Spectral analysis of short-term heart rate variability in diabetic patients

1990 ◽  
Vol 30 ◽  
pp. S45-S49 ◽  
Author(s):  
Giancarlo Comi ◽  
Maria Grazia Natali Sora ◽  
Anna Bianchi ◽  
Bruno Bontempi ◽  
Paolo Gianoglio ◽  
...  
2005 ◽  
Vol 104 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Denis Chemla ◽  
Jacques Young ◽  
Fabio Badilini ◽  
Pierre Maison-Blanche ◽  
Hélène Affres ◽  
...  

1988 ◽  
Vol 254 (2) ◽  
pp. R242-R248 ◽  
Author(s):  
J. Gonzalez Gonzalez ◽  
L. De Vera Porcell

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.


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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