학술논문

Use of a power law scaling relationship to analyze signal averaged ECGs
Document Type
Conference
Source
[1990] Proceedings Computers in Cardiology Computers in Cardiology 1990, Proceedings.. :339-341 1990
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Signal analysis
Electrocardiography
Signal processing
Cardiology
Myocardium
Statistical analysis
Physiology
Algorithm design and analysis
Frequency domain analysis
Feature extraction
Language
Abstract
Signal-averaged electrocardiograms (ECGs) have established themselves as a useful means for the detection of late potentials. Unfortunately debate continues as to the best strategies for their analysis. A method which treats late potentials as part of the inherent noise of the signal is that of power law scaling. It was used retrospectively to analyze signal-averaged ECGs. Significant differences in the scaling exponents for patients with myocardial infarction, regional wall motion abnormality, and dilated cardiomyopathy were demonstrated. These preliminary findings suggest that the entire frequency range of the signal-averaged ECG may contain important clinically useful data.ETX