https://scholars.lib.ntu.edu.tw/handle/123456789/464497
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lu, T.-W. | en_US |
dc.contributor.author | Chen, S.-C. | en_US |
dc.contributor.author | Chiu, H.-C. | en_US |
dc.contributor.author | TUNG-WU LU | en_US |
dc.creator | Lu, T.-W.;Chen, S.-C.;Chiu, H.-C.Tung-Wu Lu | - |
dc.date.accessioned | 2020-02-26T01:37:15Z | - |
dc.date.available | 2020-02-26T01:37:15Z | - |
dc.date.issued | 2012 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/464497 | - |
dc.description.abstract | This study aimed to identify the control strategy of obstacle-crossing of different heights with a multi-objective optimal control technique. Twelve young healthy adults walked and crossed obstacles of three different heights while their kinematic and ground reaction force data were measured simultaneously. Obstacle-crossing was formulated as an optimal control problem with two conflicting objectives: minimization of mechanical energy expenditure and maximization of foot-obstacle clearance. The results supported the hypothesis that experimentally measured ankle trajectories and joint angles of the swing limb and the joint moments of the stance limb could be predicted by the best compromise between these objectives, which was also independent of obstacle height. This control strategy was fundamentally different from that for unobstructed gait, and appeared to be pre-programmed into the nervous system. The results will serve as baseline data and the current technique be used for identifying changes in obstacle-crossing control strategies in people at higher risk of falling. ? 2012 Elsevier B.V. | - |
dc.relation.ispartof | Gait and Posture | - |
dc.subject | Gait; Motion analysis; Multi-objective optimization; Obstacle-crossing; Optimal control | - |
dc.subject.classification | [SDGs]SDG3 | - |
dc.subject.other | adult; article; energy expenditure; foot; human; human experiment; joint; limb movement; male; normal human; prediction; priority journal; Accidental Falls; Adaptation, Physiological; Analysis of Variance; Ankle Joint; Biomechanics; Energy Metabolism; Foot; Gait; Hip Joint; Humans; Knee Joint; Leg; Male; Models, Theoretical; Motion; Postural Balance; Predictive Value of Tests; Range of Motion, Articular; Sampling Studies; Task Performance and Analysis; Young Adult | - |
dc.title | Best-compromise between mechanical energy expenditure and foot clearance predicts leading limb motion during obstacle-crossing | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1016/j.gaitpost.2012.05.012 | - |
dc.identifier.scopus | 2-s2.0-84864347636 | - |
dc.identifier.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864347636&doi=10.1016%2fj.gaitpost.2012.05.012&partnerID=40&md5=21ec27e30a5b37c3bbbdafd06150ef3c | - |
dc.relation.pages | 552-556 | - |
dc.relation.journalvolume | 36 | - |
dc.relation.journalissue | 3 | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Biomedical Engineering | - |
crisitem.author.orcid | 0000-0003-3458-6049 | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Engineering | - |
顯示於: | 醫學工程學研究所 |
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