An effective sparsity evaluation criterion for power-line interference suppression of EEG signal

被引：1
|
作者：
Yang, Zhi-xiang [1 ]
Chen, Bin-qiang [1 ]
机构：
[1] Xiamen Univ, Sch Aerosp Engn, Xiamen, Peoples R China
来源：
FRONTIERS IN NEUROSCIENCE | 2022年 / 16卷
关键词：
electroencephalogram (EEG); Alzheimer's disease (AD); artificial intelligence; power line interference (PLI); Fourier transform; sparse representation (SR); NOTCH FILTER; REPRESENTATION; NOISE; ELECTROENCEPHALOGRAM; DEMENTIA; REMOVAL;
D O I：
10.3389/fnins.2022.984471
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
引用
收藏
页数：6
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