EMG motion pattern classification through design and optimization of Neural Network

2012 International Conference on Biomedical Engineering, ICoBE 2012

Volumn , Issue , 2012, Pages 175-179

  Ahsan, Md Rezwanul ^a   Ibrahimy, Muhammad Ibn ^a   Khalifa, Othman Omran ^a  

^a INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA   (Malaysia)

Author keywords

EMG Motion Pattern; EMG Signal; EMG Signal Classification; Neural Network

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; COMPUTATIONAL PERFORMANCE; DESIGN AND OPTIMIZATION; EMG SIGNAL; FEATURE SETS; HAND MOTION; HIDDEN NEURONS; INPUT FEATURES; INTERCONNECTED NETWORK; LEVENBERG-MARQUARDT TRAINING ALGORITHM; MOTION PATTERN; SINGLE CHANNELS; TIME FREQUENCY;

BIOMEDICAL ENGINEERING; DAMAGE DETECTION; ELECTROMYOGRAPHY; OPTIMIZATION; TIME AND MOTION STUDY;

NEURAL NETWORKS;

EID: 84860684101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICoBE.2012.6179000     Document Type: Conference Paper

References (17)

1. M. R. Ahsan, M. I. Ibrahimy, and O. O. Khalifa, "EMG Signal Classification for Human Computer Interaction: A Review, " European Journal of Scientific Research, vol. 33, no. 3, pp. 480-501, 2009.
2. M. B. I. Reaz, M. S. Hussain, and F. Mohd-Yasin, "Techniques of EMG Signal Analysis: Detection, Processing, Classification and Applications, " Biological Procedures Online, vol. 8, pp. 11-35, 2006.
3. M. R. Ahsan, M. I. Ibrahimy, and O. O. Khalifa, "Hand motion detection from EMG signals by using ANN based classifier for human computer interaction, " in Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on, 2011, pp. 1-6.
4. M. R. Ahsan, M. I. Ibrahimy, and O. O. Khalifa, "Advances in electromyogram signal classification to improve the quality of life for the disabled and aged people, " Journal of Computer Science, vol. 6, no. 7, pp. 706-715, 2010.
5. A. Subasi, M. Yilmaz, and H. R. Ozcalik, "Classification of EMG signals using wavelet neural network, " Journal of neuroscience methods, vol. 156, no. 1-2, pp. 360-367, 2006.
6. A. Hiraiwa, K. Shimohara, and Y. Tokunaga, "EMG pattern analysis and classification by neural network, " in Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on, 1989, pp. 1113-1115 vol.3.
7. G. R. Naik, D. K. Kumar, V. P. Singh, and M. Palaniswami, "Hand gestures for HCI using ICA of EMG, " in Proceedings of the HCSNet workshop on Use of vision in human-computer interaction-Volume 56, 2006, pp. 67-72.
8. K. Englehart, B. Hudgins, M. Stevenson, and P. A. Parker, "A dynamic feedforward neural network for subset classification of myoelectric signal patterns, " in Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference, 2002, vol. 1, pp. 819-820.
9. M. F. Kelly, P. A. Parker, and R. N. Scott, "The application of neural networks to myoelectric signal analysis: a preliminary study, " Biomedical Engineering, IEEE Transactions on, vol. 37, no. 3, pp. 221-230, 2002.
10. B. Hudgins, P. Parker, and R. N. Scott, "A new strategy for multifunction myoelectric control, " Biomedical Engineering, IEEE Transactions on, vol. 40, no. 1, pp. 82-94, 1993.
11. J. Kim, S. Mastnik, and E. Andŕ, "EMG-based hand gesture recognition for realtime biosignal interfacing, " in Proceedings of the 13th international conference on Intelligent user interfaces, 2008, pp. 30-39.
12. K. Englehart and B. Hudgins, "A robust, real-time control scheme for multifunction myoelectric control, " Biomedical Engineering, IEEE Transactions on, vol. 50, no. 7, pp. 848-854, 2003.
13. J. Lyman, A. Freedy, and M. Solomonow, "System integration of pattern recognition, adaptive aided, upper limb prostheses, " Mechanism and Machine Theory, vol. 12, no. 5, pp. 503-514, 1977.
14. G. Tsenov, A. H. Zeghbib, F. Palis, N. Shoylev, and V. Mladenov, "Neural networks for online classification of hand and finger movements using surface EMG signals, " in Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on, 2007, pp. 167-171.
15. A. Phinyomark, C. Limsakul, and P. Phukpattaranont, "A novel feature extraction for robust EMG pattern recognition, " Journal of Computing, vol. 1, no. 1, pp. 71-80, 2009.
16. T. Itou, M. Terao, J. Nagata, and M. Yoshida, "Mouse cursor control system using EMG, " in Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, 2001, vol. 2, pp. 1368-1369.
17. Kyung Kwon Jung, Joo Woong Kim, Hyun Kwan Lee, Sung Boo Chung, and Ki Hwan Eom, "EMG pattern classification using spectral estimation and neural network, " in SICE, 2007 Annual Conference, 2007, pp. 1108-1111.