Hilbert–Huang Transform Applied to the Recognition of Multimodal Biosignals in the Control of Bioprosthetic Hand

Author:

Puchala Edward,Krysmann Maciej,Kurzyński Marek

Publisher

Springer International Publishing

Reference13 articles.

1. Englehart, K., Hudgins, B.: A robust, real-time control scheme for multifunction myoelectric control. IEEE Trans. Biomed. Eng. 50, 848–854 (2003)

2. Wolczowski A., Kurzynski M.: Control of Artificial Hand Via Recognition of EMG Signals. Lecture Notes in Computer Science, vol. 3337, pp. 356–364. Springer, Berlin (2004)

3. Wolczowski A, Myslinski S.: Identifying the relation between finger motion and EMG signals for bioprosthesis control. In: IEEE International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, pp. 127–137 (2006)

4. Kurzynski M., Wolczowski A.: Control system of bioprosthetic hand based on advanced analysis of biosignals and feedback from the prosthesis sensors. In: Proceedings of the Third International Conference on Information Technologies in Biomedicine, pp. 199–208. Springer, Berlin (2012)

5. Kurzynski, M., Krysmann, M., Trajdos, P., Wolczowski, A.: Multiclassifier system with hybrid learning applied to the control of bioprosthetic hand. Computers in Biology and Medicine (under review)

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