Automatic Atrial Fibrillation Detection: A Novel Approach Using Discrete Wavelet Transform and Heart Rate Variabilit

Iben H. Bruun, Semira M. S. Hissabu, Erik S. Poulsen, Sadasivan Puthusserypady

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Early detection of Atrial Fibrillation (AF) is crucial in order to prevent acute and chronic cardiac rhythm disorders. In this study, a novel method for robust automatic AF detection (AAFD) is proposed by combining atrial activity (AA) and heart rate variability (HRV), which could potentially be used as a screening tool for patients suspected to have AF. The method includes an automatic peak detection prior to the feature extraction, as well as a noise cancellation technique followed by a bagged tree classification. Simulation studies on the MIT-BIH Atrial Fibrillation database was performed to evaluate the performance of the proposed method. Results from these extensive studies showed very promising results, with an average sensitivity of 96.51%, a specificity of 99.19%, and an overall accuracy of 98.22%
Original languageEnglish
Title of host publicationProceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
Publication date2017
Pages3981-3984
ISBN (Print)978-1-5090-2809-2/
DOIs
Publication statusPublished - 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - International Convention Center, Jeju Island, Jeju, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
LocationInternational Convention Center, Jeju Island
CountryKorea, Republic of
CityJeju
Period11/07/201715/07/2017

Cite this

Bruun, I. H., Hissabu, S. M. S., Poulsen, E. S., & Puthusserypady, S. (2017). Automatic Atrial Fibrillation Detection: A Novel Approach Using Discrete Wavelet Transform and Heart Rate Variabilit. In Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3981-3984). IEEE. https://doi.org/10.1109/EMBC.2017.8037728