Adaptive ECG Signal Compression Algorithm Based on Biorthogonal Wavelets

Zou Yu-hua; Luo De-han; Zhuang Jia-jun

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Adaptive ECG Signal Compression Algorithm Based on Biorthogonal Wavelets

更新时间：2026-05-27

- Adaptive ECG Signal Compression Algorithm Based on Biorthogonal Wavelets
- Vol. 26, Issue 1, Pages: 18(2009)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：01 January 2009，
  
  Published：2009
- 稿件说明：
移动端阅览
邹宇华, 骆德汉, 庄家俊. 基于双正交小波的ECG信号自适应压缩编码算法[J]. 广东工业大学学报, 2009, 26(1): 18.

Zou Yu-hua, Luo De-han, Zhuang Jia-jun. Adaptive ECG Signal Compression Algorithm Based on Biorthogonal Wavelets[J]. 2009, 26(1): 18.
邹宇华, 骆德汉, 庄家俊. 基于双正交小波的ECG信号自适应压缩编码算法[J]. 广东工业大学学报, 2009, 26(1): 18. DOI：

Zou Yu-hua, Luo De-han, Zhuang Jia-jun. Adaptive ECG Signal Compression Algorithm Based on Biorthogonal Wavelets[J]. 2009, 26(1): 18. DOI：

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.

Abstract

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 algor...

关键词

Keywords

references

骆德汉,许广桂,邹宇华,H.Gholam Hosseini. 基于多阶人工神经网络的ECG信号诊断模型研究[J]. 仪器仪表学报. 2008(01)

郑凯梅,余生晨. 基于小波变换的心电信号准无损压缩算法[J]. 山东生物医学工程. 2003(02)

李刚,刘蓉,林凌. 一种基于复合编码的心电数据压缩算法[J]. 中国生物医学工程学报. 2002(06)

张浙亮,吕维雪. 基于混合神经网络的ECG数据压缩[J]. 浙江大学学报(工学版). 2000(01)

王培康,沈凤麟. 用DCT压缩ECG数据的新方法[J]. 中国生物医学工程学报. 1995(04)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

The Design and Implementation of the Noise Suppression Algorithm with Wavelet Transformation for EEG Signals

Printed Circuit Board Image Mosaics Based on Wavelet Transformation

Hidden and Embedded Watermarking Algorithm for Digital Audio Signals

The Parameters Location of Meter Dial Plate Based on Wavelet Decomposition and Mathematical Morphology

One Method of Vector Classifying Based on the Direction of Wavelet Coefficients

Related Author

FENG Yan

DU Yu-Xiao

HUANG Feng-Hua

Luo Bing

Zhang Yun

ZENG Xin-yi

JI Xiu-xia

Wen Jie-chang

Related Institution

No data

AI问答

⁰