Single-channel EEG completion using Cascade Transformer
C Zhang, S Han, M Zhang - 2022 IEEE Biomedical Circuits and …, 2022 - ieeexplore.ieee.org
C Zhang, S Han, M Zhang
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022•ieeexplore.ieee.orgIt 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-ofthe-art multi-channel completion …
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-ofthe-art multi-channel completion …
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-ofthe-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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