Multifractal characterization of ECG signals with denoising

被引：0

作者：

Kinsner, W ^{[1
]}

Huang, B ^{[1
]}

Chen, J ^{[1
]}

机构：

[1] Univ Manitoba, Dept Elect & Comp Engn, Signal & Data Compress Lab, Winnipeg, MB R3T 5V6, Canada

来源：

IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2 | 2000年

关键词：

ECG; strange attractors; multifractals; chaos;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a multifractal characterization technique of electrocardiogram (ECG) signals, and reveals the limitations of strange attractor reconstruction from low-rare sampled noisy ECG signals By investigating the convergence of Renyi fractal dimensions [1]. It also shows that denoising may be a useful technique to improve the multifractal analysis of real ECG signals.

引用

页码：145 / 146

页数：2