Control of dexterous bio-prosthetic hand via sequential recognition of EMG signals using fuzzy relations

Studies in Health Technology and Informatics

Volumn 150, Issue , 2009, Pages 799-803

  Kurzynski, Marek ^a   Wolczowski, Andrzej ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Bio prosthesis; Emg signal; Fuzzy relati; Pattern recognition

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; PROSTHETICS;

ELEMENTARY ACTIONS; EMG SIGNAL; EXPERIMENTAL INVESTIGATIONS; FUZZY RELATI; PROSTHESIS CONTROL; PROSTHETIC HANDS; SEQUENTIAL RECOGNITION; SPECIFIC SEQUENCES;

PATTERN RECOGNITION;

AUTOMATED PATTERN RECOGNITION; CONFERENCE PAPER; ELECTROMYOGRAPHY; FUZZY LOGIC; HAND; HUMAN; METHODOLOGY; MUSCLE CONTRACTION; PROSTHESES AND ORTHOSES;

ELECTROMYOGRAPHY; FUZZY LOGIC; HAND; HUMANS; MUSCLE CONTRACTION; PATTERN RECOGNITION, AUTOMATED; PROSTHESES AND IMPLANTS;

EID: 72249094434     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-044-5-79     Document Type: Conference Paper

References (14)

1. Boostani, R., Moradi, M. (2003) Evaluation of the forearm EMG signal features for the control of a prosthetic hand. Physiological Measurement 24, 309-319.
2. Chu, J.-U., Moon, I., Mun, M. (2006) A real-time EMG pattern recognition system based on linearnonlinear feature projection for a multifunction myoelectric hand. IEEE Transactions on Biomedical Engineering 53, 2232-2239.
3. De Luca, C.J., Adam, A., Wotiz, R., Gilmore, L., Nawab, S. (2006) Decomposition of surface EMG signals. Journal of Neurophysiology 96, 1646-1657.
4. Englehart, K., Hudgins, B. (2003) A robust, real-time control scheme for multifunction myoelectric control. IEEE Transactions on Biomedical Engineering 50, 848-854.
5. Light, C., Chappell, P., Hudgins, B., Engelhart, K. (2002) Intelligent multifunction myoelectric control of hand prostheses. Journal of Medical Engineering & Technology 26, 139-146.
6. Su, Y. et al. (2007) Towards and EMG controlled prosthetic hand using a 3D electromagnetic positioning system. IEEE Transactions on Instrumentation and Measurement 56, 178-186.
7. Zecca, M., Micera, S., Carrozza, M., Dario, P. (2002) Control of multifunctional prosthetic hands by processing the electromyographic signal. Critical Reviews in Biomedical Engineering 30, 459-485.
8. Wolczowski, A., Kurzynski, M. (2004) Control of artificial hand via recognition of EMG signals. Lecture Notes in Computer Science 3337, 356-364.
9. Kurzynski, M., (1998) Benchmark of approaches to sequential diagnosis. In Lisboa, P. (ed.) Artificial Neural Networks in Biomedicine, Springer Verlag, 129-141.
10. Ray, K., Dinda, T. (2003) Pattern classification using fuzzy relational calculus. IEEE Transactions on Systems, Man and Cybernetics B 33:1-16.
11. Czogala, E., Leski, J. (2000) Fuzzy and Neurofuzzy Intelligent Systems. Springer Verlag, Berlin.
12. Zolnierek, A., Kurzynski, M. (2007) Rough sets and fuzzy sets theory applied to the sequential medical diagnosis. Lecture Notes in Bioinformatics 4774, 311-322.
13. Wolczowski, A., Myslinski, S. (2006) Identifying the relation between finger motion and EMG signals for bioprosthesis control. In Proceedings of 12th IEEE International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, 127-137.
14. Devroye, L., Gyorfi, P., Lugossi, G. (1996) A Probabilistic Theory of Pattern Recognition. Springer Verlag, New York.