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dc.contributor.authorLee, Song Joo-
dc.contributor.authorZhang, Li-Qun-
dc.date.accessioned2024-01-19T21:01:21Z-
dc.date.available2024-01-19T21:01:21Z-
dc.date.created2021-09-02-
dc.date.issued2019-02-
dc.identifier.issn0018-9294-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/120422-
dc.description.abstractObjective: The goal of this study was to investigate the learning patterns in leg pivoting neuromuscular control performance over six-week pivoting neuromuscular control training (POINT) and to estimate how many sessions at beginning are needed to estimate the overall pivoting neuromuscular control learning curve. Methods: Twenty subjects (ten females, ten males) participated in 18 sessions of POINT (three sessions per week for six weeks) program using an off-axis elliptical trainer. Performance measures including pivoting instability and stepping speed were quantified for each study session during a stepping task while subjects were asked to control pivoting movements under a slippery condition. Learning curve relating the pivoting instability to training sessions was quantified by the power law and by the exponential curve as a function of sessions or days with three parameters: The limit of learning, rate of learning, and learning capacity. Results: The power and exponential learning models characterized the learning curves similarly with no differences in R-2. No significant sex differences were found in the limit of learning, rate of learning, and learning capacity. Based on R-2 and RMSE, data from the first three study sessions might be enough to estimate the pivoting neuromuscular performance over the whole training period. Conclusion: The findings showed that subjects' motor skills to improve pivoting instability followed the learning curve models. Significance: The findings and models can potentially be used to develop more effective subject-specific therapy scheduling.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.titleLearning Patterns of Pivoting Neuromuscular Control Training-Toward a Learning Model for Therapy Scheduling-
dc.typeArticle-
dc.identifier.doi10.1109/TBME.2018.2842033-
dc.description.journalClass1-
dc.identifier.bibliographicCitationIEEE Transactions on Biomedical Engineering, v.66, no.2, pp.383 - 390-
dc.citation.titleIEEE Transactions on Biomedical Engineering-
dc.citation.volume66-
dc.citation.number2-
dc.citation.startPage383-
dc.citation.endPage390-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000456915400010-
dc.identifier.scopusid2-s2.0-85047825357-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalResearchAreaEngineering-
dc.type.docTypeArticle-
dc.subject.keywordPlusCRUCIATE LIGAMENT INJURIES-
dc.subject.keywordPlusKNEE ADDUCTION MOMENT-
dc.subject.keywordPlusGAIT-
dc.subject.keywordPlusPROGRAM-
dc.subject.keywordAuthorPivoting-
dc.subject.keywordAuthorNeuromuscular Control-
dc.subject.keywordAuthorLearning Curve-
dc.subject.keywordAuthorSlippery Conditions-
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