广东工业大学学报2015，Vol.32Issue(4)：60-66,7.DOI:10.3969/j.issn.1007-7162.2015.04.011
基于脑电高频振荡节律的癫痫始发区快速定位算法研究
Fast Automated Detection Method of Seizure Onset Zone by High Frequency Oscillations
摘要
Abstract
High frequency oscillations have been recently proposed as a new biomarker of seizure onset zone.Marking epileptic discharge is highly time-consuming,easy to get false detection,and the relation between discharge and seizure still leaves much to define.This paper presents a fast automated detection method based on the difference of power spectral density in each channel,and similarity of filtered signal enveloped on epilepsy propagation path,and also the combination with complex Morlet wavelet transform to classify high frequency oscillations.The results obtained in 4 clinical cases show high performance in terms of sensitivity and specificity which can be considered as an effective method in preoperative locali-zation.关键词
高频振荡节律/癫痫脑电信号处理/AR模型/复Morlet小波变换Key words
high frequency oscillations/epileptic recordings/AR model/complex Morlet wavelet trans-form分类
医药卫生引用本文复制引用
杜玉晓,陈崇毅..基于脑电高频振荡节律的癫痫始发区快速定位算法研究[J].广东工业大学学报,2015,32(4):60-66,7.基金项目
国家科技支撑计划项目(504140001) （504140001）
广东省科技计划项目(502140112) （502140112）
