Optimal electrode configurations for finger movement classification using EMG

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 2987-2990

  Andrews, Alex ^a   Morin, Evelyn ^a   McLean, Linda ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRODES; PROSTHETICS;

CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; FINGER MOVEMENTS; MUSCLE ACTIVITIES; MYOELECTRIC SIGNALS; OPTIMAL ELECTRODES; PROSTHESIS CONTROL; PROSTHETIC CONTROLS;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

EID: 77950987276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5332520     Document Type: Conference Paper

References (6)

1. A. Andrews, "Finger movement classification using forearm EMG signals," M. Sc. dissertation, Queen's University, Kingston, ON, Canada, 2008.
2. F. Tenore, A. Ramos, A. Fahmy, S. Acharya, R. Etienne-Cummings, N. V. Thakor, "Towards the control of individual fingers of a prosthetic hand using surface EMG signals," Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, pp. 6145-6148, Aug. 2007.
3. K. Englehart, B. Hudgins, P. A. Parker, "A wavelet-based continuous classification scheme for multifunction myoelectric control" IEEE Transactions on Biomedical Engineering, vol.48, pp. 302-311, Mar. 2001.
4. A. Hiraiwa, K. Shimohara, Y. Tokunaga, "EMG pattern analysis and classification by neural network," Proc. Int. Conf. IEEE Systems, Man and Cybernetics, vol.3, pp. 1113-1115, 1989.
5. G. Tsenov, A. H. Zeghbib, F. Palis, N. Shoylev, V. Mladenov, "Neural networks for online classification of hand and finger movements using surface EMG signals," 8th Seminar on Neural Network Applications in Electrical Engineering (NEUREL 2006), pp. 167-171, Sep. 2006.
6. N. Uchida, A. Hiraiwa, N. Sonehara, K. Shimohara, "EMG pattern recognition by neural networks for multi fingers control," Proc. Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., vol.3, pp. 1016-1018, 1992.