Cross-Talk Level of Mechanomyography Signal on Compartmental Forearm Muscle
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Published:2019
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Volume:
Page:575-581
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ISSN:1876-1100
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Container-title:10th International Conference on Robotics, Vision, Signal Processing and Power Applications
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language:
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Author:
Mohamad Ismail M. R.ORCID, Lam C. K.ORCID, Sundaraj K.ORCID, Rahiman M. H. F.ORCID
Publisher
Springer Singapore
Reference9 articles.
1. Silva, J., Heim, W., Chau, T.:. MMG-based classification of muscle activity for prosthesis control. In: Proceedings of the IEEE Engineering Medicine Biology Society, vol. 2, pp. 968–971 (2004) 2. Murphy, C., Campbell, N., Caulfield, B., Ward, T., Deegan, C.: Micro electro mechanical systems based sensor for mechanomyography. In: Biosignal (2008) 3. Narayanan, S., Irfan, M.R.M., Geethanjali, B., Kumar, S.P.: MMG as a communication channel for the disabled. IOSR J. Eng. 2(6), 1429–1432 (2012) 4. lusola Ibitoye, M.O., Zah Hamzaid, N.A., Zuniga, J.M., Hasnan, N., Hairi, A.K., Wahab, A.: Mechanomyographic parameter extraction methods: an appraisal for clinical applications. Sensors (Basel) 14(12), 22940–22970 (2014) 5. Beck, T.W., DeFreitas, J.M., Stock, M.S.: An examination of cross-talk among surface mechanomyographic signals from the superficial quadriceps femoris muscles during isometric muscle actions. Hum. Mov. Sci. 29(2), 165–171 (2010)
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