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

Zhi-Xiang Yang; Bin-Qiang Chen

doi:10.3389/fnins.2022.984471

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

Front Neurosci. 2022 Nov 25:16:984471. doi: 10.3389/fnins.2022.984471. eCollection 2022.

Authors

Zhi-Xiang Yang¹, Bin-Qiang Chen¹

Affiliation

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

No abstract available

Keywords: Alzheimer's disease (AD); Fourier transform; artificial intelligence; electroencephalogram (EEG); power line interference (PLI); sparse representation (SR).