M. A. Elfouly

This paper develops a delayed Van der Pol model and signal-processing pipeline to detect early Parkinson's disease by analyzing transient beta frequencies in motor circuits.

This paper models Parkinson's disease symptoms using a delayed van der Pol oscillator to show how feedback delays and saturation lead to motor dysfunction and resonance.

This study combines nanomaterials with deep brain stimulation (DBS) using a Van der Pol delay model to improve basal ganglia oscillations and reduce pathological activity.