Muscle Strength Assessment System Using sEMG-Based Force Prediction Method for Wrist Joint-Reference-Cited by-同舟云学术

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Muscle Strength Assessment System Using sEMG-Based Force Prediction Method for Wrist Joint

Published:2016-01-29 Issue:1 Volume:36 Page:121-131
ISSN:1609-0985
Container-title:Journal of Medical and Biological Engineering
language:en
Short-container-title:J. Med. Biol. Eng.

Author:

Zhang Songyuan,Guo Shuxiang,Gao Baofeng,Huang Qiang,Pang Muye,Hirata Hideyuki,Ishihara Hidenori

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s40846-016-0112-5.pdf

Reference33 articles.

1. Lloyd-Jones, D., Adams, R. J., Brown, T. M., Carnethon, M., Dai, S., De Simone, G., et al. (2010). Heart disease and stroke statistics–2010 update: A report from the American Heart Associate. Circulation, 121, 46–215.

2. Song, Z., Guo, S., & Fu, Y. (2011). Development of an upper extremity motor function rehabilitation system and an assessment system. International Journal of Mechatronics Automation, 1, 19–28.

3. Song, Z., Guo, S., Pang, M., Zhang, S., Xiao, N., Gao, B., & Shi, L. (2014). Implementation of resistance training using an upper-limb exoskeleton rehabilitation device for elbow joint. Journal of Medical and Biological Engineering, 34, 188–196.

4. Zhang, S., Guo, S., Gao, B., Hirata, H., & Ishihara, H. (2015). Design of a novel telerehabilitation system with a force-sensing mechanism. Sensors, 15, 11511–11527.

5. Park, H. S., Peng, Q., & Zhang, L. Q. (2008). A portable telerehabilitation system for remote evaluations of impaired elbows in neurological disorder. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16, 245–254.

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