An Approach for the Preprocessing of EMG Signals Using Canonical Correlation Analysis

Author:

Anand Deeksha,Bhateja Vikrant,Srivastava Ashita,Tiwari Deepak Kumar

Publisher

Springer Singapore

Reference15 articles.

1. Luca, C. D. J., Adam, A., Wotiz, R., Gilmore, L. D., Nawab, S. H.: Decomposition of Surface EMG Signals, Journal of Neurophysiology, vol. 96, pp. 1647–1654, (2006).

2. Tiwari, D. K., Bhateja, V., Anand, D., Srivastava, A.: Combination of EEMD and Morphological Filtering for Baseline Wander Correction in EMG Signals, International Conference on Micro-Electronics, Electromagnetics and Telecommunications, Springer LNEE, pp. 1–8, (2017).

3. Reaz, M. B. L., Hussain, M. S., Yasin, F. M.: Techniques of EMG Signal Analysis: Detection, Processing, Classification and Applications, Biological Procedures Online, vol. 8, no. 1, pp. 11–35, (2006).

4. Amirmazlaghani, M., Amindavar, H.: EMG Signal Denoising via Bayesian Wavelet Shrinkage based on GARCH Modeling, In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 469–472, IEEE (2009).

5. Aschero, G., Gizdulich, P.: Denoising of Surface EMG with a Modified Wiener Filtering Approach, Journal of Electromyography and Kinesiology, vol. 20, pp. 366–373, (2010).

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