Wavelet detection of continuous heart rate in elderly patients with some types of arrhythmias

Abstract

Regular monitoring and detailed analysis of electrocardiogram (ECG) signals contribute to more accurate diagnosis, effective control and prevention of many cardiovascular (CV) diseases. Development and improvement of methods for monitoring physiological signals of the CV system is an urgent interdisciplinary task. The main physiological parameters used to assess the state of the CV system remain heart rate (HR).
The traditional method of analyzing HR is to extract from ECG records the time of occurrence of the highest point R in the QRS complex on ECG. Currently, a significant number of algorithms have been developed to determine the location of the QRS complex and determine the condition of patients, cardiac activity and arrhythmia. In the case of CV disorders, the R-wave can be deformed, changing its expression and shape from cycle to cycle of heart contraction, which complicates the use of the classical approach to the HR analysis. The report presents a method for continuous HR assessment based on oscillatory patterns of continuous wavelet transform (CWT). Using the publicly available MIT-BIH Arrhythmia Database [Moody G.B., Mark R.G. (2001) 20(3), 45] testing (1) the sensitivity in detecting cardiac arrhythmias, (2) stability in the presence of artifacts was carried out. Optimal sensitivity and stability of this technique is achieved when assessing the second and third harmonics of the main cardiac rhythm on the frequency-time CVT surface.
The work was carried out within the framework of the state assignment of the Ministry of Health of the Russian Federation No 056-03-2025-083 dated 21.01.2025

Speaker

Elizaveta P. Emelyanova
Saratov State Medical University, Saratov
Russia

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