A Modeling Method for Human Standing Balance System Based on T-S Fuzzy Identification_Journal of Biomedical Engineering

Authors：

WANGHongrui ^1,2 ,  LIUKun ¹ , XIAOJinzhuang ² , XIONGPeng ¹

1. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;
2. College of Electronic and Information Engineering, Hebei University, Baoding 071000, China;

Corresponding author：

LIUKun, Email: liukun518@ysu.edu.cn

Keywords：

passive standing balance; T-S fuzzy model identification; fuzzy C-means clustering; mathematical model

DOI：

10.7507/1001-5515.20140236

Video：

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Abstract Full text Figures/Tables Video References Cited by

In order to develop safe training intensity and training methods for the passive balance rehabilitation training system, we propose in this paper a mathematical model for human standing balance adjustment based on T-S fuzzy identification method. This model takes the acceleration of a multidimensional motion platform as its inputs, and human joint angles as its outputs. We used the artificial bee colony optimization algorithm to improve fuzzy C-means clustering algorithm, which enhanced the efficiency of the identification for antecedent parameters. Through some experiments, the data of 9 testees were collected, which were used for model training and model results validation. With the mean square error and cross-correlation between the simulation data and measured data, we concluded that the model was accurate and reasonable.

Citation： WANGHongrui, LIUKun, XIAOJinzhuang, XIONGPeng. A Modeling Method for Human Standing Balance System Based on T-S Fuzzy Identification. Journal of Biomedical Engineering, 2014, 31(6): 1243-1249. doi: 10.7507/1001-5515.20140236 Copy

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10.	HENRY S M, FUNG J, HORAK F B. Control of stance during lateral and anterior/posterior surface translations[J]. IEEE Trans Rehabil Eng, 1998, 6(1):32-42.
11.	ALEXANDROV A V, FROLOV A A, MASSION J. Biomechanical analysis of movement strategies in human forward trunk bending.Ⅱ.experimental study[J]. Biol Cybern, 2001, 84(6):435-443.
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1. 纪树荣.实用偏瘫康复训练技术图解[M].第2版.北京:人民军医出版社,2010:162-165.
2. GEURTS A C, DE HAART M, VAN NES I J, et al. A review of standing balance recovery from stroke[J]. Gait Posture, 2005, 22(3):267-281.
3. 肖金壮,熊鹏,王洪瑞,等.被动运动下人体平衡调节过程线性特性分析[J].生物医学工程学杂志,2012,29(3):420-423.
4. JO S, MASSAQUOI S G. A model of cerebellum stabilized and scheduled hybrid long-loop control of upright balance[J]. Biol Cybern, 2004, 91(3):188-202.
5. MASANI K, VETTE A H, POPOVIC M R. Controlling balance during quiet standing:proportional and derivative controller generates preceding motor command to body sway position observed in experiments[J]. Gait Posture, 2006, 23(2):164-172.
6. SUZUKI Y, NOMURA T, CASADIO M, et al. Intermittent control with ankle, hip, and mixed strategies during quiet standing:a theoretical proposal based on a double inverted pendulum model[J]. J Theor Biol, 2012, 310:55-79.
7. SCHILLING R J, ROBINSON C J. A phase-locked loop model of the response of the postural control system to periodic platform motion[J]. IEEE Trans Neural Syst Rehabil Eng, 2010, 18(3):274-283.
8. SU Z G, WANG P H, SHEN J, et al. Convenient T-S fuzzy model with enhanced performance using a novel swarm intelligent fuzzy clustering technique[J]. J Process Contr, 2012,22(1):108-124.
9. KARABOGA D, OZTURK C, KARABOGA N, et al. Artificial bee colony programming for symbolic regression[J]. Inform Sciences, 2012, 209:1-15.
10. HENRY S M, FUNG J, HORAK F B. Control of stance during lateral and anterior/posterior surface translations[J]. IEEE Trans Rehabil Eng, 1998, 6(1):32-42.
11. ALEXANDROV A V, FROLOV A A, MASSION J. Biomechanical analysis of movement strategies in human forward trunk bending.Ⅱ.experimental study[J]. Biol Cybern, 2001, 84(6):435-443.
12. ALEXANDROV A V, FROLOV A A, HORAK F B, et al. Feedback equilibrium control during human standing[J]. Biol Cybern, 2005, 93(5):309-322.
13. 吴新智,席焕久,陈昭. 人体测量方法[M].第2版. 北京:科学出版社, 2010:56-196.

Journal of Biomedical Engineering

A Modeling Method for Human Standing Balance System Based on T-S Fuzzy Identification

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