Next Article in Journal
Practical Considerations in the Implementation of Collaborative Beamforming on Wireless Sensor Networks
Previous Article in Journal
Customization of UWB 3D-RTLS Based on the New Uncertainty Model of the AoA Ranging Technique
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(2), 234;

Set-Based Discriminative Measure for Electrocardiogram Beat Classification

1,* , 1,2
School of Instrument Science and Engineering, Southeast University, 2 Sipailou, Nanjing 210096, China
School of Basic Medical Sciences, Nanjing Medical University, 101 Longmian Avenue, Nanjing 211166, China
Author to whom correspondence should be addressed.
Academic Editor: Subhas Chandra Mukhopadhyay
Received: 2 December 2016 / Revised: 10 January 2017 / Accepted: 16 January 2017 / Published: 25 January 2017
(This article belongs to the Section State-of-the-Art Sensors Technologies)
Full-Text   |   PDF [788 KB, uploaded 25 January 2017]   |  


Computer aided diagnosis systems can help to reduce the high mortality rate among cardiac patients. Automatical classification of electrocardiogram (ECG) beats plays an important role in such systems, but this issue is challenging because of the complexities of ECG signals. In literature, feature designing has been broadly-studied. However, such methodology is inevitably limited by the heuristics of hand-crafting process and the challenge of signals themselves. To address it, we treat the problem of ECG beat classification from the metric and measurement perspective. We propose a novel approach, named “Set-Based Discriminative Measure”, which first learns a discriminative metric space to ensure that intra-class distances are smaller than inter-class distances for ECG features in a global way, and then measures a new set-based dissimilarity in such learned space to cope with the local variation of samples. Experimental results have demonstrated the advantage of this approach in terms of effectiveness, robustness, and flexibility based on ECG beats from the MIT-BIH Arrhythmia Database. View Full-Text
Keywords: ECG beat classification; set-based discriminative measure; metric space; set-based dissimilarity ECG beat classification; set-based discriminative measure; metric space; set-based dissimilarity

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Li, W.; Li, J.; Qin, Q. Set-Based Discriminative Measure for Electrocardiogram Beat Classification. Sensors 2017, 17, 234.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top