Convolutional Autoencoder Network for tACS artifact removal from EEG+tACS mixture
This work has been published in TechRxiv as preprint: the DOI is:
Cite as:
Le Xing , Disi A, Pan Yao, et al. tACSNet: A Novel Deep Convolutional Autoencoder for Transcranial Alternating Current Stimulation Artifact Removal from Concurrent EEG Signal. TechRxiv. February 13, 2026.
DOI: https://doi.org/10.36227/techrxiv.177101039.98229184/v1
Algorithms:
af_artifact_removal: adaptive filtering
sma_artifact_removal: Superposition of Moving Averages (SMA)--- a.k.a "template subtraction"