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1.
AUTOMATIC DETECTION OF EPILEPTIFORM ACTIVITY IN EEG BASED ON MULTI-RESOLUTION AND APPROXIMATE ENTROPY
基于多分辨分析和近似熵的脑电癫痫波自动检测
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Study of Automatic Detection of Epileptiform Waves in Children EEG
自动检测儿童脑电中癫痫波的方法研究
3.
AUTOMATIC DETECTION AND CLASSIFICATION OF EPILEPTIC WAVES IN EEG--A BIERARCHICAL MULTI?METHOD INTEGRATED APPROACH
脑电中癫痫波的自动检测与分类──一种分层次、多方法整合的途径
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Using Modulus Maximum Pair of Wavelet Transform to Detect Spike Wave of Epileptic EEG
癫痫脑电棘波的小波变换模极大值对检测方法
5.
STUDY ON SYNTHESIZED MULTI-METHODS TO DETECT AND CLASSIFY THE EPILEPTIC WAVES IN THE EEG
癫痫脑电特征波的综合检测分类方法研究
6.
Automatic Detection of Epileptiform Transients in EEG by a Two-stage Algorithm Based on Sparse Representation
基于稀疏表示的两阶段脑电癫痫波检测算法研究
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Application of Nonlinear Dynamics Analysis of EEG: Epileptic Seizyre Prediction;
脑电非线性动力学分析:癫痫发作预测
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Methodology Study on Automatic Recognition of Epileptiform Activity in EEG
癫痫脑电信号自动识别中若干方法学研究
9.
Comprehensive Study of CSF Igs in Patients with Eptlepsy
癫痫病人脑脊液免疫球蛋白综合检测
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Nursing intervention on epilepsy patients undergoing video frequency electroencephalographic monitoring
癫痫病人行视频脑电监测的护理干预
11.
DIAGNOSIS VALUE OF TWENTY-FOUR-HOUR AMBULATORY EEG MONITORING ON PATIENTS WITH EPILEPSY
24小时脑电监测对癫痫的诊断价值
12.
A COMPARATIVE STUDY ON ELECTROENCEPHALO GRAPHY AND BENTON REVISED VISUAL RETENTION TEST IN EPILEPSY
癫痫脑电图与视觉保持测定对比研究
13.
The automatic spike detection in EEG is significant in clinical application.
癫痫特征的自动检测在临床应用上具有重要的意义。
14.
Phase Hypersynchronization of EEG and Its Wavelet Components for Epilepsy Patients;
癫痫脑电及其小波分量相位超同步性的研究
15.
Feature extraction of epileptic EEG signals based on wavelet package transform
基于小波包变换的癫痫脑电信号特征提取
16.
Video EEG monitoring in diagnosis of epilepsy in childhood
电视录相脑电监测在小儿癫痫诊断中的应用
17.
Application of EEG minitoring to the localization of epileptogenic zone
颅内电极脑电监测定位致癫痫灶的应用价值
18.
DIAGNOSIS OF EPILEPSY BY EEG OF ACUPUNCTURE NEEDLE SPHEROIDAL ELECTRODE (Analysis of 110 cases)
毫针蝶骨电极脑电图检查对提高癫痫诊断率的体会(附110例癫痫检查分析)