Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm

被引：356
|
作者：
Lu, ZT
Kim, DY
Pearlman, WA [1 ]
机构：
[1] Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY 12180 USA
[2] Yonsei Univ, Inst Med Engn, Dept Biomed Engn & Res, Wonju, South Korea
来源：
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2000年 / 47卷 / 07期
关键词：
ECG signal compression; portable heart monitoring; wavelet signal processing;
D O I：
10.1109/10.846678
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed in this paper. The SPIHT algorithm [1] has achieved notable success in still image coding. We modified the algorithm for the one-dimensional case and applied it to compression of ECG data. Experiments on selected records from the MIT-BIH arrhythmia database revealed that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes. The coder also attains exact bit rate control and generates a bit stream progressive in quality or rate.
引用
收藏
页码：849 / 856
页数：8
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