PNA decomposes MEG recordings via ICA, isolates artifact components using EOG/ECG references, and re-injects scaled artifacts into clean data to train decoders that are invariant to physiological noise, improving imagined-digit classification by 4.7 percentage points with EEGNet.
Imagined speech can be decoded from low-and cross-frequency intracranial eeg features.Nature communications, 13 (1):48, 2022
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Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech
PNA decomposes MEG recordings via ICA, isolates artifact components using EOG/ECG references, and re-injects scaled artifacts into clean data to train decoders that are invariant to physiological noise, improving imagined-digit classification by 4.7 percentage points with EEGNet.