Computational Method for Continuous Monitoring of Ocular Artifacts in Electroencephalography Data
This work presents a computational method for detecting ocular artifacts in EEG/EOG signals, focusing on Brain-Computer Interfaces and Assistive Technologies. The system uses an Arduino Nano and AD8232 module for real-time acquisition and processing, implementing an algorithm based on voltage thresholds and signal deri...