Detecting atrial fibrillation and normal sinus rhythm by R-R intervals.
- Author:
Hongwei LU
1
Author Information
1. College of Medical Instrument and Food, University of Shanghai for Science and Technology, Shanghai 200093, China. hongweilu_jack@hotmail.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Atrial Fibrillation;
diagnosis;
physiopathology;
Diagnosis, Differential;
Electrocardiography;
Humans;
Signal Processing, Computer-Assisted;
Sinoatrial Node;
physiopathology
- From:
Journal of Biomedical Engineering
2010;27(1):183-187
- CountryChina
- Language:Chinese
-
Abstract:
This paper aims to find a new method of detecting atrial fibrillation (AF) with fast responding speed and high detecting precision by R-R intervals. Probability density function (PDF) of distance between two points in the reconstructed phase space of R-R intervals of normal sinus rhythm (NSR) and AF is studied. It is found that the distribution of PDF between NSR and AF R-R intervals is significantly different; and based on this finding, a characteristic parameter k is defined. k is used for defection among 400 NSR and 400 AF R-R intervals. The results demonstrate that the new algorithm has fast responding speed and high detecting precision (average sensitivity 97.0%, average specificity 95.2%).
