Short-term effects of espresso coffee on heart rate variability and blood pressure in habitual and non-habitual coffee consumers – A randomized crossover study

2015 ◽  
Vol 19 (4) ◽  
pp. 169-175 ◽  
Author(s):  
Frank Zimmermann-Viehoff ◽  
Julian Thayer ◽  
Julian Koenig ◽  
Christian Herrmann ◽  
Cora S. Weber ◽  
...  
2013 ◽  
Vol 2013 (1) ◽  
pp. 4244
Author(s):  
Jing Huang ◽  
Furong Deng ◽  
Shaowei Wu ◽  
Henry Lu ◽  
Yu Hao ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Attila Frigy ◽  
Annamária Magdás ◽  
Victor-Dan Moga ◽  
Ioana Georgiana Coteț ◽  
Miklós Kozlovszky ◽  
...  

Objective.The possible effect of blood pressure measurements per se on heart rate variability (HRV) was studied in the setting of concomitant ambulatory blood pressure monitoring (ABPM) and Holter ECG monitoring (HM).Methods.In 25 hypertensive patients (14 women and 11 men, mean age: 58.1 years), 24-hour combined ABPM and HM were performed. For every blood pressure measurement, 2-minute ECG segments (before, during, and after measurement) were analyzed to obtain time domain parameters of HRV: SDNN and rMSSD. Mean of normal RR intervals (MNN), SDNN/MNN, and rMSSD/MNN were calculated, too. Parameter variations related to blood pressure measurements were analyzed using one-way ANOVA with multiple comparisons.Results.2281 measurements (1518 during the day and 763 during the night) were included in the analysis. Both SDNN and SDNN/MNN had a constant (the same for 24-hour, daytime, and nighttime values) and significant change related to blood pressure measurements: an increase during measurements and a decrease after them (p<0.01for any variation).Conclusion.In the setting of combined ABPM and HM, the blood pressure measurement itself produces an increase in short-term heart rate variability. Clarifying the physiological basis and the possible clinical value of this phenomenon needs further studies.


2019 ◽  
pp. 72-77
Author(s):  
S. M. Zakharov

The time and spectral analysis of blood pressure signals (BP of systolic, diastolic, pulse) obtained in real time and reflecting the work of the heart at short time intervals is presented. As a time interval, a sequence of one hundred cardiac cycles was chosen. The main parameters of variability are determined. The proposed method of analysis is an analogue of heart rate variability (HRV), based on the study of RR cardiointervals. Spectral analysis of blood pressure signals shows differences in the degree of orderliness or disorder of individual frequencies or the spectrum as a whole. The presented methodology will allow to reveal further features for use in the diagnosis of various pathologies.


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