Baroreflex sensitivity and power spectral analysis in different extrapyramidal syndromes

2008 ◽  
Vol 115 (11) ◽  
pp. 1527-1536 ◽  
Author(s):  
C. Friedrich ◽  
H. Rüdiger ◽  
C. Schmidt ◽  
B. Herting ◽  
S. Prieur ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Baroreflex Sensitivity ◽  
Power Spectral Analysis ◽  
Power Spectral ◽  
Extrapyramidal Syndromes

Baroreflex sensitivity and power spectral analysis during autonomic testing in different extrapyramidal syndromes

2009 ◽  
Vol 25 (3) ◽  
pp. 315-324 ◽  
Author(s):  
Constanze Friedrich ◽  
Heinz Rüdiger ◽  
Claudia Schmidt ◽  
Birgit Herting ◽  
Silke Prieur ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Baroreflex Sensitivity ◽  
Power Spectral Analysis ◽  
Autonomic Testing ◽  
Power Spectral ◽  
Extrapyramidal Syndromes

Influence of aging on cardiac baroreflex sensitivity determined non-invasively by power spectral analysis

2001 ◽  
Vol 100 (3) ◽  
pp. 267 ◽  
Author(s):  
Gianfranco PICCIRILLO ◽  
Mauro CACCIAFESTA ◽  
Emanuela VIOLA ◽  
Elvira SANTAGADA ◽  
Marialuce NOCCO ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Baroreflex Sensitivity ◽  
Power Spectral Analysis ◽  
Power Spectral

Physiology and Pathophysiology of Heart Rate and Blood Pressure Variability in Humans: Is Power Spectral Analysis Largely An Index of Baroreflex Gain?

1995 ◽  
Vol 88 (1) ◽  
pp. 103-109 ◽  
Author(s):  
Peter Sleight ◽  
Maria Teresa La Rovere ◽  
Andrea Mortara ◽  
Gianni Pinna ◽  
Roberto Maestri ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Spectral Analysis ◽  
High Frequency ◽  
Blood Pressure Variability ◽  
Baroreflex Sensitivity ◽  
Low Frequency ◽  
Power Spectral Analysis ◽  
Autonomic Balance ◽  
Baroreflex Control ◽  
Power Spectral

1. It is often assumed that the power in the low-(around 0.10 Hz) and high-frequency (around 0.25 Hz) bands obtained by power spectral analysis of cardiovascular variables reflects vagal and sympathetic tone respectively. An alternative model attributes the low-frequency band to a resonance in the control system that is produced by the inefficiently slow time constant of the reflex response to beat-to-beat changes in blood pressure effected by the sympathetic (with or without the parasympathetic) arm(s) of the baroreflex (De Boer model). 2. We have applied the De Boer model of circulatory variability to patients with varying baroreflex sensitivity and one normal subject, and have shown that the main differences in spectral power (for both low and high frequency) between and within subjects are caused by changes in the arterial baroreflex gain, particularly for vagal control of heart rate (R—R interval) and left ventricular stroke output. We have computed the power spectrum at rest and during neck suction (to stimulate carotid baroreceptors). We stimulated the baroreceptors at two frequencies (0.1 and 0.2 Hz), which were both distinct from the controlled respiration rate (0.25 Hz), in both normal subjects and heart failure patients with either sensitive or poor baroreflex control. 3. The data broadly confirm the De Boer model. The low-frequency (0.1 Hz) peak in either R—R or blood pressure variability) was spontaneously generated only if the baroreflex control of the autonomic outflow was relatively intact. With a large stimulus to the carotid baroreceptor it was possible to influence the low-frequency R—R but not low-frequency blood pressure variability. This implies that it is too simplistic to use power spectral analysis as a simple measure of autonomic balance its underlying modulation is more complex than generally believed. 4. It may be that power spectral analysis is more a sensitive indicator of baroreflex control, particularly of vagal control, than direct evidence of autonomic balance. of course, there is often a correlation between the gain of the reflex and the autonomic balance of vagus and sympathetic. These considerations may help our understanding of some conditions, such as exercise or heart failure, when the power spectral analysis method fails to identify increased sympathetic discharge; this failure may partly be explained by the decrease in baroreflex sensitivity which occurs in these two conditions.

Influence of aging on cardiac baroreflex sensitivity determined non-invasively by power spectral analysis

2001 ◽  
Vol 100 (3) ◽  
pp. 267-274 ◽  
Author(s):  
Gianfranco PICCIRILLO ◽  
Mauro CACCIAFESTA ◽  
Emanuela VIOLA ◽  
Elvira SANTAGADA ◽  
Marialuce NOCCO ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Baroreflex Sensitivity ◽  
Large Population ◽  
Low Frequency ◽  
Power Spectral Analysis ◽  
The Elderly ◽  
Elderly Subjects ◽  
Spectral Window ◽  
Power Spectral ◽  
Effects Of Aging

Aging reduces cardiac baroreflex sensitivity. Our primary aim in the present study was to assess the effects of aging on cardiac baroreflex sensitivity, as determined by power spectral analysis (α index), in a large population of healthy subjects. We also compared the α indexes determined by power spectral analysis with cardiac baroreflex sensitivity measured by the phenylephrine method (BSphen). We studied 142 subjects (79 males/63 females; age range 9–94 years), who were subdivided into five groups according to percentiles of age (25, 50, 75 and 95). Power spectral analysis yields three α indexes: an α low-frequency (LF) index of cardiac baroreflex sensitivity that ranges around 0.1 Hz; an α high-frequency (HF) index reflecting cardiac baroreflex sensitivity corresponding to the respiratory rate; and α total frequency (α TF), a new index whose spectral window includes all power in the range 0.03–0.42 Hz. Spectra were recorded during controlled and uncontrolled respiration. Under both conditions, all three α indexes were higher in the youngest age group (⩽ 34 years old) than in the three oldest groups. Notably, α TF was significantly higher in younger subjects than in the three oldest groups [14±1 ms/mmHg compared with 9±1 (P < 0.05), 8.1±1 (P < 0.001) and 8.1±1 (P < 0.05) ms/mmHg respectively]. BSphen showed a similar pattern [12±1 ms/mmHg compared with 8±0.5 (P < 0.001), 6±0.5 (P < 0.05) and 6±1 (P < 0.05) ms/mmHg respectively]. No significant differences were found for cardiac baroreflex sensitivity among the three oldest groups. All α indexes were correlated inversely with age. The index yielding the closest correlation with BSphen was α TF (r = 0.81, P < 0.001). Cardiac baroreflex sensitivity in normotensive individuals declines with age. It falls predominantly in middle age (from approx. 48 years onwards) and remains substantially unchanged thereafter. The elderly subjects we selected for this study probably had greater resistance to cardiovascular disease that is manifested clinically, with preserved cardiac baroreceptor sensitivity.

Power spectral analysis of heart-rate variations improves assessment of diabetic cardiac autonomic neuropathy

Diabetes ◽  
1992 ◽  
Vol 41 (5) ◽  
pp. 633-640 ◽  
Author(s):  
F. Bellavere ◽  
I. Balzani ◽  
G. De Masi ◽  
M. Carraro ◽  
P. Carenza ◽  
...  
Keyword(s):  
Heart Rate ◽  
Spectral Analysis ◽  
Autonomic Neuropathy ◽  
Power Spectral Analysis ◽  
Cardiac Autonomic Neuropathy ◽  
Power Spectral ◽  
Diabetic Cardiac Autonomic Neuropathy

Usefulness of Power Spectral Analysis for Measurement of Local Muscle Fatigue during Keyboard Task

1999 ◽  
Vol 11 (4) ◽  
pp. 449
Author(s):  
Soon Young Kwon ◽  
Chung Yill Park ◽  
Jung Wan Koo ◽  
Hyeon Woo Yim ◽  
Kang Sook Lee
Keyword(s):  
Spectral Analysis ◽  
Muscle Fatigue ◽  
Power Spectral Analysis ◽  
Power Spectral ◽  
Local Muscle Fatigue
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