Nonlinear analyses of heart rate variability in hypertension

Autor: B. Koichubekov, Marina Sorokina, Ilya Korshukov, Yelena Laryushina, L. Turgunova
Rok vydání: 2018
Předmět:
Zdroj: Annales de Cardiologie et d'Angéiologie. 67:174-179
ISSN: 0003-3928
Popis: Objective The autonomic nervous system plays an important role in blood pressure regulation and in the development of hypertension. Heart rate variability (HRV) may be of importance in identifying subjects at higher risk of developing hypertension. In the present study, comparative analysis of HRV for normal and hypertension subjects using nonlinear indices has been carried out. Patients and methods We analyzed the data from 24 patients with essential hypertension aged 45–55 (HG). All the subjects in this group had a confirmed diagnosis of the first- or second-stage essential hypertension. The control group for these subjects included 32 healthy volunteers of the same age group (CG). We analyzed the whole 5 minutes of the ECG recording. Nonlinear indices D2, K2 and lagged Poincare plot indices were calculated. Results Values of D2 and K2 in hypertension state is statistically significantly lower than in healthy. Poincare plot indices SD1 and SD2 in healthy volunteers are statistically higher than in hypertensive patients for all lags (P Conclusion The heart rhythm in groups with hypertension is more regular, its dynamics are less complex and less “chaotic,” compared to healthy ones. This is expressed in lower values of entropy and correlation dimension. The HR stabilization is observed at both short and long time intervals, but mainly due to the decrease in the difference of the “neighboring” R-R intervals.
Databáze: OpenAIRE