Research ArticleOpen AccessGoogle Scholar indexed
Performance comparison of neural network training methods based on wavelet packet transform for classification of five mental tasks
- 1
- 2
- 3
- 4
Journal of Biomedical Science and Engineering·Volume 03 (2010)·Pages 612–617·Published 25 June 2010·DOI10.4236/jbise.2010.36083
Copy link · social · email
Abstract
In this study, performances comparison to discriminate five mental states of five artificial neural network (ANN) training methods were investigated. Wavelet Packet Transform (WPT) was used for feature extraction of the relevant frequency bands from raw electroencephalogram (EEG) signals. The five ANN training methods used were (a) Gradient Descent Back Propagation (b) Levenberg-Marquardt (c) Resilient Back Propagation (d) Conjugate Learning Gradient Back Propagation and (e) Gradient Descent Back Propagation with movementum.
KeywordsElectroencephalogram (EEG)Wavelet Packet Transform (WPT)Artificial Neural Network (ANN)
- Wolpaw, J.R., Birbaumer, N., Mc Farland, D.J., Plurtscheller, G. and Vaughan, T.M. (2002) Brain computer interfaces for communication and control. Clinical Neurophysiology, 113(6), 767-791.
- Pfurtschelle, G., Flotzinger, D. and Kalcher, J. (1993) Brain computer interface－A new communication device for handicapped people. Journal of Microcomputer Applications, 16, 293-299.
- Wolpaw, J.R., Vaughan, T.M. and Donchin, E. (1996) EEG based communication prospects and problems. IEEE Transactions on Rehabilitation Engineering, 4, 425-430.
- Lotte, F., Congedo, M., Lecuyer, A., Lamarche, F. and Arnaldi, B. (2007) A review of classification algorithms for EEG bases brain computer interface. Journal of neural Engineering, 4, 1-13.
- Wolpaw, J.R., Leob, G.E., Allison, B.Z., Donchin, E. and Turner, J.N. (2006) BCI Meeting 2005－Wokshop on signals and rerecording methods. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14, 138- 141.
- Anderson, C.W., Stolz, E.A. and Shamsunder, S. (1998) Multivariable autoregressive model for classification of spontaneous electroencephalogram during mental tasks. IEEE Transactions on Biomedical Engineering, 45, 277- 278.
- Boostani, R., Graimann, B., Moradi, M.H. and Plurf- scheller, G. (2007) Comparison approach toward finding the best feature and classifier in cue BCI. Journal of Medical and Biological Engineering and Computing, 45, 403-413.
- Palaniappan, R. (2006) Utilizing gamma band to improve mental task based brain－Computer interface design. IEEE Transactions on Neural and Rehabilitation Systems Engineering, 14, 299-303.
- Keirn, Z.A. and Aunon, J.I. (1990) A new mode of communication between man and his Surroundings. IEEE Transactions on Biomedical Engineering, 37, 1209-1214.
- Palaniappan, R. (2005) Brain computer interface design using band powers extracted during mental task. Procee- ding of the 2nd International IEEE EMBS Conference on Neural Engineering, Arlington, 321-324.
- Pfurtscheller, G., Neuper, C., Schlogl, A. and Lugger, K. (1998) Separability of EEG signals recorded during right and left motor imagery using adaptive auto regressive parameters. IEEE Transactions on rehabilitation Engin- eering, 6, 316-325.
- Santhosh, J., Bhatia, M., Sahu, S. and Anand, S. (2004) Quantitative EEG analysis for assessment to plan a task in ALS patients, a study of executive function (planning) in ALS. Journal of Cognitive Brain Research, 22, 59-66.