The week's pick
Reseach Article
Feature Extraction and Classification of EEG Spectra of Alcoholic Subjects
| National Symposium on Modern Information and Communication Technologies for Digital India |
| Foundation of Computer Science USA |
| MICTDI2016 - Number 1 |
| December 2016 |
| Authors: Paramita Guha, Sugandh Jain, Sunita Mishra |
| 10043b2e-e516-40ea-aa63-a38db7d25cb8 |
Paramita Guha, Sugandh Jain, Sunita Mishra . Feature Extraction and Classification of EEG Spectra of Alcoholic Subjects. National Symposium on Modern Information and Communication Technologies for Digital India. MICTDI2016, 1 (December 2016), 31-34.
Abstract
This paper considers the modeling and simulation techniques of electroencephalography (EEG) signals. EEG signals of two different categories of subjects viz. , alcoholic and normal patients are considered here. The signals are decomposed into several components using discrete wavelet transform technique to achieve different frequency bands of the brainwaves. After that different classification techniques, like, Principle Component Analysis (PCA) and Partial Least Square (PLS) to distinguish the alcoholic signals from the normal subjects. A comparative analysis is given and also further extensions are identified.
References
- L. Behmer, L. Fournier, "Working memory modulates neural efficiency over motor components during a novel action planning task: An EEG study", Behavioural Brain Research, vol. 260, no. 1, pp. 1–7, 2014.
- M. Saeidi, A. Nazemipour, "Adaptive weighted averaging filter using the appropriate number of consecutive frames", International Journal of Electrical, Computer, Energetic, Electronic & Communication Engineering, vol. 4, no. 10, 2010.
- N. Liu, C. Chiang, H. Chu, "Recognizing the degree of human attention using EEG signals from mobile sensors", Sensors, vol. 13, 2013.
- https://archive. ics. uci. edu/ml/datasets/EEG+Database
- X. Zhang, H. Begleiter, B. Porjesz, W. Wang, A. Litke, "Event related potentials during object recognition tasks", Brain Research Bulletin, vol. 38, no. 6, pp. 531538, 1995.
- Chesnutt, "Feature generation of EEG data using wavelet analysis", MSc Thesis, Texas Tech University, 2012.
- R. Kottaimalai, M. Rajasekaran, V. Selvam, B. Kannapiran, "EEG signal classification using principal component analysis with neural network in brain computer interface applications", International Conference on Emerging Trends in Computing, Communication and Nanotechnology, India, 25-26 March 2013.
- T. Kayikcioglu, M. Maleki, K. Eroglu, "Fast and accurate PLS-based classification of EEG sleep using single channel data", Expert Systems with Applications, vol. 42, no. 21, pp. 7825–7830, 2015.
Index Terms
Keywords