母小波选择方法选择性映射心电压缩技术

Y. Chompusri, K. Dejhan, S. Yimman
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引用次数: 13

摘要

本研究提出的心电图压缩方法是对原始信号与参考信号之差的残差信号进行处理。将残差信号变换到小波域,然后在小波域剔除冗余信息。母小波的选取是保证重要数据在小波域中保持的主要因素之一。母小波的不同类型有其自身的形状和特点。因此,这对压缩性能有影响。利用不同类型的母小波,比较了不同压缩算法的压缩效率。实验表明,无母小波对所有心电图都是最好的。为了减少选择合适母小波的时间,引入了四优法。该算法使用四种类型的母小波作为竞争对手,' db1', ' db2', ' db9'和' bior2.4'。结果表明,所选择的母小波类型对整体测试信号具有良好的性能。此外,“db1”母小波对一半以上的信号具有最佳性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mother wavelet selecting method for selective mapping technique ECG compression
The electrocardiogram compression method presented in this research processes the residual signal which is the difference between the original signal and the reference signal. The residual signal is transformed to wavelet domain and then the redundant information is eliminated in wavelet domain. The selection of mother wavelet is one of main factor to maintain the important data in wavelet domain. The difference type of mother wavelet has its own shape and its own characteristic. Therefore this affects to the performance of compression. This work compares the efficiency of compression algorithm by using difference type of Mother Wavelet. The test shows that no mother wavelet which is the best for all ECG. Thereby, reducing the time consuming for selection the proper mother wavelet, the Best of Four Method is introduced. This algorithm uses four types of mother wavelet to be competitors, `db1', `db2', `db9' and `bior2.4'. The result shows that the selected mother wavelet types have the good performance on overall tested signals. Moreover, the `db1' mother wavelet has the best performance on more than a half of all signals.
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