应用时变小波包零树编码实现心电数据的高效压缩  

High Efficiency Compression of Electrocardiogram Data Based on Time-Varying Zerotree Wavelet Packet Coding

作　　者：周仲兴[1] 张永伟[1] 万柏坤[1] 张力新[1] 明东[1] 李轶[1] 程龙龙[1] 

机构地区：[1]天津大学精密仪器与光电子工程学院,天津300072

出　　处：《天津大学学报》2007年第2期210-215,共6页Journal of Tianjin University(Science and Technology)

基　　金：天津市重点学科建设基金资助项目(津教委高2000-31)

摘　　要：为减少传统小波零树编码算法中孤立零的出现,以确保编码压缩后信号的熵减,提出了时变小波包零树编码算法,构建了最优小波包基下低冗余映射关系,同时考虑到心电信号自身的时域相关性,将时频域结合考虑,进一步降低了信息熵,最终明显改善了压缩效果.实验结果表明,该方法保留了小波零树编码可以实现累进传输编码的优点,并且取得了更好的压缩性能.During the process of tele electrocardiogram monitoring, efficient data compression has become an important link of data processing under the demands of mass data storing and transmitting. To achieve this aim, a data compression method is proposed based on time-varying zerotree wavelet packet coding, which can improve the isolational zeros of traditional zerotree wavelet ceding and realize the further decrease of the information entropy. Correspondingly, a low redundancy mapping is constructed under optimum basis of wavelet packet, and the self-similarity in time domain is also considered to decrease the information entropy, which gives the obvious improvements to the final compression results. The experiments show that this new method reserves the merit of zerotree wavelet coding on progression-transmission, and can obtain the better results in data compression.

关 键 词：小波包零树编码 时变小波包 最优小波包基 心电信号 数据压缩 

分 类 号：R318.04[医药卫生—生物医学工程]