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In the realm of System-on-Chip (SoC) applications, the detection of ventricular tachycardia (VT) remains a critical yet unaddressed need. This project presents a novel ECG prediction device designed to fill this gap, leveraging a Second Order Dynamics System (SODS) technique for early VT detection, which promises to enhance patient care by predicting ECG signals at least 4 seconds in advance. The integration of fixed-point format and pipeline architecture into the system significantly improves the accuracy and efficiency of natural frequency extraction from ECG signals. The pipeline architecture reduces clock latency and boosts operational speed, while the fixed-point format enhances the precision of calculations. The commercialization potential of this innovation is substantial, with pipeline architecture offering high throughput for real-time ECG analysis, scalability for handling extensive data, enhanced performance with reduced latency, and a competitive advantage in the healthcare market. The fixed-point format further contributes to cost reduction by eliminating the need for expensive hardware, ensures power efficiency suitable for wearable monitors, and maintains precision and stability in ECG analysis. These advancements not only promise a significant impact on patient outcomes but also offer a lucrative opportunity for market expansion due to the system's affordability and low power consumption. This project stands at the intersection of technological innovation and healthcare, poised to revolutionize the approach to cardiac event prediction and management.