Volume 8 Number 3 (Jul. 2018)
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IJBBB 2018 Vol.8(3): 164-171 ISSN: 2010-3638
doi: 10.17706/ijbbb.2018.8.3.164-171

Wii Balanced Board-Based Utilization for the Human Body Center of Pressure for the Falling Detection via Multivariate Empirical Mode Decomposition and Multivariate Multi-scale Entropy

Jiann-Shing Shieh, Ting-Hui Li, Chih-Dao Chen, Maysam F. Abbod
Abstract—Center of pressure (COP) evaluation is one of important parameters in the fall detection algorithm for the elder people. The Wii balance board (WBB) (Nintendo Co., Ltd., Redmond, WA 98052), originally an accessory of a game controller for the Wii video game console, is a potential device that can be utilized for the human balance evaluation system. Initially, this study evaluates the WBB signal in comparison to the AMTI (Advanced Mechanical Technology Inc., Newton, MA, USA) as the reference. Initially, the experiment is conducted for three different conditions; open eye, close eye and one-foot stand for five volunteers. The mean of correlation coefficient between WBB and AMTI is over 0.98 on X-direction and over 0.99 on Y-direction. The multivariate multi-scale entropy (MMSE) and multivariate empirical mode decomposition (MEMD) are used for the signal feature evaluations. The results show that complexity indexes (CI) from the MSE-based algorithms have significant results only between young and elderly groups and young and elderly-fall groups. However, there are no significant differences on between elderly and elderly-fall groups. In conclusion, this study shows that the WBB can be applied as the balance-measuring device. Meanwhile, further investigations need to be conducted for the advanced algorithms to fall detection for the elderly people.

Index Terms—Center of pressure, Wii balance board, multivariate multi-scale entropy, multivariate empirical mode decomposition, complexity index.

Jiann-Shing Shieh, Ting-Hui Li are with Department of Mechanical Engineering and Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Chung-Li 32003, Taiwan (email: jsshieh@saturn.yzu.edu.tw).
Chih-Dao Chen is with Department of Family Medicine, Far Eastern Memorial Hospital, No.21, Sec. 2, Nanya S. Rd., Banciao Dist., New Taipei City 220, Taiwan.
Maysam F. Abbod is with Department of Electronic and Computer Engineering, Brunel University London, Uxbridge UB8 3PH, UK.

Cite: Jiann-Shing Shieh, Ting-Hui Li, Chih-Dao Chen, Maysam F. Abbod, "Wii Balanced Board-Based Utilization for the Human Body Center of Pressure for the Falling Detection via Multivariate Empirical Mode Decomposition and Multivariate Multi-scale Entropy," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 8, no. 3, pp. 164-171, 2018.

General Information

ISSN: 2010-3638
Frequency: Bimonthly (2011-2015); Quarterly (Since 2016)
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing: Electronic Journals Library, Chemical Abstracts Services (CAS), Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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