Research on EEG-Based Control of Prosthetic Hand

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Abstract:

The wireless control method is implemented between NEU BCI-II brain-computer interface and DR05 humanoid hand in this paper. A user interface with a set of real-time analysis and control methods is developed based on Lab VIEW platform. Wavelet analysis method is embedded in this framework, which extracts the character of alpha rhythm. 86.7% correct rate is achieved by using this framework to make humanoid hand do six gestures. Electronic disturbance of finger motor is eliminated by adopting wireless method.

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[1] J.R. Wolpaw, Brain-computer interface research comes of age: traditional assumptions meet emerging realities, J Mot Behav. 42(2010) 351-353.

DOI: 10.1080/00222895.2010.526471

Google Scholar

[2] D.J. McFarland, W.A. Sarnacki, J.R. Wolpaw, Should the parameters of a BCI translation algorithm be continually adapted? J Neurosci Methods, 199(2011) 103-107.

DOI: 10.1016/j.jneumeth.2011.04.037

Google Scholar

[3] J.R. Wolpaw, N. Birbaumer, W.J. Heetderks, D.J. McFarland, P.H. Peckham, Brain-computer interface technology: a review of the first international meeting, IEEE T. Neur. Sys. Reh. 8 (2000) 164-173.

DOI: 10.1109/tre.2000.847807

Google Scholar

[4] L. Kirkup, A. Searle, A. Craig, P. McIsaac, G. Larsen, Three methods compared for detecting the onset of alpha wave synchronization following eye closure, Physiol. Meas. 19 (1998) 213-224.

DOI: 10.1088/0967-3334/19/2/009

Google Scholar

[5] B.K. Wan, H.Z. Qi, L. Zhao, B.J. Chen, B. Dhakal, Q. Chen, Remote control experiments of brain-computer interface based on alpha waves in electroencephalography, Journal of Tianjin University, 39 (2006) 978-984.

Google Scholar

[6] L. Jiang, H. Liu, Real time force optimization algorithm of multi-fingered grasp, Chinese Journal of Mechanical Engineering, 43 (2007) 144-149.

DOI: 10.3901/jme.2007.12.144

Google Scholar

[7] Z.Y. Wang, H. Wang, Y.N. Li, X. Wang, Wavelet analysis of evoked electroencephalogram (EEG) in brain-computer interface, Journal of Northeastern University(Natural Science), 26 (2005) 546-549.

Google Scholar

[8] B.H. Yang, G.Z. Yan, R.G. Yan, H. Sun, Feature extraction for EEG-based brain-computer interfaces by wavelet packet best basis decomposition, J. Neural Eng. 3 (2006) 251-256.

DOI: 10.1088/1741-2560/3/4/001

Google Scholar

[9] F.S. Yang, Engineering Analysis and Application of Wavelet Transformation, Science Press, Beijing, (1999).

Google Scholar

[10] C.S. Li, H. Wang, Wavelet transform for on-off switching BCI device, IFMBE Proceedings of 7th Asian-Pacific Conference on Medical and Biological Engineering, Beijing, 2008, 363-365.

DOI: 10.1007/978-3-540-79039-6_92

Google Scholar

[11] W. Hardle, T. Gasser, P. Bacher, EEG-responsiveness to eye opening and closing in mildly retarded children compared to a control group, Biol. Psychol. 18 (1984) 185-199.

DOI: 10.1016/0301-0511(84)90002-4

Google Scholar

[12] A. Craig, P. McIsaac, Y. Tran, L. Kirkup, A. Searle. Alpha wave reactivity following eye closure: a potential method of remote hands free control for the disabled, Technology and Disability, 10 (1999) 187-194.

DOI: 10.3233/tad-1999-10308

Google Scholar