Spectral analysis of short-term blood pressure and heart rate variability in uremic patients

1992 ◽  
Vol 24 ◽  
pp. 19
Author(s):  
L CLOARECBLANCHARD
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Short Term ◽  
Uremic Patients

scholarly journals VARIABILITY OF ARTERIAL PRESSURE AT SHORT-TERM TIME INTERVALS

2019 ◽  
pp. 72-77
Author(s):  
S. M. Zakharov
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Arterial Pressure ◽  
Real Time ◽  
Time Interval ◽  
Short Term ◽  
Time Intervals ◽  
Short Time

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.

scholarly journals Power Spectral Analysis of Spontaneous Blood Pressure and Heart Rate Variability in Elderly Hypertensives.

1996 ◽  
Vol 19 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Tadashi Aono ◽  
Takayuki Sato ◽  
Masanori Nishinaga ◽  
Akiko Kawamoto ◽  
Toshio Ozawa
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Power Spectral Analysis ◽  
Power Spectral ◽  
Elderly Hypertensives

Spectral analysis of heart rate variability of lizard, Gallotia galloti

1988 ◽  
Vol 254 (2) ◽  
pp. R242-R248 ◽  
Author(s):  
J. Gonzalez Gonzalez ◽  
L. De Vera Porcell
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Body Temperature ◽  
Short Term ◽  
Spectral Components ◽  
Frequency Components ◽  
Transient Interactions ◽  
Beat Heart ◽  
Gallotia Galloti

The beat-to-beat heart rate of the lizard, Gallotia galloti, at rest shows short-term oscillations, the frequency of which varies with body temperature. Spectral analysis of the heart rate variability signal shows that, above 20 degrees C, two major frequency components are present: the first component has a mean frequency ranging from 0.032 at 20 degrees C to 0.070 Hz at 35 degrees C and the second from 0.039 at 20 degrees C to 0.10 Hz at 35 degrees C of body temperature. The beat-to-beat heart rate variability does not seem to be correlated with ventilatory activity. The two spectral components could be associated as in mammals with the activity of the control systems that regulate the circulation, especially with the cutaneous vasomotor thermoregulatory and endogenous pressure vasomotor activities. Transient interactions between both components are described.

scholarly journals Increase of Short-Term Heart Rate Variability Induced by Blood Pressure Measurements during Ambulatory Blood Pressure Monitoring

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Attila Frigy ◽  
Annamária Magdás ◽  
Victor-Dan Moga ◽  
Ioana Georgiana Coteț ◽  
Miklós Kozlovszky ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Ambulatory Blood Pressure ◽  
Pressure Measurement ◽  
Blood Pressure Monitoring ◽  
Blood Pressure Measurement ◽  
Pressure Measurements ◽  
Pressure Monitoring ◽  
Short Term

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.

Spectral Analysis of Heart Rate Variability during Trigger Point Acupuncture

2014 ◽  
Vol 32 (3) ◽  
pp. 273-278 ◽  
Author(s):  
Yoji Kitagawa ◽  
Kenichi Kimura ◽  
Sohei Yoshida
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Tibialis Anterior ◽  
Trigger Point ◽  
Tibialis Anterior Muscle ◽  
Trigger Points ◽  
Control Group ◽  
The Right

Objectives To clarify changes in the cardiovascular autonomic nervous system function due to trigger point acupuncture, we evaluated differences in responses between acupuncture at trigger points and those at other sites using spectral analysis of heart rate variability. Methods Subjects were 35 healthy men. Before measurements began the subjects were assigned to a trigger point acupuncture or control group based on the presence/absence of referred pain on applying pressure to a taut band within the right tibialis anterior muscle. The measurements were conducted in a room with a temperature of 25°C, with subjects in a long sitting position after 10 min rest. Acupuncture needles were retained for 10 min at two sites on the right tibialis anterior muscle. ECG was performed simultaneously with measurements of blood pressure and the respiratory cycle. Based on the R–R interval on the ECG, frequency analysis was performed, low-frequency (LF) and high-frequency (HF) components were extracted and the ratio of LF to HF components (LF/HF) was evaluated. Results The trigger point acupuncture group showed a transient decrease in heart rate and an increase in the HF component but no significant changes in LF/HF. In the control group, no significant changes were observed in heart rate, the HF component or LF/HF. There were no consistent changes in systolic or diastolic blood pressure in either group. Conclusions These data suggest that acupuncture stimulation of trigger points of the tibialis anterior muscle transiently increases parasympathetic nerve activity.

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