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http://dx.doi.org/10.5302/J.ICROS.2014.14.0007

A Balance Training System using a Haptic Device and Its Evaluations  

Yoon, JungWon (School of Mechanical and Aerospace Engineering and ReCAPT, Gyeongsang National University)
Afzal, Muhammad Raheel (School of Mechanical and Aerospace Engineering and ReCAPT, Gyeongsang National University)
Pyo, SangHun (School of Mechanical and Aerospace Engineering and ReCAPT, Gyeongsang National University)
Oh, Min-Kyun (Department of Rehabilitation Medicine, Gyeongsang National University Graduate School of Medicine)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.20, no.9, 2014 , pp. 971-976 More about this Journal
Abstract
Haptic device can be a useful rehabilitation tool in balance training. The proposed system is composed of a body-wear smartphone, Phantom Omni(R) device, and its control PC system. Ten young healthy subjects performed balance tasks with different postures during 30 seconds with their eyes closed. An Android program on the smartphone transferred mediolateral (ML) and anteroposterior (AP) tilt angles to the PC system, which can generate haptic command through haptic device. Statistical data analysis was performed using MATLAB(R). COP (Center of Pressure) related indexes were measured to see reduction in body sway. ANOVA showed that haptic device significantly reduced body sway. Intuitive balance guidance could be generated using an economical and small-sized commercial haptic device, making the system efficient.
Keywords
balance training; haptic device; young healthy subjects;
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  • Reference
1 Yonsei University Health Promotion Division, Costeffectiveness Analysis of National Prevention Programs for Cardiovascular Diseases, Seoul, 2007.
2 J. S. Sabari, Occupational Therapy for Physical Dysfunction, Sixth Edition edited by Mary Vining Radomski, 2007.
3 J. H. J. Allum, B. R. Bloem, M. G. Carpenter, M. Hulliger, and M. Hadders-Algra, "Effects of proprioceptive loss on postural control," Gait Posture, vol. 8, pp. 214-242, 1998.   DOI
4 S. E. Lamb, L. Ferrucci, S. Volapto, L. P. Fried, and J. M. Guralnik, "Risk factors for falling in home-dwelling older women with stroke: the women's health and aging study," Stroke, vol. 34, no. 2, pp. 494-501, 2003.   DOI   ScienceOn
5 J. F. Bayouk, J. P. Boucher, and A. Leroux, "Balance training following stroke: effects of task-oriented exercises with and without altered sensory input," International Journal of Rehabilitation Research, vol. 29, no. 1, pp. 51-59, 2006.   DOI   ScienceOn
6 A. Srivastava, A. B. Taly, A. Gupta, S. Kumar, and T. Murali, "Post-stroke balance training: Role of force platform with visual feedback technique," Journal of the Neurological Sciences, vol. 287, no. 1, pp. 89-93, 2009.   DOI   ScienceOn
7 J. Fung and C. F. Perez, "Sensorimotor enhancement with a mixed reality system for balance and mobility rehabilitation," Proc. of 33rd Annual International Conference of the IEEE EMBS, Boston, MA, USA, pp. 6753-7, 2011.
8 J. Fung, R. Boonsinsukh, and S. DeSerres, "Light touch from the fingertip improves balance during standing and walking following stroke," Soc of NeuSci, vol. 29, no. 70, pp. 12, 2003.
9 R. Boonsinsukh, L. Panichareon, and P. Phansuwan-Pujito, "Light touch cue through a cane improves pelvic stability during walking in stroke," Archives of physical medicine and rehabilitation, vol. 90, no. 6, pp. 919-926, 2009.   DOI   ScienceOn
10 K. H. Sienko, M. D. Balkwill, L. I. Oddsson, and C. 3rd Wall, "The effect of vibrotactile feedback on postural sway during locomotor activities," Journal of Neuroengineering and Rehabilitation, vol. 10, no. 1, pp. 1-6, 2013.   DOI
11 B. C. Lee, J. Kim, S. Chen, and K. H. Sienko, "Cell phone based balance trainer," Journal of Neuroengineering and Rehabilitation, vol. 9, no. 10, pp. 1-14, 2012.   DOI
12 C. Franco, A. Fleury, P. Y. Gumery, B. Diot, J. Demongeot, and N. Vuillerme, "iBalance-ABF: a smartphone-based audiobiofeedback balance system," IEEE Transactions Biomedical Engineering, vol. 60, no. 1, pp. 211-215, 2013.   DOI
13 http://www.biodex.com/sites/default/files/950440man_10205revb.pdf
14 D. Mataar, R. Fournier, Z. Lachiri, and A. Nait-Ali, "Biometric application and classification of individuals using postural parameters," International Journal of Computers & Technology, vol. 7, no. 2, pp. 580-593, 2013.
15 F. Wang, M. Skubic, C. Abbott, and J.M. Keller, "Body sway measurement for fall risk assessment using inexpensive webcams," Proc. of 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, pp. 2225-2229, 2010.
16 B. J. Benda, P. O. Riley, and D. E. Krebs, "Biomechanical relationship between center of gravity and center of pressure during standing," IEEE Transactions on Rehabilitation Engineering, vol. 2, no. 1, pp. 3-10, 1994.   DOI
17 D. Mataar, R. Fournier, Z. Lachiri, and A. Nait-Ali, "Modified PCA stabilogram decomposition and analysis of fluctuations phase diffusion," Proc. of IEEE Spring World Congress on Engineering and Technology (S-CET), Xi'an, China, 2007.
18 J. A. Patterson, R. Z. Amick, T. Thummar, and M. E. Rogers, "Validation of measures from the smartphone sway balance application: A pilot study," The Journal of Sports Physical Therapy, vol. 9, no. 2, pp. 135-139, 2014.
19 J. A. Raymakers, M. M. Samson, and H. J. Verhaar, "The assessment of body sway and the choice of the stability parameter(s)," Gait & posture, vol. 21, no. 1, pp. 48, 2005.   DOI   ScienceOn
20 B. S. Hassan, S. Mockett, and M. Doherty, "Static postural sway, proprioception, and maximal voluntary quadriceps contraction in patients with knee osteoarthritis and normal control subjects," Annuals of the Rheumatic Disease, vol. 60, no. 6, pp. 612-618, 2001.   DOI   ScienceOn