Similar articles

Abstract: neuro signal has many more advantages than myoelectricity in providing information for prosthesis control, and can be an ideal source for developing new prosthesis. In this work, by implanting intrafascicular electrode clinically in the amputee’s upper extremity, collective signals from fascicules of three main nerves (radial nerve, ulnar nerve and medium nerve) were successfully detected with sufficient fidelity and without infection. Initial analysis of features under different actions was performed and movement recognition of detected samples was attempted. Singular value decomposition features (SVD) extracted from wavelet coefficients were used as inputs for neural network classifier to predict amputee’s movement intentions. The whole training rate was up to 80.94% and the test rate was 56.87% without over-training. This result gives inspiring prospect that collective signals from fascicules of the three main nerves are feasible sources for controlling prosthesis. Ways for improving accuracy in developing prosthesis controlled by neuro signals are discussed in the end.

[1] Burrow, M., Dugger, J., Humphrey, D., Hochberg, L., Reed, D., 1997. Cortical Control of a Robot Using a Time-delay Neural Network. Proceedings of International Conference on Rehabilitation Robotics ICORR. Bath, UK, p.83-86.

[2] Chapin, J.K., Moxon, K.A., Markowitz, R.S., Nicolelis, M.A., 1999. Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Natural Neuroscience, 2:664-670.

[3] Chen, Z.W., 2002. Advances of Microsurgery in China. Proceedings of ISRE&CR. Dalian, China, p.4-6 (in Chinese).

[4] Davies, D.L., Bouldin, D.W., 1979. A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1:224-227.

[5] Humphrey, D.R., 1972. Relating motor cortex spike trains to measures of motor performance. Brain Research, 40:7-18.

[6] Kermani, M.Z., Wheeler, B.C., 1992. Finding the Number of Neurons in Extracellular Recordings: A Comparison of the Effectiveness of Popular Clustering Indices. In: Penna, M.A. (Ed.), Proceedings of Computational Neuroscience Symposium. October, Indianapolis, p.229-235.

[7] Kovacs, G.T.A., Stephanides, M.C., Knapp, W.R., McVittie, J.P., Hentz, V.R., Rosen, J.M., 1987. Development of Chronic Implant Neural Prosthesis Microelectrode Arrays. Proceedings of IEEE MONTECH’87 Conference on Biomedical Technologies. Montreal, Quebec, p.152-155.

[8] Lin, C.L., Wang, S.C., Wu, H.C., Young, S.T., Lee, M.H., Kuo, T.S., 1998. A speech controlled artificial limb based on DSP chip. IEEE Proceedings of 20th ACMBS, 20(5):2074-2075.

[9] Mallat, S., 1989. A theory for multi-resolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31:674-693.

[10] Pittner, S., Kamarthi, S.V., 1999. Feature extraction from wavelet coefficients for pattern recognition tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(1):83-88.

[11] Schwartz, A.B., 1994. Direct cortical representation of drawing. Science, 265:540-542.

[12] Schwartz, A.B., Kettner, R.E., Georgopoulos, A.P., 1988. Primate motor cortex and free arm movements to visual targets in three-dimensional space. I. relations between single cell discharge and direction of movement. Journal of Neuroscience, 8:2913-2927.

[13] Weber, D.J., He, J., Isaacs, R.E., Schwartz, A.B., 1999. Response of Simultaneously Recorded Cortical Neurons to Perturbations in Arm Trajectory. Proceedings of The First Joint BMES/EMBS Conference. Atlanta, USA, p.13-16.

[14] Wessberg, J., Stambaugh, R., Kralik, J.F., Beck, P.D., Laubach, M., Chapin, J.K., Kim, J., Biggs, J., Srinivasan, M.A., Nicolelis, M.A., 2000. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature, 408:361-365.

[15] Zhang, X.W., Yang, Y.P., Xu, X.M., Zhang, M., 2002. Wavelet Based Neuro-fuzzy Classification for EMG Control. IEEE Proceedings of ICCCAS. Chengdu, China, p.1087-1089.

[16] Zhang, X.W., Yang, Y.P., Xu, X.M., 2003. Wavelet based feature representation. Computer Engineering and Applications, 39(19):25-28 (in Chinese).

[17] Zhang, X.W., Hu, T.P., Gao, Z.H., Yang, Y.P., Xu, X.M., Zhang, J., Zheng, X.J., Jia, X.F., Chen, Z.W., Chen, T.Y., 2004. Initial Detection and Analysis on Neuro-information from Amputee. The 11th World Congress of the International Society for Prosthetics and Orthotics. Hong Kong, China.

[18] Zheng, X.J., Zhang, J., Chen, T.Y., Chen, Z.W., 2002. Self-made Longitudinally Implanted Intrafascicular Electrodes for Stimulating and Recording Fascicular Physioelectrical Signals in Sciatic Nerve of Rabbits. Proceedings of ISRE&CR. Dalian, China, p.245-250.