Enhanced time-domain detection of the activation frequency of atrial fibrillation

Rahel Zolei-Szenasi, Gergely Vadai, Robert Pap, Z. Gingl

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

2 Citations (Scopus)

Abstract

Atrial fibrillation is the most common sustained cardiac arrhythmia. To determine the activation frequency of the atrial fibrillation the frequency-domain analysis is used mostly, however it is unreliable in several cases. This insufficiency led to the demand of using time-domain analysis. Although these attempts seemed to be promising, there have remained several limitations. In our research we developed an enhanced algorithm for time-domain analysis. We defined two indicators which characterized the signals and the reliability of the method well. As compared to the frequency-domain analysis our algorithm can widen the applicability of time-domain analysis since in several cases-when the results of the frequency-domain analysis are unreliable-it can be applied still reliably. As a complementation of the frequency-domain analysis our algorithm can be an extremely helpful tool in medical practice.

Original languageEnglish
Title of host publicationSACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
PublisherIEEE Computer Society
Pages349-353
Number of pages5
ISBN (Print)9781479946945
DOIs
Publication statusPublished - 2014
Event9th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2014 - Timisoara
Duration: May 15 2014May 17 2014

Other

Other9th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2014
CityTimisoara
Period5/15/145/17/14

Fingerprint

Frequency domain analysis
Time domain analysis
Chemical activation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Zolei-Szenasi, R., Vadai, G., Pap, R., & Gingl, Z. (2014). Enhanced time-domain detection of the activation frequency of atrial fibrillation. In SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 349-353). [6840091] IEEE Computer Society. https://doi.org/10.1109/SACI.2014.6840091

Enhanced time-domain detection of the activation frequency of atrial fibrillation. / Zolei-Szenasi, Rahel; Vadai, Gergely; Pap, Robert; Gingl, Z.

SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. IEEE Computer Society, 2014. p. 349-353 6840091.

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

Zolei-Szenasi, R, Vadai, G, Pap, R & Gingl, Z 2014, Enhanced time-domain detection of the activation frequency of atrial fibrillation. in SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings., 6840091, IEEE Computer Society, pp. 349-353, 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2014, Timisoara, 5/15/14. https://doi.org/10.1109/SACI.2014.6840091
Zolei-Szenasi R, Vadai G, Pap R, Gingl Z. Enhanced time-domain detection of the activation frequency of atrial fibrillation. In SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. IEEE Computer Society. 2014. p. 349-353. 6840091 https://doi.org/10.1109/SACI.2014.6840091
Zolei-Szenasi, Rahel ; Vadai, Gergely ; Pap, Robert ; Gingl, Z. / Enhanced time-domain detection of the activation frequency of atrial fibrillation. SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings. IEEE Computer Society, 2014. pp. 349-353
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