Detecting myocardial ischemia with 2-D spectrum analysis of VCG signals

Author

Lei, Hao ; Chongxun, Zheng ; Ying, Huang ; Qun, Cai

Author_Institution

Inst. of Biomed. Eng., Xian Jiaotong Univ., China

Volume

16

Issue

4

fYear

1997

Firstpage

33

Lastpage

40

Abstract

Based on the AFFT algorithm, the 2-D spectrum of the VCG signal method was applied in analyzing ECG signals for different extents of myocardial ischemia. Figures and parameters of the 2-D spectrum clearly reflect the vector-changing characteristics of the VCG signals in the 2-D plane and also in the frequency domain. This method remedies defects of the DFT spectrum, which cannot describe vector characteristics of the VCG signal on the 2-D plane. Through analysis of animal experiments, the authors find that the AFFT method is sensitive to change in myocardial blood flow. This method shows promise in the application of detecting early myocardial ischemia and measuring its extent. As a result, it is hoped that this method will significantly reduce patient mortality and morbidity

Keywords

electrocardiography; medical signal processing; muscle; spectral analysis; 2-D plane; 2-D spectrum analysis; VCG signals; animal experiments; early myocardial ischemia; electrodiagnostics; frequency domain; myocardial blood flow changes; myocardial ischemia detection; patient morbidity reduction; patient mortality reduction; vector-changing characteristics; Blood flow; Discrete Fourier transforms; Electrocardiography; Frequency; Ischemic pain; Myocardium; Phase detection; Sampling methods; Signal analysis; Two dimensional displays;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.603646

Filename

603646