NDLI: Clustering ECG heartbeat using improved semi-supervised affinity propagation

Content Provider	IET Digital Library
Author	Wang, Ludi Zhou, Xiaoguang Xing, Ying Yang, Mengke Zhang, Chi
Abstract	The electrocardiogram (ECG) has become an important tool for the diagnosis of cardiovascular diseases. As long-term ECG recordings become more common, driven partly by the development of intelligent hardware, the requirement for automatic ECG analysis continues to grow. Research has attempted to use the expert knowledge to optimise ECG-related algorithms, however, visual analysis of long-term ECG is tedious and operator dependent. In previous studies, an ECG beat clustering approach based on self-organising maps has been applied to reduce the amount of time the operator must to spend. This unsupervised approach partitions the ECG beats into 25 groups, however, the cluster number (25) does not accurately reflect the actual number of categories. In this study, an integrated method is presented for the clustering of ECG beats based on an improved semi-supervised affinity propagation algorithm with independent component analysis. Using the MIT-BIH arrhythmia database, the authors find that the resulting clusters to exhibit a high degree of precision. The integrated method outperforms other conventional methods in the MIT-BIH database, and has great theoretical and practical significance in the field of cardiac disease.
Starting Page	207
Ending Page	213
Page Count	7
ISSN	17518806
Volume Number	11
e-ISSN	17518814
Issue Number	Issue 5, Oct (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-sen/11/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-sen.2016.0261
Journal	IET Software
Publisher Date	2017-06-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automatic ECG Analysis Bioelectric Signal Biology And Medical Computing Cardiovascular Disease Diagnosis Cardiovascular System Digital Signal Processing Diseases ECG Heartbeat Clustering ECG Recordings ECG-related Algorithm Optimisation Electrical Activity in Neurophysiological Processes Electrocardiogram Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Improved Semisupervised Affinity Propagation Independent Component Analysis Integrated Method Knowledge Engineering Technique Medical Signal Processing MIT-BIH Arrhythmia Database Pattern Clustering Signal Processing And Detection Unsupervised Learning Visual Analysis
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

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