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You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation by Chen, Hongyu; Zeng, Weiming; Cai, Luhui; Wang, Lei; Lu, Jia; Li, Yueyang; Yan, Hongjie; Siok, Wai Ting; Wang, Nizhuan is a scholarly article available to read on EtoBox.

What is You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation about?

High-precision acquisition of dense-channel electroencephalogram (EEG) signals is often impeded by the costliness and lack of portability of equipment. In contrast, generating dense-channel EEG signals effectively from sparse channels shows promise and economic viability. However, sparse-channel EEG poses challenges such as reduced spatial resolution, information loss, signal mixing, and heightened susceptibility to noise and interference. To address these challenges, we first theoretically formulate the dense-channel EEG generation problem as by optimizing a set of cross-channel EEG signal generation problems. Then, we propose the YOAS framework for generating dense-channel data from sparse-channel EEG signals. The YOAS totally consists of four sequential stages: Data Preparation, Data Preprocessing, Biased-EEG Generation, and Synthetic EEG Generation. Data Preparation and Preprocessing carefully consider the distribution of EEG electrodes and low signal-to-noise ratio problem of EEG signals. Biased-EEG Generation includes sub-modules of BiasEEGGanFormer and BiasEEGDiffFormer, which facilitate long-term feature extraction with attention and generate signals by combining electrode

Author

Chen, Hongyu; Zeng, Weiming; Cai, Luhui; Wang, Lei; Lu, Jia; Li, Yueyang; Yan, Hongjie; Siok, Wai Ting; Wang, Nizhuan

Published

2024

Language

EN