The Masking Impact of Intra-Artifacts in EEG on Deep Learning-Based Sleep Staging Systems: A Comparative Study

• Main Authors: Hangyu Zhu (Author), Yonglin Wu (Author), Ning Shen (Author), Jiahao Fan (Author), Linkai Tao (Author), Cong Fu (Author), Huan Yu (Author), Feng Wan (Author), Sio Hang Pun (Author), Chen Chen (Author), Wei Chen (Author)
• Format: Book
• Published: IEEE, 2022-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Elimination of intra-artifacts in EEG has been overlooked in most of the existing sleep staging systems, especially in deep learning-based approaches. Whether intra-artifacts, originated from the eye movement, chin muscle firing, or heart beating, etc., in EEG signals would lead to a positive or a n...