本文主要介绍一种心电图（ＥＣＧ）数据压缩方法。该方法是将ＥＣＧ数据通过小波变换，在不同的频带上分解为相关性较小的小波变换域系数：然后，针对心电信号的特点，合理取舍变换系数，并进行量化编码，从而实现ＥＣＧ数据压缩。从压缩比（ＣＲ）和均方根误差百分比（ＰＲＤ以及重建前后的ＥＣＧ波形图来看，本方法不失为一种有效的ＥＣＧ数据压缩算法。 This article mainly introduces an electrocardiogram (ECG) data compression method. In this method, the ECG data is decomposed into wavelet transform domain coefficients with small correlation in different frequency bands by wavelet transform. Then, according to the characteristics of the ECG signal, the transform coefficients are properly selected and quantized and encoded to achieve ECG data. compression. From the perspective of compression ratio (CR) and root mean square error (PRD) and ECG waveforms before and after reconstruction, this method is regarded as an effective ECG data compression algorithm.