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

Zhi-Xiang Yang1, Bin-Qiang Chen1

  • 1School of Aerospace Engineering, Xiamen University, Xiamen, China.

Frontiers in Neuroscience
|December 12, 2022
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Alzheimer's disease (AD)Fourier transformartificial intelligenceelectroencephalogram (EEG)power line interference (PLI)sparse representation (SR)

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