Awadallah, A., Gadallah, M., Foaud, W., ELkafafy, M., ELsamahy, E. (2010). Computerized EEG Abnormalities Detection. test, 7(7th International Conference on Electrical Engineering ICEENG 2010), 1-13. doi: 10.21608/iceeng.2010.33270
Ahmed Awadallah; Mahmoud Gadallah; Walid Foaud; Magdy ELkafafy; Emad ELsamahy. "Computerized EEG Abnormalities Detection". test, 7, 7th International Conference on Electrical Engineering ICEENG 2010, 2010, 1-13. doi: 10.21608/iceeng.2010.33270
Awadallah, A., Gadallah, M., Foaud, W., ELkafafy, M., ELsamahy, E. (2010). 'Computerized EEG Abnormalities Detection', test, 7(7th International Conference on Electrical Engineering ICEENG 2010), pp. 1-13. doi: 10.21608/iceeng.2010.33270
Awadallah, A., Gadallah, M., Foaud, W., ELkafafy, M., ELsamahy, E. Computerized EEG Abnormalities Detection. test, 2010; 7(7th International Conference on Electrical Engineering ICEENG 2010): 1-13. doi: 10.21608/iceeng.2010.33270

Computerized EEG Abnormalities Detection

The International Conference on Electrical Engineering
Article 99, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Pages 1-13    PDF (1.12 M)
Document Type: Original Article
DOI: 10.21608/iceeng.2010.33270
Authors
Ahmed Awadallah1; Mahmoud Gadallah1; Walid Foaud2; Magdy ELkafafy1; Emad ELsamahy1
1Egyptian Armed Forces.
2EL_Azhar University.
Abstract
Abstract:
The traditional Electroencephalogram (EEG) visual inspection suffers from the limited
accuracy of the human interpretator, and the variation of different interpretator skills. In
addition, the accurate investigation of the EEG requires long time and big effort. A
proposed Computerized EEG Abnormalities Detection (CEAD) system is introduced to
overcome the limitations of the traditional EEG visual inspection method. This system
has the ability to detect the EEG abnormalities automatically and display them to the
physician both numerically and graphically. Moreover, the system can show the EEG
electrodes that have the abnormal events on a graphical skull map. The proposed system
saves much time and effort for the interpretator, as well as providing high accuracy in
detecting the EEG abnormalities.
Keywords
EEG; Abnormalities Detection; Computerized Techniques
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