NeuroscienceHumansArtifactsTranscranial Direct Current StimulationDeep LearningElectroencephalography
A deep learning approach to artifact removal in Transcranial Electrical Stimulation: From shallow methods to deep neural networks and state space models.
Miguel Fernandez-de-Retana, Pablo Matanzas-de-Luis, Javier Peña, Aitor Almeida
Published: 202510.1016/j.neuroscience.2025.10.004
Abstract
Transcranial Electrical Stimulation (tES) is a non-invasive neuromodulation technique that generates artifacts in simultaneous EEG recordings, hindering brain activity analysis. This study analyzes Machine Learning (ML) methods for tES noise artifact…
Preview only. Read the full abstract at the source