An Approach for EEG Denoising Based on Wasserstein Generative Adversarial Network
Electroencephalogram (EEG) recordings often contain artifacts that would lower signal quality. Many efforts have been made to eliminate or at least minimize the artifacts, and most of them rely on visual inspection and manual operations, which is time/labor-consuming, subjective, and incompatible to...
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Main Authors: | Yuanzhe Dong (Author), Xi Tang (Author), Qingge Li (Author), Yingying Wang (Author), Naifu Jiang (Author), Lan Tian (Author), Yue Zheng (Author), Xiangxin Li (Author), Shaofeng Zhao (Author), Guanglin Li (Author), Peng Fang (Author) |
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Format: | Book |
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IEEE,
2023-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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