Detection of premature ventricular contraction and atrial premature contraction based on mode entropy.
- Author:
Jun WU
1
;
Jun WANG
Author Information
1. Image Processing and Image Communications Key Lab., College of Telecommunications & Information Engineering, Nanjing Univ. of Posts & Telecomm., Nanjing 210003, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Atrial Premature Complexes;
diagnosis;
physiopathology;
Diagnosis, Computer-Assisted;
methods;
Electrocardiography;
methods;
Entropy;
Humans;
Signal Processing, Computer-Assisted;
Ventricular Premature Complexes;
diagnosis;
physiopathology
- From:
Journal of Biomedical Engineering
2010;27(3):516-518
- CountryChina
- Language:Chinese
-
Abstract:
Electrocardiogram (ECG) beat classification is essential for timely diagnosis of serious heart disorders. Premature ventricular contraction (PVC) and atrial premature contraction (APC) are serious threats against human lives. In order to cope with difficulties in diagnosis, a mode entropy based technique is herein proposed to classify normal sinus rhythm (NSR), APC and PVC, As is well known that the accuracy of most methods for detecting NSR, APC, PVC, etc is now between 90% to 98%, but most of them need large data sets. After calculation of the mode entropy value of NSR, PVC and APC, the results were analyzed and compared. The detection method based on the mode entropy technique is proven to be rational and accurate, and it does not need large data sets.
