3669</orcidid><orcidid>https://orcid.org/0000-0001-7053-2801</orcidid><orcidid>https://orcid.org/0000-0002-6289-0040</orcidid><orcidid>https://orcid.org/0000-0002-7199-8109</orcidid></addata></record> |
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| ispartof | Medical & biological engineering & computing, 2021, Vol.59 (1), p.13-22 |
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| subjects | Age Aging Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Computer Applications Correlation analysis Engineering Sciences Entropy Human Physiology Imaging Original Article Radiology Signal and Image processing Virtual reality |
| title | Age-related alterations on the capacities to navigate on a bike: use of a simulator and entropy measures |
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