A Robust System for EMC to ECG Signal Conversion and Analysis Using Advanced Digital Signal Processing Techniques

This paper presents a comprehensive system for converting and analyzing Electromagnetic Cardiac Interference (EMC) signals into high-quality Electrocardiogram (ECG) sig- nals. We introduce a multi-stage approach incorporating advanced preprocessing, adaptive filtering, robust QRS complex detection, and signal quality analysis. The proposed methodol- ogy demonstrates high efficiency in noise and artifact removal while preserving essential cardiac morphological features. Our system achieves a signal-to-noise ratio improvement of up to 20 dB and maintains QRS detection accuracy above 99% in normal conditions. The implemented solution provides automated documentation and quality metrics, making it suitable for both clinical and research applications.