DocumentCode :
591373
Title :
Recurrence quantification analysis based on P-P intervals measurement in postinfarction patients with frequent ventricular ectopy
Author :
Balogh, N. ; Khoor, S. ; Szuszai, T. ; Kecskes, Istvan ; Fugedi, K. ; Kovacs, Istvan ; Simon, I. ; Rubicsek, S.
Author_Institution :
Medartintech Ltd., Budapest, Hungary
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
985
Lastpage :
988
Abstract :
Frequent ventricular ectopy results a great problem of any heart rate variability analysis method, because the interpolation of the R-R intervals significantly disturbs the intrinsic rhythm´s features. Recurrence quantification analysis (RQA) is a valuable tool for predicting serious cardiovascular events. Our ambulatory ECG (AECG) system (RhythmPattern, SzivLeso) processes the 1 kHz ECG recordings, calculates various non-linear heart rate parameters, and analyses the P- and R-waves The study population (age 61.9±8.6) consists of 89 postinfarction patients, where frequent (>; 6000/24 hours) ventricular ectopic beats were found. The ambulatory ECG monitoring was repeated in every month; the mean follow-up was 38.8 months. The patients were divided into two groups: 72 pts were alive (Group_A), and 17 pts (Group_B) died at the end of the study. The P-P tachogram was determined instead of R-R intervals. The standard parameters of RQA were calculated. Significant (p<;0.01) differences were found of the majority of RQA parameters, when the P-to-P wave tachograms were used instead of R-to-R wave ones.
Keywords :
diseases; electrocardiography; interpolation; medical signal detection; medical signal processing; AECG; P-P interval measurement; P-P tachogram; P-wave signal detection; R-R interval interpolation; RQA; SzivLeso process; ambulatory ECG system; frequency 1 kHz; frequent ventricular ectopy; heart rate variability analysis method; intrinsic rhythm features; postinfarction patients; recurrence quantification analysis; rhythm pattern; signal processing; ventricular ectopic beats; Electrocardiography; Entropy; Heart rate variability; Monitoring; Rhythm; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
ISSN :
2325-8861
Print_ISBN :
978-1-4673-2076-4
Type :
conf
Filename :
6420561
Link To Document :
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