APPLICATION OF NEURAL NETWORKS FOR EEG-ANALYSIS - CONSIDERATIONS AND FIRST RESULTS

被引:23
作者
KLOPPEL, B
机构
[1] Universitat Kassel, FB 17, D-34132 Kassel
关键词
ARTIFICIAL NEURAL NETWORKS; GENERAL EEG METHODOLOGY;
D O I
10.1159/000119061
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
This paper presents the results of the practical use of artificial neural networks in the field of EEG analysis. It describes the general methodology of application as well as a case study of a discrimination of depressive and psychotic patients using 16-channel long-term EEG data prepared by classical pre-processing (spectral decomposition). This study shows advantages and current limits concerning different levels of generalisation capabilities using a representative application example.
引用
收藏
页码:39 / 46
页数:8
相关论文
共 8 条
[1]  
BEHME H, 1990, MODELS BRAIN FUNCTIO
[2]   CLASSIFICATION BY NEURAL NETWORKS OF EVOKED-POTENTIALS - A FIRST CASE-STUDY [J].
KLOPPEL, B .
NEUROPSYCHOBIOLOGY, 1994, 29 (01) :47-52
[3]   NEURAL NETWORKS AS A NEW METHOD FOR EEG-ANALYSIS - A BASIC INTRODUCTION [J].
KLOPPEL, B .
NEUROPSYCHOBIOLOGY, 1994, 29 (01) :33-38
[4]  
KLOPPEL B, 1992, MATH SCHRIFTEN KASSE, V9, P1
[5]  
KLOPPEL B, 1990, MAY P INT S NEUR NET
[6]  
RUMELHARDT DE, 1986, PARALLEL DISTRIBUTED, V1
[7]  
RUMELHARDT DE, 1986, PARALLEL DISTRIBUTED, V2
[8]  
WERNER H, 1990, MAY P INT S NEUR NET