摘要
提出1种基于Bior4.4双正交小波的ECG信号压缩算法,在频率域上对小波系数进行连续分割,采用自适应的十进制至二进制数据格式转换机制来编码小波系数.从MIT-BIH数据库中选择8种不同的ECG信号作为测试数据,算法的平均均方根误差比(PRD)在0.05%～4.70%之间,平均压缩率(CR)在1.5∶1～33∶1之间.实验结果表明本算法具有压缩率高、计算复杂度低、编码速度快的特点.
It proposes a novel ECG signal compression algorithm, based on biorthogonal wavelet Bior4.4 that can successivey partition the wavelet coefficients in the space frequency domain and encode them using adaptive decimal to binary conversion. This algorithm is tested with 8 different records from MIT-BIH arrhythmia database, an average percent root mean square difference as around 0. 05 % - 4.70 % for an average compression ratio of 1.5：1 to 33：1 obtained. Experimental results show that the proposed algorithm is more efficient in compression, and simpler in implementation and in computation.
出处
《广东工业大学学报》
CAS
2009年第1期44-47,共4页
Journal of Guangdong University of Technology
关键词
ECG信号压缩
小波变换
自适应编码
ECG signal compression
wavelet transformation
adaptive coding
