EEG feature extraction using parametric and non-parametric models

Shiman, F. and Safavi, S.H. and Vaneghi, F.M. and Oladazimi, M. and Safari, M.J. and Ibrahim, F. (2012) EEG feature extraction using parametric and non-parametric models. In: IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering, 2012, Hong Kong and Shenzhen.

Preview

PDF (EEG feature extraction using parametric and non-parametric models) EEG_feature_extraction_using_parametric_and_non-parametric_models.pdf - Published Version Download (258kB)

Abstract

We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide good performance for EEG signal while non-parametric method lack of detail information on the EEG analysis. © 2012 IEEE.

Item Type:	Conference or Workshop Item (Paper)
Funders:	UNSPECIFIED
Additional Information:	Conference code: 91242 Export Date: 29 January 2014 Source: Scopus Art. No.: 6211507 doi: 10.1109/BHI.2012.6211507 Language of Original Document: English Correspondence Address: Shiman, F.; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia; email: fatimah@um.edu.my References: De Luca, C., Encyclopedia of Medical Devices and Instrumentation (2006) John G. Webster; He, C., Wang, J., An Independent Component Analysis (ICA) Based Approach for EEG Person Authentication, pp. 1-4; Gannabathula, P.S.S.D., Murthy, I., ARMA Model Estimation for EEG Using Canonical Correlation Analysis, 3, pp. 1204-1205; Donahue, A.B., Electroconvulsive therapy and memory loss: A personal journey (2000) The Journal of ECT, 16, p. 133; Abrams, R., Does brief-pulse ECT cause persistent or permanent memory impairment? (2002) The Journal of ECT, 18, p. 71; Kamp, A., Van Leeuwen, W.S., Tielen, A., A method for auto-and cross-relation analysis of the EEG (1965) Electroencephalography and Clinical Neurophysiology, 19, pp. 91-95; Remond, A., Lesèvre, N., Joseph, J., Rieger, H., Lairy, G., The alpha average. I methodology and description (1969) Electroencephalography and Clinical Neurophysiology, 26, pp. 245-265; Dean Linden, R., Picton, T.W., Hamel, G., Campbell, K.B., Human auditory steady-state evoked potentials during selective attention (1987) Electroencephalography and Clinical Neurophysiology, 66, pp. 145-159; Czinege, L., Urbanics, R., Farkas, Z., (1995) Multi-channel Activity Correlation Analysis-a Method to Detect Ischemic Changes of the EEG, 1, pp. 735-736; Czinege, L., Urbanics, R., Farkas, Z., (1994) Multi-channel EEG Activity Correlation Analysis to Detect the Onset of Cerebral Ischemia, 2, pp. 1230-1231; Baccalá, L.A., Sameshima, K., Overcoming the limitations of correlation analysis for many simultaneously processed neural structures (2001) Progress in Brain Research, 130, pp. 33-47; Zhang, A., Yang, B., Huang, L., (2008) Feature Extraction of EEG Signals Using Power Spectral Entropy, pp. 435-439; Lopes Da Silva, F., EEG analysis: Theory and practice (1998) Electroencephalography: Basic Principles, Clinical Applications and Related Fields, 4th Edition, pp. 1135-1163; Levy, W.J., Shapiro, H.M., Maruchak, G., Meathe, E., Automated EEG processing for intraoperative monitoring: A comparison of techniques (1980) Anesthesiology, 53, p. 223; Kong, X., Forward and Backward Autoregressive Modeling of EEG, 3, pp. 1215-1217; Cassar, T., Camilleri, K., Fabri, S., Zervakis, M., Micheloyannis, S., ARMA Modeling for the Diagnosis of Controlled Epileptic Activity in Young Children, pp. 25-30; Kellner, C., Nixon, D., Bernstein, H., ECT - Drug interactions: A review (1991) Psychopharmacology Bulletin, 27, p. 595; Barton, M.J., Evaluating the perfonnance of kalman-filter-based eeg source localization (2009) Biomedical Engineering, IEEE Transactions on, 56, pp. 122-136; Westdrop, A., (1993) Volume Conduction Effects on Correlation Analysis of EEG Data, pp. 150-152; Salleh, N., Lim, K., Ibrahim, F., (2009) AR Modeling As EEG Spectral Analysis on Prostration, pp. 1-4; Hosni, S.M., Gadallah, M.E., Bahgat, S.F., AbdelWahab, M.S., (2007) Classification of EEG Signals Using Different Feature Extraction Techniques for Mental-task BCI, pp. 220-226; Isaksson, A., Wennberg, A., Zetterberg, L., Computer analysis of EEG signals with parametric models (1981) Proceedings of the IEEE, 69, pp. 451-461; Bronzino, J.D., (2000) The Biomedical Engineering Handbook, 2. , CRC Pr I L1c; Rémond, A., I. F. o. S. f. Electroencephalography, and C. Neurophysiology (1977) EEG Informatics: A Didactic Review of Methods and Applications of EEG Data Processing: Lectures for An International Course in EEG Data Processing, Held Under the Auspices of the International Federation of Societies for Electroencephalography and Clinical Neurophysiology in Paris on August 29-September 2, 1977, , Elsevier Scientific; Jansen, B.H., Bourne, J.R., Ward, J.W., Autoregressive estimation of short segment spectra for computerized EEG analysis (1981) Biomedical Engineering, IEEE Transactions on, pp. 630-638 Sponsors: IEEE Engineering in Medicine and Biology Society (IEEE-EMBS); Key Lab. Health Informatics, Chin. Acad. Sci. (HI-CAS); CAS-SIAT Institute of Biomedical and Health Engineering (IBHE)
Uncontrolled Keywords:	EEG analysis, EEG signals, Non-parametric model, Nonparametric methods, Parametric method, Biomedical equipment, Biosensors, Feature extraction
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering
Depositing User:	Mr Jenal S
Date Deposited:	12 Feb 2014 01:09
Last Modified:	01 Nov 2017 05:35
URI:	http://eprints.um.edu.my/id/eprint/9282

Actions (login required)

View Item