ECG data compression using wavelet and fractal interpolation

Abstract

This paper represents the data compression for ECG signals using the wavelet and adaptive fractal interpolation method. The method represents any range of ECG signal by fractal interpolation parameters after wavelet transform. The suggested algorithm was evaluate using MIT/BIH database. A high compression ratio (CR) is achieved with a relatively low percent rms difference (PRD).