Effect of Bézier Interpolation on Similarity of Heartbeats in Electrocardiograms
Journal
2022 30th Telecommunications Forum (TELFOR)
Date Issued
2022-11-15
Author(s)
Tonkovikj, Lucija
Petrovski, Nikola
DOI
10.1109/telfor56187.2022.9983678
Abstract
Sampling frequency and bit resolution impact the presentation of heartbeats in electrocardiograms. One of the most challenging tasks in automated medical interpretation is the determination of the heartbeat type, whether the beat was initiated by a normal sequence, or by the ventricle. The usual way to detect the beat class is to analyze the morphological features including shape, width and height of the heartbeat. In this paper, we tackle this problem by checking the similarity of the heartbeats and set a research hypothesis that Bézier interpolation can improve the correctness of the similarity check. We found that the similarity check of two heartbeats can be improved a lot by using Bézier interpolation on the samples around the detected peak.