ECG data compression using wavelets

This work aims to apply the discrete biorthogonal wavelet transform and adaptive arithmetic encoding (AAE) for ECG data compression. Using the 9-7 linear phase biorthogonal wavelet and symmetric extension at the signal boundaries, the number pf subband samples required for synthesis becomes the same as the ones of the original data. The encoding EZW algorithm was used represent the generated symbols with a rate close to its entropy. Such method was applied to MIT-BIH Arrhythmia Database (24 Hs, 2 channels of data samples with at 360 Hz with 11 bits) for different compression ratios (CR). Fixing CR to 12:1, the data shape is preserved. The obtained PRD, 3.58±1.56% (mean±standard deviation), indicates the suitability of the method