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dc.contributor.authorBorg, Frank G
dc.contributor.authorLaxåback, Gerd
dc.date.accessioned2012-11-19T08:05:28Z
dc.date.available2012-11-19T08:05:28Z
dc.date.issued2010-07-30
dc.identifier.citationBorg, F. G. & Laxåback, G. (2010). Entropy of balance - some recent results. Journal of NeuroEngineering and Rehabilitation. 2010 Jul 30;7(1):38. doi:10.1186/1743-0003-7-38
dc.identifier.urihttp://dx.doi.org/10.1186/1743-0003-7-38
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/40355
dc.description.abstractBackground. Entropy when applied to biological signals is expected to reflect the state of the biological system. However the physiological interpretation of the entropy is not always straightforward. When should high entropy be interpreted as a healthy sign, and when as marker of deteriorating health? We address this question for the particular case of human standing balance and the Center of Pressure data. Methods. We have measured and analyzed balance data of 136 participants (young, n = 45; elderly, n = 91) comprising in all 1085 trials, and calculated the Sample Entropy (SampEn) for medio-lateral (M/L) and anterior-posterior (A/P) Center of Pressure (COP) together with the Hurst self-similariy (ss) exponent α using Detrended Fluctuation Analysis (DFA). The COP was measured with a force plate in eight 30 seconds trials with eyes closed, eyes open, foam, self-perturbation and nudge conditions. Results. 1) There is a significant difference in SampEn for the A/P-direction between the elderly and the younger groups Old > young. 2) For the elderly we have in general A/P > M/L. 3) For the younger group there was no significant A/P-M/L difference with the exception for the nudge trials where we had the reverse situation, A/P < M/L. 4) For the elderly we have, Eyes Closed > Eyes Open. 5) In case of the Hurst ss-exponent we have for the elderly, M/L > A/P. Conclusions. These results seem to be require some modifications of the more or less established attention-constraint interpretation of entropy. This holds that higher entropy correlates with a more automatic and a less constrained mode of balance control, and that a higher entropy reflects, in this sense, a more efficient balancing.
dc.language.isoeng
dc.publisherBioMed Central (BMC)
dc.relation.ispartofseriesJournal of NeuroEngineering and Rehabilitation
dc.titleEntropy of balance - some recent results
dc.typeArticle
dc.identifier.urnURN:NBN:fi:jyu-201804202275
dc.contributor.laitosKokkolan yliopistokeskus Chydeniusfi
dc.contributor.laitosKokkola University Consortium Chydeniusen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2012-11-15T14:51:02Z
dc.rights.holderFrank G Borg et al.; licensee BioMed Central Ltd.
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.relation.issn1743-0003
dc.type.versionpublishedVersion
dc.rights.copyright© 2010 Borg and Laxåback; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.accesslevelopenAccessfi
dc.rights.urlhttp://creativecommons.org/licenses/by/2.0
dc.relation.doi10.1186/1743-0003-7-38


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Frank G Borg et al.; licensee BioMed Central Ltd.
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