References
- 2004년 보건복지백서, 보건복지부
- Kreifeldt, J. 'Signal versus noise characteristics of filtered EMG used as a control source,' IEEE Trans. Biomedical Engineering, Vol. BME -18, pp. 16-22, 1971 https://doi.org/10.1109/TBME.1971.4502784
- Stulen, F.B., Luca, C.J., 'Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity,' IEEE Tran. Biomedical Engineering, Vol. BME - 28, pp. 515-523, 1981 https://doi.org/10.1109/TBME.1981.324738
- Xiong, F.Q., Shwedyk.Ed., 'Some aspects of nonstationary myoelectric signal processing,' IEEE Trans. Biomedical Engineering, Vol. BME - 34, pp. 166-172, 1987 https://doi.org/10.1109/TBME.1987.326041
- Studer, R.M., 'An algorithm for sequential signal estimation and system identification for EMG signals,' IEEE Trans. Biomedical Engineering, Vol. BME-31, No.3, pp. 285-295, 1984 https://doi.org/10.1109/TBME.1984.325267
- Markhoul, J.D., 'Linear Prediction: A tutorial review,' Proceedings IEEE, Vol. 63, pp. 561-579, 1975
- Atal, B.S., 'Effectiveness of linear prcxliction characteristics of the speech wave for automatic sperker identification and verification,' JASA., Vol. 55, pp. 1304-1312, 1974 https://doi.org/10.1121/1.1914702
- Kiryu, T., Saitoh, S., Ishioka, K., 'Inverstigation on parametric analysis of dynamic EMG signals by a musclc-sutrutured simulation model,' IEEE Trans. Biomedical Engineering, Vol. BME - 39, pp. 280-288, 1992
- O'Neill. P.A., 'Myoelectric singal characteristics from muscles in residual upper limbs,' IEEE Trans. Rehabilitation Engineering, Vol. 2, No.4, 1994
- Sheriff, M.H., 'Effects of load on myoelectric signals : the ARMA representation,' IEEE Trans., Vol. BME - 28, pp. 411-416, 1981
- Wirta, R.W., Taylor, D.R., Finley, F.R., 'Pattern recognition arm prostheses : A historical perspective-A final report,' Bull Prothes. Research, pp. 8-35, 1978
- Hannaford, B., Lehman, S., 'Short time fourier analysis of the electromyogram : Fast movements and constant constraction,' IEEE Trans. Biomedical Engineering, Vol BME - 33, No. 12, 1987
- Troilo, R.J., Moskowizt, G.D., 'Theoretical development of a multichannel time-series myoprocessor for simultaneous limb function detection and muscle force estimation,' IEEE Trans, Biomedical Engineering, Vol. BME - 36, No. 10, pp. 1004-1017, 1989
- Park, S., Lee, S., 'EMG Pattern Recognition based on Artificial Intelligence Techniques,' IEEE. Trans. on Rehabilitation Engineering, Vol. 6, No.4, 1998
- Kelly, M.F., Parker, P.A, Scott, R.N., 'The application of neural networks to myoelectric signal analysis: A preliminary study,' IEEE Trans Biomedical Engineering, Vol. 37, No.3, pp. 221-230, 1990 https://doi.org/10.1109/10.52324
- Ozyilmaz, L., Yilclirim, T., Seker, H., 'EMG Signal Classification Using Conic Section Function Neural Networks,' International Joint Conference on Neural networks, Vol. 5, pp. 3601-3603, 1999
- AI-Assaf, Al-Nashash, Y., 'Myoelectric signal segmentation and classification using wavelets based neural networks,' 2001. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 2, pp. 1820 -1823, 2001