Today: Apr 5, 2025
RU / EN
Last update: Mar 25, 2025
Digital Electrocardiographic Complex for Risk Stratification of Paroxysmal Atrial Fibrillation

Digital Electrocardiographic Complex for Risk Stratification of Paroxysmal Atrial Fibrillation

Frolov A.V., Melnikova O.P., Vorobiev A.P., Vaikhanskaya T.G.
Key words: atrial fibrillation; digital electrocardiography; sinus heart rhythm; heart rate control; “Intecard 8.1”.
2024, volume 16, issue 3, page 43.

Full text

html pdf
542
552

The aim of the study was to develop and clinically test a hardware and software system capable of identifying the predictors of the hidden forms of atrial fibrillation (AF) using 12-lead ECG data in sinus rhythm.

Materials and Methods. There was developed the hardware and software system “Intecard 8.1” to assess a set of markers for atrial electrical instability by 3–5-minute ECG recordings in sinus rhythm. The markers include P-wave amplitude in lead II <0.1 mV, P-wave duration >120 ms, advanced interatrial block, the area of the biphasic P-wave terminal part <–4 mV·ms, and MVP (morphology–voltage–
P-wave duration) score >3 points.

The clinical testing of “Intecard 8.1” system was carried out on 120 patients with ischemic heart disease or dilated cardiomyopathy. The patients’ average age was 57.9±13.1 years.

Results. P-wave detection is a challenging task due to a low signal amplitude, noise, high error probability in atrioventricular block or T-wave and P-wave superposition in case of marked tachycardia. To improve detection, a phase transformation method was used, according to which there was studied its phase component arctg[x(n)/Rv], where x(n) ECG signal samples, Rv a constant. We developed an identification algorithm implemented in “Intecard 8.1” software, its clinical trials being conducted.

During the 12 [6; 22] month observation period, AF episodes were recorded in 22 from 120 patients (18.3%). The patients with AF episodes exhibited a significant decrease in P-wave amplitude (p=0.029), its duration increase (p<0.001), and a significantly high MVP score (p<0.01). The MVP score with a cut-off point >3 points is of the highest prognostic significance. The area under the ROC curve AUC was 0.988 with a 95% confidence interval: 0.975–0.999 (p<0.001). The prediction model of hidden AF paroxysms has sensitivity and specificity: 92 and 89%, respectively.

Conclusion. The digital electrocardiographic complex “Intecard 8.1” when analyzing 3–5-minute ECG recordings with sinus rhythm enables to identify the patients with high risk or with hidden AF forms. The dynamic assessment of P-wave parameters offers an opportunity to personalize heart rhythm control in this patient cohort.


Journal in Databases

pubmed_logo.jpg

web_of_science.jpg

scopus.jpg

crossref.jpg

ebsco.jpg

embase.jpg

ulrich.jpg

cyberleninka.jpg

e-library.jpg

lan.jpg

ajd.jpg

SCImago Journal & Country Rank