NDLI: Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering

Content Provider	IEEE Xplore Digital Library
Author	Castro-Ospina, A.E. Castro-Hoyos, C. Peluffo-Ordonez, D. Castellanos-Dominguez, G.
Copyright Year	2013
Description	Author affiliation: Signal Process. & Recognition Group, Univ. Nac. de Colombia, Manizales, Colombia (Castro-Ospina, A.E.; Castro-Hoyos, C.; Peluffo-Ordonez, D.; Castellanos-Dominguez, G.)
Abstract	Processing of the long-term ECG Holter recordings for accurate arrhythmia detection is a problem that has been addressed in several approaches. However, there is not an outright method for heartbeat classification able to handle problems such as the large amount of data and highly unbalanced classes. This work introduces a heuristic-search-based clustering to discriminate among ventricular cardiac arrhythmias in Holter recordings. The proposed method is posed under the normalized cut criterion, which iteratively seeks for the nodes to be grouped into the same cluster. Searching procedure is carried out in accordance to the introduced maximum similarity value. Since our approach is unsupervised, a procedure for setting the initial algorithm parameters is proposed by fixing the initial nodes using a kernel density estimator. Results are obtained from MIT/BIH arrhythmia database providing heartbeat labelling. As a result, proposed heuristic-search-based clustering shows an adequate performance, even in the presence of strong unbalanced classes.
Starting Page	7076
Ending Page	7079
File Size	411947
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart beat Electrocardiography Clustering algorithms Kernel Indexes Clustering methods normalized cut clustering Cardiac arrhythmia heuristic search kernel density estimator
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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