J. A. Medrano Hermosillo

Denoising of EEG Signals in BrainComputer Interfaces Using Extended Kalman-Filtered Recurrent High-Order Neural Networks

This paper presents a Recurrent High-Order Neural Network (RHONN) for EEG denoising in brain-computer interface (BCI) applications. Trained online using the Extended Kalman Filter (EKF), the proposed approach effectively suppresses EOG, EMG, and ECG artifacts under non-stationary conditions while preserving EEG tempora...