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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Akben, S.B. Subaşı, A. Kıymık, M.K. |
| Copyright Year | 2010 |
| Description | Author affiliation: Elektrik ve Elektronik Mühendisliği Bölümü Kahramanmaraş Sütçü İmam Üniversitesi (Kıymık, M.K.) || Bahçe Meslek Yüksek Okulu Osmaniye Korkut Ata Üniversitesi (Akben, S.B.) || Department of Computer Engineering, International Burch University (Subaşı, A.) |
| Abstract | %23 of human has a migraine disease which is a painful and throbbing brain disorders. Cause of migraine isn't known and accepted automatic diagnose method of migraine by biomedical equipment isn't available yet. But researches are continuing for diagnose of migraine by assistance of triggering factors like flash stimulation. To obtain information about migraine generally change of EEG signals under flash stimulation is used as a method. In this study aim is performance analysis of classification methods of EEG signals obtained from stimulated migraine patient by flash light for automatic migraine diagnose. Firstly EEG signals obtained from both migraine patients and healthy subjects are transformed to frequency domain by using (AR) Burg method. And these frequency spectrums are classified by using artificial neural network and support vector machine classification algorithm. According to these classification results which classification algorithm has a better performance for migraine diagnose is determined. |
| Starting Page | 637 |
| Ending Page | 640 |
| File Size | 102756 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424496723 |
| e-ISBN | 9781424496716 |
| DOI | 10.1109/SIU.2010.5651470 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-22 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
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