On the spectral analysis of blood pressure variability

Boer, R. W. De; Karemaker, J.M.; Strackee, J.

doi:10.1152/ajpheart.1986.251.3.h685

Cited by 19 publications

(18 citation statements)

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“…The absolute spectral power densities at respiration frequencies were higher in the LF than in the HF range, the differences being larger in a vertical position of the subjects than in a horizontal position ( Z = 1.92, P = 0.05, and Z = 3.66, P = 0.0003, respectively). The absolute spectral power densities were the highest in the tests with a respiration period of 10 s (the 0.10-Hz component of the HRV spectrum) ( Table 1), which agrees with the assumption that a stable component of the HRV spectrum exists in the 0.10-Hz region (the LF range) [12][13][14][15][16].…”

Section: Resultssupporting

confidence: 83%

Mechanisms of Periodic Heart Rate Oscillations: A Study Using Controlled Breathing Tests

et al. 2005

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Periodic oscillations of the heart rate (HR) are determined by a complex regulatory system. Like other biorhythms, the rhythmic oscillations of the HR result from stochastic nonlinear biological mechanisms responding to changing external factors. However, most physiological oscillations are not strictly periodic; changing external factors and random disturbances ("noise") usually make the rhythms vary irregularly with time [1]. The cardiac rhythm is no exception. The mechanism of HR control mediated by the autonomic nervous system is modulated by numerous external factors (respiration, exercise, posture changes, emotional factors, etc.) [1]. This multifactorial interaction determines the complexity of studying the effects of various factors on HR variability (HRV), as well as the characteristics of the physiological oscillations in HR themselves.To simplify the understanding of the complex interand intrasystemic interactions forming the HRV, we may present this set of mechanisms as an integrated system of the autonomic nervous control of the heart (SANCH), in which respiration rate, changes in blood pressure (BP), emotions, etc., are input parameters and HRV is the output signal ( Fig. 1). Probably, various biological oscillatory mechanisms exist within this system; however, they differ in their relative contributions to the formation of the output signal. The question arises of how the roles of different internal oscillatory mechanisms in the formation of the HRV can be studied.Interactions between the cardiovascular and respiratory systems are very strong; one of their results is respiratory sinus arrhythmia [2,3]. Although the intensity of this intersystemic interaction has not been determined conclusively, the use of the functional parameters of the respiratory system for studying the characteristics of the SANCH seems promising, the more so as these parameters are easy to measure. The monitoring of the function of the respiratory system makes it possible to record most information at the input of the SANCH. Analysis of the input signals and the output signal (in the form of HRV) under different conditions of SANCH functioning allows the characteristics of the interaction between the respiratory and the cardiovascular systems and their changes with time to be described and studied in detail.Abstract -An orthostatic test with frequency-controlled breathing (with periods of 4, 6, 8, 10, and 12 s) was used to analyze frequency estimates of the heart rate variability (HRV) spectrum in the low frequency (LF) and high frequency (HF) ranges in 36 volunteers (26 men and 10 women) aged 19-21 years without signs of heart or respiratory pathology. The subjects took a breath at the moment of an auditory signal. There were no other requirements for the respiration rhythm. Variables were compared using Wilcoxon's test for pairwise comparisons; correlations were estimated by Spearman's rank correlation R test. The sensitivities of the LF and HF ranges of the HRV spectrum to periodic respiratory perturbations at different fr...

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Section: Resultssupporting

confidence: 83%

Mechanisms of Periodic Heart Rate Oscillations: A Study Using Controlled Breathing Tests

et al. 2005

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“…Second, analysis of BP variability appears to provide a better surrogate marker of the progression of the epidural block with a gradual decrease in power coinciding with the increase in somatosensory block. This may reflect observations from previous studies that show a correlation between BP variability and changes in sympathetic tone 2,4,7,9,10 and would closely follow the functional sympathectomy in our patients. Neuraxial blockade has been associated with an enhanced sensitivity of the autonomic response when compared to the somatosensory response.…”

Section: Discussionsupporting

confidence: 85%

“…Wavelet transform allows for the analysis of rapidly changing HR and BP. Changes in high frequency (HF) power of HR variability have been shown to indicate changes in parasympathetic activity, [2][3][4][5][6][7][8] while changes in all frequencies of BP variability have been correlated with changes in sympathetic activity.…”

Section: Protocolmentioning

confidence: 99%

La variabilité de la fréquence cardiaque et de la tension artérielle comme indicateurs du bloc sensitif lors de l’analgésie péridurale pour le travail obstétrical

Deschamps

Kaufman

Geist

et al. 2007

Can J Anesth/J Can Anesth

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Purpose:To evaluate the correlation between the progression of somatosensory blockade and changes in autonomic outflow following the onset of labour epidural analgesia. Methods: Twelve labouring parturients consented to participate in the study. Baseline electrocardiogram, blood pressure (BP) and respiratory rate were recorded for ten minutes. The epidural consisted of 0.125% bupivacaine with 50 µg of fentanyl (total volume 20 mL). Measurements were repeated for ten minutes after initiation of the block. The level of sensory block was measured bilaterally with loss of sensation to ice at twominute intervals. Wavelet transform was used to obtain heart rate (HR) and BP variability every two minutes following the loading dose of epidural medication. High frequency power of HR variability was used to assess changes in parasympathetic activity. The total power of BP variability was used to assess changes in sympathetic activity. A nonparametric repeated measures ANOVA was used for the variability data, and a Spearman rank correlation test was used to evaluate the relationship between the sensory block and HR and BP variability. Results: The sensory block progressed to T9 at ten minutes post-epidural and was the mirror image of the decrease in total power of BP variability. High frequency power of HR variability increased to a plateau at six minutes post-epidural. A significant correlation was found between the increase in sensory block and the observed decrease in BP variability (r = -1.000, P = 0.0028). Conclusion: In this study of labouring parturients, BP variability correlated with the progression of both sympathetic and somatosensory block following epidural anesthesia, while HR variability was shown to be a surrogate marker of increased parasympathetic activity.

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“…These rhythms are observed in heart rate (HR) (4-7), blood pressure (BP) (1,2,4,5,8) and photoplethysmogram (PPG) signals (1,2,(9)(10)(11)(12). It is evident that they have both the central (3,9,13,14) and baroreflex (15,16) origin.…”

Section: Introductionmentioning

confidence: 99%

Effects of antihypertensive treatment on cardiovascular autonomic control: a prospective study

Kiselev¹,

Gridnev²,

Прохоров³

et al. 2014

Anadolu Kardiyol Derg

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Objective: The aim of study was to propose an approach to the control of dynamics of autonomic dysfunction in cardiovascular system (CVS) under antihypertensive treatment (AT) in patients with arterial hypertension (AH), based on individual features of synchronization of 0.1-Hz rhythms in heart rate (HR) and photoplethysmogram (PPG) and spectral indices of heart rate variability (HRV). Methods: We designed prospective cohort diagnostic accuracy and studied 105 AH patients (66 females) aged 47±8 years during 8 weeks. The HRV spectral indices and the index S of synchronization between the 0.1-Hz rhythms in HR and PPG during a tilt test are compared in their ability to control the AT with angiotensin-converting enzyme inhibitors (ACE-Is) (fosinopril or enalapril) and β-blockers (atenolol or metoprolol). We apply Shapiro-Wilk, Mann-Whitney U and Wilcoxon tests. Results: It is shown that the power of low-frequency (LF) band in HRV spectrum and index S can be used as criteria for initial assessment of the status of autonomic regulation in AH patients. The patients with S<25% in vertical body's position and LF>250 ms 2 in horizontal body's position require ACE-Is treatment. The AH patients with LF<350 ms 2 and S<30% in vertical body's position require β-blocker treatment. The AH patients with S>25% and LF>250 ms 2 in horizontal body's position do not require any ACE-Is or β-blocker treatment. Both drug groups can be used in patients with low values of index S and low power of LF band in HRV spectrum. Conclusion: The control of AT can be carried out in AH patients taking into account the individual features of autonomic dysfunction in CVS. Sensitivity and specificity of our approach were 65% and 73%, respectively. (Anadolu Kardiyol Derg 2014; 14: 701-10)

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On the spectral analysis of blood pressure variability

Cited by 19 publications

References 0 publications

Mechanisms of Periodic Heart Rate Oscillations: A Study Using Controlled Breathing Tests

Mechanisms of Periodic Heart Rate Oscillations: A Study Using Controlled Breathing Tests

La variabilité de la fréquence cardiaque et de la tension artérielle comme indicateurs du bloc sensitif lors de l’analgésie péridurale pour le travail obstétrical

Effects of antihypertensive treatment on cardiovascular autonomic control: a prospective study

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