An algorithm for atrial premature beat classification with abnormal ECG rhythm analysis.
- Author:
Zheng TANG
1
;
Hang CHEN
Author Information
1. College of Life Sciences, Zhejiang University, Hangzhou.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Arrhythmias, Cardiac;
physiopathology;
Atrial Premature Complexes;
physiopathology;
Electrocardiography;
methods;
Signal Processing, Computer-Assisted
- From:
Chinese Journal of Medical Instrumentation
2008;32(5):313-340
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, an algorithm for atrial premature beat classification with abnormal ECG rhythm analysis is presented. The classification algorithm identifies QRS morphology by template matching and recognizes abnormal ECG rhythm by the features of heart rate and ECG. Algorithm has been evaluated by the MIT-BIH arrhythmia database and the results show that the specificity and the sensitivity for atrial premature beat are 99.5% and 96.9% respectively. atrial premature, arrhythmia, beat classification
