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Estimation of f-wav...
Estimation of f-wave Dominant Frequency Using a Voting Scheme
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- Biton, Shany (author)
- Technion - Israel Institute of Technology
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- Suleiman, Mahmoud (author)
- Rambam Medical Center
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- Moshe, Noam Ben (author)
- Technion - Israel Institute of Technology
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- Sornmo, Leif (author)
- Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: Teknik för hälsa,LTH profilområden,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,LTH Profile areas,Faculty of Engineering, LTH
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- Behar, Joachim A. (author)
- Technion - Israel Institute of Technology
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(creator_code:org_t)
- 2022
- 2022
- English.
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In: Computing in Cardiology, CinC 2022. - 9798350300970
- Related links:
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.2...
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Abstract
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- Atrial fibrillation (AF) is the most common heart arrhythmia, characterized by the presence of fibrillatory waves (f-waves) in the ECG. We introduce a voting scheme to estimate the dominant atrial frequency (DAF) of f-waves. Methods: We analysed a subset of Holter recordings obtained from the University of Virginia AF Database. 100 Holter recordings with manually annotated AF events, resulting in a total 363 AF events lasting more than 1 min. The f-waves were extracted using four different template subtraction (TS) algorithms and the DAF was estimated from the first 1-min window of each AF event. A random forest classifier was used. We hypothesized that better extraction of the f-wave meant better AF/non-AF classification using the DAF as the single input feature of the RF model. Results: Performance on the test set, expressed in terms of AF/non-AF classification, was the best when the DAF was computed computed the three best-performing extraction methods. Using these three algorithms in a voting scheme, the classifier obtained AUC=0.60 and the DAFs were mostly spread around 6 Hz, 5.66 (4.83-7.47). Conclusions: This study has two novel contributions: (1) a method for assessing the performance of f-wave extraction algorithms, and (2) a voting scheme for improved DAF estimation.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
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- kon (subject category)
- ref (subject category)
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