ECG signal compression and analysis in long-term monitoring

This paper presents a moment-invariant compression technique for electrocardiogram (ECG) signals, applicable in a long-term (Holter) monitoring and analysis. It focuses on morphological cycle-to-cycle ECG data compression of a normal case. Experimental results show that the technique is suitable for real-time computation. Combined with Shannon-Fano encoding, the compression ratio achieves 21.74:1. The reconstruction error is very low, and performance is less affected by noise.