Fuzzy Rule-based Seizure Prediction based on Correlation Dimension Changes in Intracranial EEG

被引：16
|
作者：
Rabbi, Ahmed F. [1 ]
Aarabi, Ardalan [2 ]
Fazel-Rezai, Reza [1 ]
机构：
[1] Univ North Dakota, Dept Elect Engn, Biomed Signal Proc Lab, BRAIN Team, Grand Forks, ND 58202 USA
[2] Univ Minnesota, Dept Biomed Engn, Minneapolis, MN 55455 USA
来源：
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
基金：
美国国家科学基金会;
关键词：
EPILEPTIC SEIZURES;
D O I：
10.1109/IEMBS.2010.5627247
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this paper, we present a method for epileptic seizure prediction from intracranial EEG recordings. We applied correlation dimension, a nonlinear dynamics based univariate characteristic measure for extracting features from EEG segments. Finally, we designed a fuzzy rule-based system for seizure prediction. The system is primarily designed based on expert's knowledge and reasoning. A spatial-temporal filtering method was used in accordance with the fuzzy rule-based inference system for issuing forecasting alarms. The system was evaluated on EEG data from 10 patients having 15 seizures.
引用
收藏
页码：3301 / 3304
页数：4
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