This chapter presents a comprehensive system-level modeling of an implanted wireless system with features including a wireless power and data transmission system and a closed-loop epileptic seizure detection and suppression device tailored for low-power implantable applications. The modeling process is executed utilizing the MATLAB Simulink software. The primary objective is to develop a robust system-level model that covers power delivery and control mechanisms, thermal dissipation and control strategies, as well as data transfer functionalities. This model serves as the foundation for the subsequent development of system and block-level specifications, post-integration of modules dedicated to power, temperature, and data aspects. The block diagram and overview of the proposed system are also presented. The system utilizes a single inductive link for power transmission and bidirectional data communication, integrated with a monitoring unit. It records high-resolution intracranial EEG (iEEG) signals via multiple electrode channels. The recorded signals are processed in the analog domain and subsequently fed into a digital signal processing block to extract five time-domain features for seizure onset detection, based on datasets from Inselspital Bern. Once a seizure is detected, a current-mode multi-channel electrical stimulator is activated, delivering electrical pulses to the brain as a therapeutic response.