An Approach for EEG Denoising Based on Wasserstein Generative Adversarial Network-Reference-Cited by-同舟云学术

An Approach for EEG Denoising Based on Wasserstein Generative Adversarial Network

Published:2023 Issue: Volume:31 Page:3524-3534
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Dong Yuanzhe¹,Tang Xi¹,Li Qingge¹,Wang Yingying¹^ORCID,Jiang Naifu¹^ORCID,Tian Lan¹,Zheng Yue¹,Li Xiangxin¹^ORCID,Zhao Shaofeng²,Li Guanglin¹^ORCID,Fang Peng¹^ORCID

Affiliation:

1. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Shenzhen, China

2. Department of Rehabilitation Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Chinese Academy of Sciences (CAS) Youth Innovation Promotion Association

Shenzhen Fundamental Research Program

Futian Healthcare Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject