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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 356028, 10 pages
http://dx.doi.org/10.1155/2015/356028
Research Article

The Design of EMG Measurement System for Arm Strength Training Machine

1Department of Electrical Engineering, Feng Chia University, 100 WenHwa Road, Seatwen, Taichung 40724, Taiwan
2Department of Information Management, Ling Tung University, 1 Ling Tung Road, Taichung 40852, Taiwan
3Department of Electrical Engineering, Da-Yeh University, 168 University Road, Dacun, Changhua 51591, Taiwan

Received 26 June 2014; Revised 7 September 2014; Accepted 20 September 2014

Academic Editor: Stephen D. Prior

Copyright © 2015 Tze-Yee Ho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. T.-Y. Ho, Y.-J. Chen, M.-S. Chen, P.-H. Chen, and H.-Y. Chen, “The design and implementation of arm strength training machine,” in Proceedings of the IEEE EuroCon, pp. 1911–1914, Zagreb, Croatia, July 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. S. L. Wolf, “Electromyographic biofeedback applications to stroke patients. A critical review,” Physical Therapy, vol. 63, no. 9, pp. 1448–1459, 1983. View at Google Scholar · View at Scopus
  3. G. Francisco, J. Chae, H. Chawla et al., “Electromyogram-triggered neuromuscular stimulation for improving the arm function of acute stroke survivors: a randomized pilot study,” Archives of Physical Medicine and Rehabilitation, vol. 79, no. 5, pp. 570–575, 1998. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Luczak, A. Bosak, and B. L. Riemann, “Shoulder muscle activation of novice and resistance trained women during variations of dumbbell press exercises,” Journal of Sports Medicine, vol. 2013, Article ID 612650, 6 pages, 2013. View at Publisher · View at Google Scholar
  5. T. Boucher, S. Wang, E. Trudelle-Jackson, and S. Olson, “Effectiveness of surface electromyographic biofeedback-triggered neuromuscular electrical stimulation on knee rehabilitation,” North American Journal of Sports Physical Therapy, vol. 4, no. 3, pp. 100–109, 2009. View at Google Scholar
  6. S. L. Wolf and S. A. Binder-Macleod, “Electromyographic biofeedback applications to the hemiplegic patient,” Physical Therapy, vol. 63, no. 9, pp. 1393–1403, 1983. View at Google Scholar · View at Scopus
  7. J. L. Kelly, M. P. Baker, and S. L. Wolf, “Procedures for EMG biofeedback training in involved upper extremities of hemiplegic patients,” Physical Therapy, vol. 59, no. 12, pp. 1500–1507, 1979. View at Google Scholar · View at Scopus
  8. N. Mroczek, D. Halpern, and R. McHugh, “Electromyographic feedback and physical therapy for neuromuscular retraining in hemiplegia,” Archives of Physical Medicine and Rehabilitation, vol. 59, no. 6, pp. 258–267, 1978. View at Google Scholar · View at Scopus
  9. O. Armagan, F. Tascioglu, and C. Oner, “Electromyographic biofeedback in the treatment of the hemiplegic hand: a Placebo-Controlled Study,” The American Journal of Physical Medicine and Rehabilitation, vol. 82, no. 11, pp. 856–861, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. F. Bugallo, “Weight lifting apparatus having increased force on return stroke,” U.S . Patent No. 4563003, 1983.
  11. P. Hon, “Apparatus for training, investigation and re-education in particular for the neuro-muscular function,” U.S. Patent No. 4979733, 1990.
  12. W. H. Englehardt, “Motor control for simulating weight stack-life fitness,” U.S . Patent No. 5020794, 1991.
  13. T.-Y. Ho, Y.-J. Chen, P.-H. Chen, and C.-H. Chiang, “The design and implementation of windowing interface arm strength training machine,” in Proceedings of the 1st IEEE Global Conference on Consumer Electronics (GCCE 12), pp. 201–202, Makuhari Messe, Tokyo, Japan, October 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. C. Choi, S. Kwon, W. Park, H.-D. Lee, and J. Kim, “Real-time pinch force estimation by surface electromyography using an artificial neural network,” Medical Engineering and Physics, vol. 32, no. 5, pp. 429–436, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. F. Mobasser, J. M. Eklund, and K. Hashtrudi-Zaad, “Estimation of elbow-induced wrist force with EMG signals using fast orthogonal search,” IEEE Transactions on Biomedical Engineering, vol. 54, no. 4, pp. 683–693, 2007. View at Publisher · View at Google Scholar
  16. E. E. Cavallaro, J. Rosen, J. C. Perry, and S. Burns, “Real-time myoprocessors for a neural controlled powered exoskeleton arm,” IEEE Transactions on Biomedical Engineering, vol. 53, no. 11, pp. 2387–2396, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. T.-Y. Ho, Y.-J. Chen, C.-T. Chung, and M.-H. Hsiao, “The design and implementation of a windowing interface pinch force measurement system,” in Advanced Biomedical and Clinical Diagnostic Systems VIII, Proceedings of SPIE, January 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. H.-X. Wu, S.-K. Cheng, and S.-M. Cui, “A controller of brushless DC motor for electric vehicle,” IEEE Transactions on Magnetics, vol. 41, no. 1, pp. 509–513, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. J. Holtz and N. Oikonomou, “Estimation of the fundamental current in low-switching-frequency high dynamic medium-voltage drives,” IEEE Transactions on Industry Applications, vol. 44, no. 5, pp. 1597–1605, 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. P. Pillay and R. Krishnan, “Modeling, simulation, and analysis of permanent-magnet motor drives. I. The permanent-magnet synchronous motor drive,” IEEE Transactions on Industry Applications, vol. 25, pp. 265–273, 1989. View at Google Scholar · View at Scopus