Single-channel EEG completion using Cascade Transformer

Chao Zhang; Siqi Han; Milin Zhang

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arXiv · 2211.08645

Single-channel EEG completion using Cascade Transformer

Chao Zhang·Siqi Han·Milin Zhang

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Abstract

It is easy for the electroencephalogram (EEG) signal to be incomplete due to packet loss, electrode falling off, etc. This paper proposed a Cascade Transformer architecture and a loss weighting method for the single-channel EEG completion, which reduced the Normalized Root Mean Square Error (NRMSE) by 2.8% and 8.5%, respectively. With the percentage of the missing points ranging from 1% to 50%, the proposed method achieved a NRMSE from 0.026 to 0.063, which aligned with the state-of-the-art multi-channel completion solution. The proposed work shows it's feasible to perform the EEG completion with only single-channel EEG.

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BibTeX RIS

Chao Zhang, Siqi Han, Milin Zhang. 2022-11-16. Single-channel EEG completion using Cascade Transformer. https://arxiv.org/abs/2211.08645

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