Elements of signal ECG evaluations with wavelet transform

被引：0

作者：

Cepisca, Costin ^{[1
]}

Banica, Cosmin ^{[1
]}

Ganatsios, Stergios ^{[2
]}

Andrei, Horia ^{[3
]}

Seritan, George Calin ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Elect Engn, 313 Splaiul Independentei,Sector 6, Bucharest, Romania

[2] TEI Kozani, Kozanis, Greece

[3] Univ Valahia Targoviste, Fac Elect Engn, Targoviste, Romania

来源：

PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTATIONAL GEOMETRY AND ARTIFICIAL VISION (ISCGAV'-07) | 2007年

关键词：

ECG; RR series; wavelet transform;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A method for predicting clinically relevant levels of ECG signal will be described. The method makes use of the wavelet transform. Wavelet transform of the signal ECG has been shown to be a nonstationary analysis technique describing the time evolution of frequency spectra throughout the QRS complex. In Wavelet transform, which is applied to the RR time serie (the cardiac period), are three zones of frequency. Behind these zones are the physiological mechanisms. This study estimates quantitatively the spectral power of these three zones and the level of the interactions among these zones.

引用

页码：240 / +

页数：2