Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function

被引:179
作者
Blanco, S
Figliola, A
Quiroga, RQ
Rosso, OA
Serrano, E
机构
[1] Univ Buenos Aires, Inst Calculo, Fac Ciencias Exactas & Nat, RA-1428 Buenos Aires, DF, Argentina
[2] Univ Lubeck, Inst Physiol, D-23538 Lubeck 1, Germany
[3] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Matemat, RA-1428 Buenos Aires, DF, Argentina
关键词
D O I
10.1103/PhysRevE.57.932
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Signals obtained during tonic-clonic epileptic seizures are usually neglected for analysis by the physicians due to the presence of noise caused by muscle contractions. Although noise obscures completely the recording, some information about the underlying brain activity can be obtained with wavelet transform by filtering those frequencies associated with muscle activity. One great advantage of this method over traditional filtering is that the filtered frequencies do not modify the pattern of the remanent ones. An accurate analysis of the different seizure stages was achieved using the wavelet packet method, and through the information cost function the brain dynamical. behavior can be accessed.
引用
收藏
页码:932 / 940
页数:9
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