Closed-Loop Seizure Detection and Suppression via Model-Free Control and Algebraic Differentiation in a Noisy Environment

This work proposes a closed-loop framework for detecting and suppressing epileptiform seizures using model-free control techniques and time-domain signal processing methods, which are robust to noise and do not require precise mathematical modeling.