Title | ||
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Comparison of closed-loop system identification techniques to quantify multi-joint human balance control. |
Abstract | ||
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The incidence of impaired balance control and falls increases with age and disease and has a significant impact on daily life. Detection of early-stage balance impairments is difficult as many intertwined mechanisms contribute to balance control. Current clinical balance tests are unable to quantify these underlying mechanisms, and it is therefore difficult to provide targeted interventions to prevent falling. System identification techniques in combination with external disturbances may provide a way to detect impairments of the underlying mechanisms. This is especially challenging when studying multi-joint coordination, i.e. the contribution of both the ankles and hips to balance control. |
Year | DOI | Venue |
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2016 | 10.1016/j.arcontrol.2016.04.010 | Annual Reviews in Control |
Keywords | Field | DocType |
Balance control,Multiple-input multiple-output,Closed-loop,System identification | Frequency domain,Population,Frequency resolution,Control theory,Control engineering,Impaired Balance,Parametric statistics,Engineering,System identification | Journal |
Volume | ISSN | Citations |
41 | 1367-5788 | 1 |
PageRank | References | Authors |
0.36 | 7 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Denise Engelhart | 1 | 1 | 0.36 |
Tjitske A. Boonstra | 2 | 1 | 0.36 |
Ronald G. K. M. Aarts | 3 | 4 | 1.89 |
Alfred C. Schouten | 4 | 121 | 26.77 |
Herman Van Der Kooij | 5 | 351 | 51.23 |