In this paper

an ECG data compression method based on 2-D DCT transform has been proposed

which utilizes the fact that ECG signals have two types of redundancies—between adjacent samples and between adjacent heartbeats. Furthermore

the technology of the data realignment and the subsection encoding are proposed so as to speed up the coding rate. When the percent root-mean-square difference(PRD) is about 4.5

this method can get the coding rate of 10∶1 to 20∶1 and the computing complexity of 2.75 multiplicative operations and 7.25 additive operations per sample by the expemiment on MIT-BIHarrhythmia database data. This method can improve almost one time above the 2-D DCT method of H.Lee' s. And its coding rate is almost the same with the discrete wavelet method in M.Hilton and Z.Lu' s paper

but the calculator is much less.The compare indicates this method is a low-complexity and high-coding-rate method among the current ECG data compression methods.