Digital Electrocardiographic Complex for Risk Stratification of Paroxysmal Atrial Fibrillation

• Published in: Sovremennye tekhnologii v medit͡s︡ine 2024-01, Vol.16 (3), p.43-48
• Main Authors: Frolov, A V, Melnikova, O P, Vorobiev, A P, Vaikhanskaya, T G
• Format: Article
• Language: English
• Subjects: Adult; Aged; Atrial Fibrillation - diagnosis; Atrial Fibrillation - physiopathology; Clinical Supplements; Electrocardiography - methods; Female; Humans; Male; Middle Aged; Risk Assessment - methods; Software
• ISSN: 2076-4243; 2309-995X; 2309-995X
• DOI: 10.17691/stm2024.16.3.05

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. 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 120 ms, advanced interatrial block, the area of the biphasic P-wave terminal part 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. 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[ ( ) ], where ( ) ECG signal samples, 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