Learning Patterns of Pivoting Neuromuscular Control Training-Toward a Learning Model for Therapy Scheduling

Authors
Lee, Song JooZhang, Li-Qun
Issue Date
2019-02
Publisher
Institute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Biomedical Engineering, v.66, no.2, pp.383 - 390
Abstract
Objective: 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.
Keywords
CRUCIATE LIGAMENT INJURIES; KNEE ADDUCTION MOMENT; GAIT; PROGRAM; Pivoting; Neuromuscular Control; Learning Curve; Slippery Conditions
ISSN
0018-9294
URI
https://pubs.kist.re.kr/handle/201004/120422
DOI
10.1109/TBME.2018.2842033
Appears in Collections:
KIST Article > 2019
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE