题名 | Identifying human postural dynamics and control from unperturbed balance |
作者 | |
通讯作者 | Lee,Jongwoo |
发表日期 | 2021-12-01
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DOI | |
发表期刊 | |
EISSN | 1743-0003
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卷号 | 18期号:1 |
摘要 | "Background: Upright standing requires control of an inherently unstable multi-joint human body within a small base of support", despite biological motor and / or sensory noise which challenge balance. Without applying perturbations, system identification methods have been regarded as inadequate, because the relevant internal biological noise processes are not accessible to direct measurement. As a result, unperturbed balance studies have been limited to investigation of behavioral patterns rather than possible underlying control strategies. Methods: In this paper, we present a mathemathically rigorous system identification method that is applicable to study the dynamics and control of unperturbed balance. The method is derived from autocorrelation matrices with non-zero time lags and identifies the system matrix of a discrete-time dynamic system in the presence of unknown noise processes, without requiring any information about the strength of the noise. Results: Unlike reasonable ‘least-squares’ approaches, the performance of the new method is consistent across a range of different combinations of internal and measurement noise strengths, even when measurement noise is substantial. We present a numerical example of a model that simulates human upright balancing and show that its dynamics can be identified accurately. With a biomechanically reasonable choice of state and input variables, a state feedback controller can also be identified. Conclusions: This study provides a new method to correctly identify the dynamics of human standing without the need for known external perturbations. The method was numerically validated using simulation that included realistic features of human balance. This method avoids potential issues of adaptation or possible reflex responses evoked by external perturbations, and does not require expensive in-lab, high-precision measurement equipment. It may eventually enable diagnosis and treatment of individuals with impaired balance, and the development of safe and effective assistive and / or rehabilitative technologies. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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WOS研究方向 | Engineering
; Neurosciences & Neurology
; Rehabilitation
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WOS类目 | Engineering, Biomedical
; Neurosciences
; Rehabilitation
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WOS记录号 | WOS:000632833500002
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出版者 | |
Scopus记录号 | 2-s2.0-85103108259
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:4
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/222597 |
专题 | 工学院_机械与能源工程系 |
作者单位 | 1.Department of Mechanical Engineering,Massachusetts Institute of Technology,Cambridge,02139,United States 2.Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen,518055,China 3.Department of Mechanical Engineering,The University of British Columbia,Vancouver,V6T 1Z4,Canada 4.Department of Brain and Cognitive Sciences,Massachusetts Institute of Technology,Cambridge,02139,United States |
推荐引用方式 GB/T 7714 |
Lee,Jongwoo,Zhang,Kuangen,Hogan,Neville. Identifying human postural dynamics and control from unperturbed balance[J]. Journal of NeuroEngineering and Rehabilitation,2021,18(1).
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APA |
Lee,Jongwoo,Zhang,Kuangen,&Hogan,Neville.(2021).Identifying human postural dynamics and control from unperturbed balance.Journal of NeuroEngineering and Rehabilitation,18(1).
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MLA |
Lee,Jongwoo,et al."Identifying human postural dynamics and control from unperturbed balance".Journal of NeuroEngineering and Rehabilitation 18.1(2021).
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