<bold>A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings</bold>

被引：16
|
作者：
Tzallas, Alexandros T. [1 ]
Tsipouras, Markos G. [2 ]
Fotiadis, Dirnitrios I. [2 ]
机构：
[1] Univ Ioannina, Dept Med Phys, Sch Med, GR-45110 Ioannina, Greece
[2] Univ Ioannina, Dept Comp Sci, Unit Med Technol & Intelligent Informat Syst, GR-45110 Ioannina, Greece
来源：
TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/CBMS.2007.17
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed First, segments of the EEG signals are analyzed using a time-frequency distribution and then, several features are extracted for each segment, representing the energy distribution over the time-frequency plane. Those features are used as an input in an artificial neural network (ANN), which provides the final classification of the EEG segments (existence of epileptic seizure or not). The evaluation results are very promising, indicating overall accuracy from 89.4% to 99%.
引用
收藏
页码：135 / +
页数：2
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