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1
Prediction of Scalp EEG Waveforms from Forehead Electrodes ..:
, In:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Yamawaki, Kazuki
;
Watanabe, Hiroki
;
Naruse, Yasushi
- p. 382-387 , 2022
Link:
https://doi.org/10.1109/MetroXRAINE54828.2022.9967638
RT T1 <cTitle>2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>Prediction of Scalp EEG Waveforms from Forehead Electrodes Using Convolutional Neural Networks to Improve Signal-to-Noise Ratio</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9967638&Exemplar=1&LAN=DE A1 Yamawaki, Kazuki A1 Watanabe, Hiroki A1 Naruse, Yasushi YR 2022 K1 Electrodes K1 Electric potential K1 Forehead K1 Scalp K1 Measurement uncertainty K1 Electroencephalography K1 Time measurement K1 electroencephalogram (EEG) K1 convolutional neural networks K1 forehead EEG K1 mismatch negativity (MMN) K1 event-related potential (ERP) SP 382 OP 387 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE54828.2022.9967638 DO https://doi.org/10.1109/MetroXRAINE54828.2022.9967638 SF ELIB - SuUB Bremen
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