Effects of nicardipine and diltiazem on fractal features of short-term heart rate variability?application of coarse graining spectral analysis

2002 ◽  
Vol 16 (2) ◽  
pp. 108-113 ◽  
Author(s):  
Junken Koh ◽  
Ichiro Hidaka ◽  
Masahiko Miyata
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.


1990 ◽  
Vol 30 ◽  
pp. S45-S49 ◽  
Author(s):  
Giancarlo Comi ◽  
Maria Grazia Natali Sora ◽  
Anna Bianchi ◽  
Bruno Bontempi ◽  
Paolo Gianoglio ◽  
...  

2006 ◽  
Vol 96 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Alexandra Jirkovská ◽  
Petr Boucek ◽  
Stephanie Wu ◽  
Jana Hosová ◽  
Robert Bém ◽  
...  

Charcot’s or neuropathic osteoarthropathy is one of the most debilitating orthopedic sequelae of diabetes mellitus. Distinguishing Charcot’s neuroarthropathy from clinically similar conditions may be challenging. The neurovascular theory postulates that Charcot’s neuroarthropathy may be secondary to sympathetic denervation of the lower-extremity vasculature. A convenient method for assessing autonomic neuropathy in patients with Charcot’s neuroarthropathy is needed. Short-term power spectral analysis (PSA) of heart rate variability (HRV), a noninvasive and quantitative method for assessing autonomic neuropathy, may be advantageous compared with the traditionally used Ewing’s cardiovascular reflex tests. However, there are limitations to the clinical use of PSA of HRV because of poor standardization. We standardized PSA of HRV and assessed autonomic neuropathy in 17 people with acute Charcot’s neuroarthropathy using PSA of HRV versus Ewing’s tests. More patients with Charcot’s neuroarthropathy were diagnosed as having autonomic neuropathy with PSA of HRV than with Ewing’s tests (94% versus 82%); however, no significant difference between the two methods was found. The results of this study suggest that PSA of HRV requires minimal patient collaboration and time expenditure compared with Ewing’s tests and may be useful in detecting autonomic neuropathy in patients with Charcot’s neuroarthropathy. (J Am Podiatr Med Assoc 96(1): 1–8, 2006)


2004 ◽  
Vol 148 (1) ◽  
pp. 63-67 ◽  
Author(s):  
Jan Galuszka ◽  
Jaroslav Opavsky ◽  
Jan Lukl ◽  
Pavel Stejskal ◽  
Jana Zapletalova ◽  
...  

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