心电图压缩算法中的小波基选择  

The Choice of Wavelet in Electrocardiogram Compression Algorithm

作　　者：练秋生[1] 王成儒[1] 孔令富 

机构地区：[1]燕山大学信息工程学院通讯与电子工程系,秦皇岛066004

出　　处：《计算机工程与应用》2002年第18期6-8,共3页Computer Engineering and Applications

基　　金：河北省博士基金资助项目(编号:B2001218)

摘　　要：文章研究心电图压缩算法中的小波基选择。算法中采用整-整小波进行小波变换,用小波零树嵌入编码和自适应算术编码对心电图压缩。小波库由9种小波基组成。用MIT-BIH心率数据库的样本数据对提出的算法进行测试,结果表明,在压缩过程中对每段心电图选取最优小波基能显著地降低信号失真度。Studied in the paper is associated with the choice of wavelet in electrocardiogram compression.It includes integer-to-integer wavelet transform,zero-tree coding and adaptive arithmetic coding.The wavelet library is composed by nine integer-to-integer wavelets.The MIT-BIH arrhythmia database is used to test the algorithm.The experiment re-sults show that people can reduce the signal distortion by selecting optimal wavelet for each segment electrocardiogram in compression algorithm.

关 键 词：心电图 压缩算法 小波基选择 整-整小波变换 零树编码 临床诊断 

分 类 号：R540.41[医药卫生—心血管疾病] TN919.81[医药卫生—内科学]