Twenty-Four-Hour Pattern of Blood Pressure and Spectral Analysis of Heart Rate Variability in Diabetic Patients with Various Degrees of Autonomic Neuropathy. Comparison to Standard Cardiovascular Tests

1996 ◽  
Vol 91 (s1) ◽  
pp. 105-107 ◽  
Author(s):  
Vincenza Spallone ◽  
Luciano Bernardi ◽  
M. Rosaria Maiello ◽  
Elena Cicconetti ◽  
Luigi Ricordi ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Autonomic Neuropathy ◽  
Diabetic Patients ◽  
Cardiovascular Tests

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

Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients

2005 ◽  
Vol 104 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Denis Chemla ◽  
Jacques Young ◽  
Fabio Badilini ◽  
Pierre Maison-Blanche ◽  
Hélène Affres ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Diabetic Patients

Spectral analysis of blood pressure and heart rate variability in response to stress from air-jet in the Lyon rat

1994 ◽  
Vol 14 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Jocelyne Blanc ◽  
Marie-Laure Grichois ◽  
Madeleine Vincent ◽  
Jean-Luc Elghozi
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Air Jet ◽  
Response To Stress

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.

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.

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