Clustering and visualization of ECG signals

Anikó Vágner, László Farkas, I. Juhász

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Holter electrocardiographic (ECG) recordings are ambulatory long-term registers that are used to detect heart diseases. These recordings normally include more than one channel and their durations are up to 24 hours. The principal problem of the cardiologists is the manual inspection of the whole Holter ECG in order to find all those beats which morphologically differ from the normal beats. In this paper we present our method. Firstly, we apply a grid clustering technique. Secondly, we use a special density-based clustering algorithm, named Optics. Then we visualize every heart beat in the record, heartbeats in a cluster, furthermore we represent every cluster with median of heartbeats. We can perform manual. With this method the ECG is easily analyzed and the time of processing is optimized.

Original languageEnglish
Title of host publication3rd International Conference on Software, Services and Semantic Technologies, S3T 2011
PublisherSpringer Verlag
Pages47-51
Number of pages5
Volume101
ISBN (Print)9783642231629
Publication statusPublished - 2011
Event3rd International Conference on Software, Services and Semantic Technologies, S3T 2011 - Bourgas, Bulgaria
Duration: Sep 1 2011Sep 3 2011

Publication series

NameAdvances in Intelligent and Soft Computing
Volume101
ISSN (Print)18675662
ISSN (Electronic)18600794

Other

Other3rd International Conference on Software, Services and Semantic Technologies, S3T 2011
CountryBulgaria
CityBourgas
Period9/1/119/3/11

Fingerprint

Visualization
Clustering algorithms
Optics
Inspection
Processing

Keywords

  • Clustering
  • ECG signals
  • Visualization

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Vágner, A., Farkas, L., & Juhász, I. (2011). Clustering and visualization of ECG signals. In 3rd International Conference on Software, Services and Semantic Technologies, S3T 2011 (Vol. 101, pp. 47-51). (Advances in Intelligent and Soft Computing; Vol. 101). Springer Verlag.

Clustering and visualization of ECG signals. / Vágner, Anikó; Farkas, László; Juhász, I.

3rd International Conference on Software, Services and Semantic Technologies, S3T 2011. Vol. 101 Springer Verlag, 2011. p. 47-51 (Advances in Intelligent and Soft Computing; Vol. 101).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Vágner, A, Farkas, L & Juhász, I 2011, Clustering and visualization of ECG signals. in 3rd International Conference on Software, Services and Semantic Technologies, S3T 2011. vol. 101, Advances in Intelligent and Soft Computing, vol. 101, Springer Verlag, pp. 47-51, 3rd International Conference on Software, Services and Semantic Technologies, S3T 2011, Bourgas, Bulgaria, 9/1/11.
Vágner A, Farkas L, Juhász I. Clustering and visualization of ECG signals. In 3rd International Conference on Software, Services and Semantic Technologies, S3T 2011. Vol. 101. Springer Verlag. 2011. p. 47-51. (Advances in Intelligent and Soft Computing).
Vágner, Anikó ; Farkas, László ; Juhász, I. / Clustering and visualization of ECG signals. 3rd International Conference on Software, Services and Semantic Technologies, S3T 2011. Vol. 101 Springer Verlag, 2011. pp. 47-51 (Advances in Intelligent and Soft Computing).
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