International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Detecting Atrial Fibrillation Persistence Using F-Wave Frequency Ratio with QRST Cancellation via Principal Component Analysis

Wameedh Raad FathelMinistry of Education, General Directorate of Education in Nineveh, Iraq

Vol 7 No 6 (2023): Volume 7, Issue 6, June 2023 | Pages: 224-229

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-06-2023

doi Logo doi.org/10.47001/IRJIET/2023.706008

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Abstract

Atrial fibrillation (AF) is a type of arrhythmia that causes the atria to beat irregularly, which can occur intermittently or persist over time. AF can be detected by the presence of F-waves in electrocardiogram (ECG) signals, which can be extracted using QRST cancellation. Principal component analysis (PCA) can be used to isolate ventricular activity from the ECG signal. To assess AF beat by beat, one can utilize the F-wave frequency ratio (FWFR), which is the proportion of the spectral area in the 4-10 Hz frequency range to the overall spectral area. In this study, the FWFR was used to determine AF episodes, and the results showed that in Normal (N),  conditions, the FWFR was 45% [43-46%], while in Persistent Atrial fibrillation (PAF) conditions, it was 53% [52-54%], and in non-Persistent Atrial fibrillation (nPAF) conditions, it was 45% [39-48%]. The study suggests that QRST cancellation using PCA and FWFR can be used to quantitatively and qualitatively estimate AF, as well as differentiate between normal, persistent AF, and non-persistent AF conditions.

Keywords

Atrial Fibrillation, AF, F-Wave, Frequency Ratio, QRST, Principal Component Analysis


Citation of this Article

Wameedh Raad Fathel, “Detecting Atrial Fibrillation Persistence Using F-Wave Frequency Ratio with QRST Cancellation via Principal Component Analysis” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 6, pp 224-229, June 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.706008

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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