Data compression and signal recognition of ECG take important role in cardiac computerized analysis.
对它的数据压缩和波形识别及诊断，一直是心电自动分析技术的重点。
Based on the study of ECG signal features, a new lossless ECG compression algorithm is put forward here.
在研究ecg信号特征的基础上，提出了一种新的心电数据无损压缩算法。
The paper reports a kind of new compression method of ECG signal. The method is realized by means of wavelet packets transform based on best basis performed by Shanon Weaker entropy criterion.
给出一种新的心电图压缩方法，该方法是在小波库中通过以信息熵作为代价函数寻找最优基，实现心电图压缩。
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