Cepstral Analysis Based Artifact Detection, Recognition and Removal for Prefrontal EEG

no code implementations • 12 Apr 2024 • Siqi Han, Chao Zhang, Jiaxin Lei, Qingquan Han, Yuhui Du, Anhe Wang, Shuo Bai, Milin Zhang

The proposed method achieves an accuracy of 99. 62% on the artifact detection task and a 82. 79% accuracy on the 6-category eye movement classification task.

Artifact Detection EEG +1

SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG

no code implementations • 3 Sep 2022 • Chao Zhang, Zijian Tang, Taoming Guo, Jiaxin Lei, Jiaxin Xiao, Anhe Wang, Shuo Bai, Milin Zhang

This paper proposes SaleNet - an end-to-end convolutional neural network (CNN) for sustained attention level evaluation using prefrontal electroencephalogram (EEG).

Clustering EEG +2