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Heartbeat Classification Using Normalized RR Intervals and Morphological Features
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This study developed an automatic heartbeat classification system for identifying normal beats, supraventricular ectopic beats, and ventricular ectopic beats based on normalized RR intervals and morphological features.
The proposed heartbeat classification system consists of signal preprocessing, feature extraction, and linear discriminant classification.
First, the signal preprocessing removed the high-frequency noise and baseline drift of the original ECG signal.
Then the feature extraction derived the normalized RR intervals and two types of morphological features using wavelet analysis and linear prediction modeling.
Finally, the linear discriminant classifier combined the extracted features to classify heartbeats.
A total of 99,827 heartbeats obtained from the MIT-BIH Arrhythmia Database were divided into three datasets for the training and testing of the optimized heartbeat classification system.
The study results demonstrate that the use of the normalized RR interval features greatly improves the positive predictive accuracy of identifying the normal heartbeats and the sensitivity for identifying the supraventricular ectopic heartbeats in comparison with the use of the nonnormalized RR interval features.
In addition, the combination of the wavelet and linear prediction morphological features has higher global performance than only using the wavelet features or the linear prediction features.
American Psychological Association (APA)
Lin, Chun-Cheng& Yang, Chun-Min. 2014. Heartbeat Classification Using Normalized RR Intervals and Morphological Features. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-492532
Modern Language Association (MLA)
Lin, Chun-Cheng& Yang, Chun-Min. Heartbeat Classification Using Normalized RR Intervals and Morphological Features. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-492532
American Medical Association (AMA)
Lin, Chun-Cheng& Yang, Chun-Min. Heartbeat Classification Using Normalized RR Intervals and Morphological Features. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-492532
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492532