The increasing prevalence of cardiovascular diseases necessitates efficient long-term ECG monitoring. However, the large volumes of generated data pose transmission and storage challenges. This work presents a realtime signal compression system for ECG designed to address this need while maintaining the diagnostic integrity of ECG data. The system's first stage involves an analog-to-digital conversion (ADC) step. A low-power sample-and-hold circuit captures the ECG signal, followed by precise conversion using a Successive Approximation Register Analog-to-Digital Converter (SAR ADC). Crucially, the traditional comparator within the SAR structure of ADC is replaced with a stacked inverter design. This innovation yields higher gain, improved noise immunity, and reduced power consumption, optimizing the ADC for ECG applications. The second stage employs lossless Golomb coding to compress the digital ECG data. This technique preserves all original information, ensuring no loss of diagnostic detail. Golomb coding's efficiency and computational simplicity make it ideal for real-time ECG systems. This integrated solution addresses the need for compact ECG signal storage and management. Its key contributions lie in the power-optimized ADC design featuring the stacked inverter comparator and the implementation of lossless Golomb coding. The system holds potential for clinical diagnostics, wearable ECG monitoring, and ECG data storage for research.