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。
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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