NDLI: Optimal beat selection study for QSRT cancellation methods in the ECG of atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Alcaraz, R. Rieta, J.J.
Copyright Year	2008
Description	Author affiliation: Innovation in Bioeng. Res. Group, Univ. of Castilla-La Mancha, Cuenca (Alcaraz, R.) \|\| Biomed. Synergy, Valencia Univ. of Technol., Valencia (Rieta, J.J.)
Abstract	The proper analysis and characterization of atrial fibrillation (AF) from surface ECG recordings requires cancelling out ventricular activity (VA), i. e. the QRST complexes. For single-lead ECGs, averaged beat subtraction (ABS) technique is the most widely used. However, this method is very sensitive to QRST wave variations. To date, several strategies have been proposed to overcome this problem, but an exhaustive study about the most suitable set of beats to obtain the most accurate QRST cancellation template, given a concrete recording, has not been performed yet. Thereby, a thorough study about the VA cancellation accuracy, when different complexes are selected to obtain the ventricular template, is presented in this work. The results showed that the most correlation-similar complexes to the one under cancellation provided a more accurate ventricular cancellation template than the preceding and subsequent beats, thus providing a higher AA extraction quality. In addition, a high number of complexes (greater than 30) is not recommended, because the AA extraction quality improvement is reduced. Nevertheless a more accurate VA representation is obtained when the number of complexes used to generate the QRST cancellation template is increased, but remains below 30.
Starting Page	1045
Ending Page	1048
File Size	210721
Page Count	4
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4749224
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Electrocardiography Atrial fibrillation Filtering Signal synthesis Surface morphology Computational modeling Frequency Noise reduction Interference Low pass filters
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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