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PubMed1987

Spectral analysis of heart rate fluctuations. A non-invasive, sensitive method for the early diagnosis of autonomic neuropathy in diabetes mellitus.

Early detection and a quantitative evaluation of the degree of diabetic autonomic neuropathy were performed in 23 diabetic patients and 22 controls by computerized spectral analysis of beat-to-beat R-R interval variations on a continuous electrocardiogram. Simultaneous recording of cardiac and respiratory activity, R-wave detection by a fast peak detection algorithm and spectrum computation by Fast Fourier transform enabled the study of the power spectrum of heart rate fluctuations. The power of fluctuations at different frequencies is the result of sympathetic and vagal input into the sinoatrial node: this input is derived from vasomotor, baroreceptor and respiratory control loops. A marked reduction in the power of heart rate (HR) fluctuations, at all frequencies, was found in the diabetic patients as compared to controls. This indicates a depression of both parasympathetic and sympathetic activity. The difference was especially pronounced in subjects below age 65. The lowest activity was found in diabetics with concomitant peripheral neuropathy. The method described here is simple, objective, quantitative and very sensitive. It may facilitate the screening of diabetic patients for autonomic neuropathy and enable a convenient quantitative follow-up.

Adult↗
PubMed1998

Power spectral analysis of heart rate variability in type A females during a psychomotor task.

This study investigated changes in autonomic nervous activities due to psychological stress in Type A females. Eight Type A and eight Type B females performed a psychomotor task for 30 minutes. Power spectral analysis of heart rate variability (HRV) was used to examine the autonomic nervous activities. Results showed the low frequency (LF) component and LF/HF ratio in Type A females increased after the onset of the task. There were no significant differences in task performance between Type A and Type B females. The subjective mental workload increased gradually in Type A females during the tasks, whereas in Type B females this parameter did not change in a consistent manner. The results suggest that the sympathetic nervous system in Type A females was more stimulated by the task and Type A females felt a greater subjective mental workload than did Type B females.

Adult↗
PubMed2003

Rank-shaping regularization of exponential spectral analysis for application to functional parametric mapping.

Compartmental models are widely used for the mathematical modelling of dynamic studies acquired with positron emission tomography (PET). The numerical problem involves the estimation of a sum of decaying real exponentials convolved with an input function. In exponential spectral analysis (SA), the nonlinear estimation of the exponential functions is replaced by the linear estimation of the coefficients of a predefined set of exponential basis functions. This set-up guarantees fast estimation and attainment of the global optimum. SA, however, is hampered by high sensitivity to noise and, because of the positivity constraints implemented in the algorithm, cannot be extended to reference region modelling. In this paper, SA limitations are addressed by a new rank-shaping (RS) estimator that defines an appropriate regularization over an unconstrained least-squares solution obtained through singular value decomposition of the exponential base. Shrinkage parameters are conditioned on the expected signal-to-noise ratio. Through application to simulated and real datasets, it is shown that RS ameliorates and extends SA properties in the case of the production of functional parametric maps from PET studies.

Algorithms↗
PubMed2006

Hyperthyroidism is characterized by both increased sympathetic and decreased vagal modulation of heart rate: evidence from spectral analysis of heart rate variability.

OBJECTIVE: The clinical manifestations of hyperthyroidism resemble those of the hyperadrenergic state. This study was designed to evaluate the impact of hyperthyroidism on the autonomic nervous system (ANS) and to investigate the relationship between serum thyroid hormone concentrations and parameters of spectral heart rate variability (HRV) analysis in hyperthyroidism. DESIGN AND PATIENTS: Thirty-two hyperthyroid Graves' disease patients (mean age 31 years) and 32 sex-, age-, and body mass index (BMI)-matched normal control subjects were recruited to receive one-channel electrocardiogram (ECG) recording. MEASUREMENTS: The cardiac autonomic nervous function was evaluated by the spectral analysis of HRV, which indicates the autonomic modulation of the sinus node. The correlation coefficients between serum thyroid hormone concentrations and parameters of the spectral HRV analysis were also computed. RESULTS: The hyperthyroid patients revealed significant differences (P < 0.001) compared with the controls in the following HRV parameters: a decrease in total power (TP), very low frequency power (VLF), low frequency power (LF), high frequency power (HF), and HF in normalized units (HF%); and an increase in LF in normalized units (LF%) and in the ratio of LF to HF (LF/HF). After correction of hyperthyroidism in 28 patients, all of the above parameters were restored to levels comparable to those of the controls. In addition, serum thyroid hormone concentrations showed significant correlations with spectral HRV parameters. CONCLUSIONS: Hyperthyroidism is in a sympathovagal imbalanced state, characterized by both increased sympathetic and decreased vagal modulation of the heart rate. These autonomic dysfunctions can be detected simultaneously by spectral analysis of HRV, and the spectral HRV parameters could reflect the disease severity in hyperthyroid patients.

Adult↗
PubMed1994

Sympathetic and parasympathetic indicators of heart rate control at altitude studied by spectral analysis.

The adaptive responses of the cardiovascular system to altitude appear to be dominated by increased sympathetic neural activity. We investigated the combined roles of the sympathetic and parasympathetic nervous systems (SNS and PNS, respectively) in the early (days 4-5) and subsequent (days 11-12) phases of acclimatization on Pike's Peak, CO (4,300 m), by spectral analysis of heart rate variability. Male subjects were randomly assigned to groups receiving oral propranolol (240 mg/day; n = 6) or a matched placebo (n = 3). On ascent to altitude, the high-frequency, fractal, and total spectral powers were reduced in the placebo group during days 4-5 and 11-12. At altitude during days 4-5, all three placebo group subjects increased SNS and decreased PNS activities compared with at sea level, and during days 11-12 SNS decreased and PNS increased compared with days 4-5. Relative to the placebo group, propranolol caused lengthening of the R-R interval; increases in high-frequency power, total spectral power, and the PNS indicator; and a decrease in the SNS indicator. Total spectral power tended to decrease at altitude, but there were no effects of altitude on PNS and SNS indicators in the propranolol group. The data from the placebo and propranolol groups suggest that both the PNS and SNS are involved in the elevated heart rate during the early phase of altitude acclimatization. Changes in heart rate variability during days 11-12 at altitude must be considered in light of the possible reductions in sympathetic receptor number noted in previous studies.

Acclimatization↗
PubMed2005

Cardiovascular variability during periodic leg movements: a spectral analysis approach.

OBJECTIVE: Changes in cardiovascular measures have been advocated as sensitive markers of phasic events arising from sleep. The current study was aimed to analyse the effects of periodic leg movements (PLMS) on heart rate variability (HRV) during NREM sleep in patients having restless legs syndrome and periodic leg movements during sleep. METHODS: The absolute and normalized high- and low-frequency peaks from spectral analysis (FFT) of R-R intervals, the HRV changes using wavelet transform, the geometric and time domain HRV were measured in 14 patients with restless legs syndrome and PLMS. The analysis was done comparing one hundred, 10 min periods with PLMS (PLMS+) and 60 periods without PLMS (PLMS-) in stage 2 of NREM sleep. In 8 patients analysis was also done in slow wave sleep (SWS). RESULTS: Occurrence of PLMS induced changes in geometrical indices of HRV, with a rise of the triangular index and the triangular interpolation of R-R intervals in PLMS+ periods (P < 0.0001). Small changes in time domain indices were found during PLMS+ periods, while the SD of the R-R intervals (SDNN), reflecting global HRV, was significantly higher (P = 0.001). While the low frequency (LF) power significantly increased in PLMS+ periods (P < 0.0001), high frequency (HF) power showed a weak and not significant reduction. The rise in sympathetic activity as detected by frequency domain HRV analysis was related to density and interval of PLMS. Comparison between sleep stages of NREM sleep demonstrated lower values of HRV measures when PLMS+ periods occur in SWS. CONCLUSIONS: Overall, PLMS occurrence was associated with a shift to increased sympathetic activity without significant changes in cardiac parasympathetic activity. The frequency domain analysis of HRV appears to be an easy tool to estimate the autonomic changes related to PLMS and PLMS- arousals and to differentiate their occurrence during stage 2 and deep sleep. SIGNIFICANCE: Spectral HRV measures may offer a simple approach to estimate the degree of autonomic changes occurring in relation to periodic leg movements in restless legs patients.

Adult↗
PubMed1982

Spectral analysis of electrocardiogram signals of the isolated guinea pig heart for the detection of arrhythmias.

Fast Fourier Transform analysis of the electrocardiogram (ECG) signal of the isolated guinea pig heart has been used to investigate the subtle ECG changes that precede cardiac arrhythmias. During prolonged periods of regular contractile activity, spectral analysis of the isolated guinea pig heart ECG revealed that the major frequency components were evenly distributed over the range 0-64 Hz. Prior to arrhythmias or during ischaemia however, there was a major reduction in the amplitude of the higher frequency components. Thus, Fast Fourier Transform analysis of an ECG record enables the detection of the subtle ECG configuration changes that precede cardiac rhythm disturbances. The potential application of this technique for the prediction of cardiac arrhythmias is discussed.

Animals↗
PubMed1994

Evidence of low- and high-frequency oscillations in human AV interval variability: evaluation with spectral analysis.

The spontaneous beat-to-beat variation of atrioventricular (AV) interval was analyzed in time and frequency domains and compared with atrial cycle length (A-A) variability. The analysis was applied in humans at rest and tilt position during sinus rhythm and atrial pacing. The AV intervals showed spontaneous oscillations of small amplitude with a relative standard deviation of 1.8%. Spectral analysis of AV interval series showed the existence of two main oscillatory components at low frequency (LF; 0.04-0.13 Hz) and at high frequency (HF; 0.17-0.4 Hz), synchronous with those of A-A interval series. The same LF and HF fluctuations were found in AV interval variability during atrial pacing. Tilt maneuver inducing a sympathetic stimulation and vagal withdrawal increased LF power and decreased HF power of A-A interval spectra (P < 0.05). On the contrary, tilt decreased the LF (46%, P < 0.05) and HF power (29%, P = NS) of AV conduction spectra. In parallel, tilt decreased (P < 0.0001) the mean A-A interval, leaving the mean AV interval unchanged. When heart rate was held constant by atrial pacing, tilt reduced the mean AV interval, the LF power (65%, P < 0.05), and HF power (10%, P = NS). These results indicate a direct influence of the autonomic nervous system on the LF and HF oscillations of AV conduction. The decrease of AV interval oscillations during tilt demonstrates a marked reduction of autonomic modulation of AV conduction mainly attributable to parasympathetic withdrawal.

Adolescent↗
PubMed1992

Power spectral analysis of RR variability.

The analysis of beat-to-beat spontaneous oscillations of heart rate variability is a recent and noninvasive approach capable of providing important information on neural mechanisms controlling cardiovascular function. In particular, with spectral analysis of RR variability, two major components can be detected at low (LF, approximately 0.1 Hz) and high (HF, approximately 0.25 Hz) frequency. They have been demonstrated to be appropriate indices of, respectively, sympathetic and parasympathetic modulations of heart period. In control subjects, at rest, LF is slightly predominant over HF. In post myocardial infarction patients there is a predominant LF and a diminished HF that suggests an alteration of sympatho-vagal balance with a predominance of sympathetic tone. This approach, by providing indices of sympathetic and vagal neural regulatory outflows, appears adequate to evaluate several pathophysiological conditions such as ischemic heart disease, hypertension or congestive heart failure, which are characterized by important alterations of neural regulatory mechanisms.

Electrocardiography↗
PubMed1994

Spectral analysis and tryptic susceptibility as probes of HIV-1 capsid protein structure.

The structures of HIV-1 capsid protein (CA, p24) isolated from mature virions and CA protein autoprocessed from a recombinant Gag-Pol precursor expressed in Escherichia coli were compared using circular dichroic (CD) spectral analysis. The spectra obtained for the intact recombinant and viral proteins were indistinguishable, indicating that the backbone configurations directed by the primary amino acid sequences of the proteins were similar or identical. The structure predictions derived from CD were, in general, inconsistent with a model proposing the eight-stranded beta barrel motif found in several RNA viruses. However, aspects of the model were supported by experiments that identified surface-exposed regions. Biochemical analysis indicated that the recombinant CA protein formed nonrandom higher-ordered structures in vitro. Under physiological conditions, the protein assembled into oligomers containing subunits in two packing arrangements. In one arrangement, the central region near Arg100 was exposed and susceptible to tryptic digestion at low enzyme concentrations (enzyme:substrate ratios = 1:5000 to 1:100). Also, in this arrangement, the proteins were susceptible to crosslinking by the bifunctional agent DTSSP. Proteins in the other arrangement were resistant to proteolysis at low enzyme concentrations. The central region of these resistant molecules was inaccessible to monospecific antibodies that recognized antigenic sites between residues 94 and 107 and these proteins were not crosslinked by DTSSP or EGS. Following incubation with trypsin, both the resistant molecules and the fragments derived from the susceptible proteins in the oligomer migrated as smaller complexes, suggesting that the regions digested by trypsin stabilized the oligomer unit. The results indicate that the central region of the HIV-1 CA protein plays a role in formation of higher-ordered structures. Moreover, the relative stability of the N- and C-terminal partial digestion fragments arising from cleavage at Arg100/Gly101 suggests that this exposed central region separates two structural domains of the protein.

Circular Dichroism↗
PubMed2003

Interobserver variability of cerebral blood flow measurements obtained using spectral analysis and technetium-99m labeled compounds.

Radionuclide angiography with technetium-99m hexamethylpropylene amine oxime (99mTc-HMPAO) or technetium-99m ethyl cysteinate dimer (99mTc-ECD) enables the non-invasive estimation of absolute cerebral blood flow (CBF) to be determined by using spectral analysis (SA). We previously demonstrated the clinical use of SA; however, this method involves a few manual steps. The aim of this study was to evaluate the interobserver variability of CBF estimations made using SA and compare these results with those obtained by using graphical analysis (GA). In twenty patients with various brain diseases (27-74 years old), radionuclide angiography examinations were performed using 99mTc-labeled compounds (10 patients, 99mTc-HMPAO; 10 patients, 99mTc-ECD). Bilateral cerebral hemispheres were studied in all patients, and the brain perfusion index (BPI) values were estimated using SA and GA. The interobserver variability between two observers was then assessed. A good correlation between the BPI values assessed using both SA (BPI(S)) and GA (BPI(G)) was obtained. The correlation coefficient for BPI(S) (r = 0.987) was almost the same as that for BPI(G) (r = 0.982). The degree of interobserver variability was not affected by the measurement of elevated BPI values. Measurements carried out by two observers using both SA and GA exhibited a similar degree of interobserver variability. SA appears to have a satisfactory interobserver variability and may be more suitable for clinical applications.

Algorithms↗
PubMed1996

Effects of lactate on cross-spectral analysis of heart rate, blood pressure, and lung volume in normal volunteers.

Baroreceptor reflex sensitivity, coherence functions, and transfer functions between respiration and heart rate, and between respiration and blood pressure, were studied in nine normal volunteers before and after intravenous sodium lactate infusions. Cross-spectral analysis was used to examine heart rate, finger blood pressure, and respiration obtained with the subjects in a supine posture during spontaneous breathing. Sodium lactate produced a significant decrease of the modulus between respiration and heart rate (beats/min/l). There was no such change for the placebo infusions. The absence of a significant difference in the modulus between systolic blood pressure and heart rate for placebo or lactate indicated that there were no significant changes in the baroreceptor sensitivity index. These findings suggest that lactate infusions are associated with a decrease in cardiac vagal function.

Adult↗
PubMed1989

Sex differences in the sleep EEG of young adults: visual scoring and spectral analysis.

Baseline sleep of 13 men (mean age of 23.5 years) and 15 women (21.9 years) was analyzed. Visual scoring of the electroencephalograms (EEGs) revealed no significant differences between the sexes in the amounts of slow-wave sleep and rapid-eye-movement (REM) sleep. Spectral analysis, however, detected significantly higher power densities during non-REM sleep over a wide frequency range (0.25-11.0 Hz) in the female versus male subjects. Also, during REM sleep, power densities were higher in the females. Analysis of the time course of EEG power density during sleep revealed that the differences between males and females persisted throughout the sleep episode. Comparison of these differences with published data on the effects of sleep deprivation on EEG power spectra did not suggest a common mechanism underlying sleep deprivation effects and the sex difference in sleep EEGs. It is concluded that sex differences in EEG power spectra are not likely to be caused by sex differences in sleep regulatory mechanisms but may, for instance, be caused by sex differences in skull characteristics.

Adult↗
PubMed1992

Prevalence of cardiovascular autonomic dysfunction assessed by spectral analysis, vector analysis, and standard tests of heart rate variation and blood pressure responses at various stages of diabetic neuropathy.

To establish a test battery for the detection and characterization of cardiovascular autonomic neuropathy (CADN) and to evaluate its prevalence, a number of autonomic function tests based on spectral analysis, vector analysis, and standard tests of heart rate variation and blood pressure responses were performed in 261 diabetic patients aged 11-76 years with various stages of peripheral neuropathy. The percentages of abnormal results in the individual tests based on heart rate variation were 6-31% in 115 patients without peripheral neuropathy, 16-45% in 61 patients with subclinical neuropathy, 22-59% in 73 patients with symptomatic peripheral neuropathy, and 67-100% in 12 patients with the latter in conjunction with autonomic symptoms (p < 0.05). The most frequently abnormal indices, each representing a different physiological basis, were the coefficient of variation, low-frequency and mid-frequency power spectrum at rest, mean circular resultant, postural change in systolic blood pressure, and, in particular, the max/min 30:15 ratio and Valsalva ratio. CADN, defined as the presence of > or = 3 abnormalities among these seven parameters was detected in none of 120 control subjects, 13.0% of the patients without peripheral neuropathy, 34.4% of those with subclinical neuropathy, 49.3% of those with symptomatic peripheral neuropathy, and in 100% of the subjects with the latter and concomitant autonomic symptoms (p < 0.05). The overall prevalence of CADN in 103 patients completing all parameters was 46.6%. The corresponding rate of CADN defined as > or = 2 abnormalities among the five tests included in an optimized version of the battery proposed by Ewing and Clarke was 38.8%.(ABSTRACT TRUNCATED AT 250 WORDS)

Adolescent↗
PubMed1999

Diurnal variation of autonomic nervous activity in the rat: investigation by power spectral analysis of heart rate variability.

We studied the diurnal variations of autonomic nervous function in rats. For this purpose, a long-term electrocardiogram (ECG) was recorded from conscious and unrestrained rats using a telemetry system, and the autonomic nervous function was investigated by the power spectral analysis of heart rate variability. No arrhythmias were observed in the ECG of any of the rats. Nocturnal patterns, in which the values of heart rate in the dark phase (2000-0600) were higher than those in the light phase (0600-2000), were observed. All normal rats shared a characteristic pattern in their power spectrum analysis. Both low-frequency and high-frequency power in the light phase were higher than those in the dark phase. However, these differences were not statistically significant (P > .05). The low frequency to high frequency ratio also showed a nocturnal pattern. The value in the dark phase was significantly higher (P < .05) than that in the light phase. These results suggest that the sympathetic nervous activity is predominant in the dark phase in rats. Therefore, we believe that this information may be useful for future biobehavioral studies.

Animals↗
PubMed1988

Spectral analysis of heart rate variability in the assessment of autonomic diabetic neuropathy.

We studied heart rate variability in 49 uncomplicated diabetics (27 with insulin therapy; 22 with oral hypoglycemic agents) and in 40 age-matched controls. An automatic autoregressive algorithm was used to compute the power spectral density (PSD) of beat by beat RR variability derived from the surface ECG. The PSD contains two major components (a low frequency approximately 0.1 Hz (LF) and a high frequency, respiratory linked, approximately 0.25 Hz (HF] that provide, respectively, quantitative markers of sympathetic and vagal modulatory activities and of their balance. As compared to controls, in diabetics, besides a reduced RR variance at rest (2722 +/- 300 and 1436 +/- 241 ms2, respectively), we observed during passive tilt an altered response of spectral indices of sympathetic activation and vagal withdrawal, suggestive of a complex modification in the neural control activities. In addition, we compared this approach to the commonly used clinical tests score, and observed that the latter provides overall results similar to those obtained with spectral changes induced by tilt (r = 0.42; P less than 0.01). Of potential clinical importance is that the data obtained with spectral analysis appear more thoroughly quantifiable and do not require the active collaboration of the patients.

Adolescent↗
PubMed1999

Influence of training on autonomic nervous function in horses: evaluation by power spectral analysis of heart rate variability.

We studied the influence of training on autonomic nervous function in the horse. For this purpose, Holter electrocardiogram (ECG) was recorded before and after training from 24 Thoroughbred horses (2-year-olds) and autonomic nervous function was evaluated by the power spectral analysis of heart rate (HR) variability. We obtained HR, low-frequency (LF) power, high-frequency (HF) power, and LF/HF ratio from recording. We set LF at 0.01-0.07 Hz and HF at 0.07-0.6 Hz. The HF power is thought to reflect primarily parasympathetic nervous function. Both the sympathetic and parasympathetic nervous systems have been shown to contribute to the LF power. The LF/HF ratio is considered as an index of the cardiac sympathovagal balance. Second degree atrioventricular blocks were found in the ECG of 3 and 5 horses before and after the training period, respectively. Ventricular premature depolarisations were detected in a horse after the training period. Heart rate decreased at night. The lowest HR values had a tendency to appear in the early morning. Both the LF and HF power tended to be higher at night. However, the LF/HF ratio was almost the same throughout the day. The HR was significantly decreased by training. Although the LF power and LF/HF ratio were significantly increased, the HF power was not changed by training. These results suggest that parasympathetic nervous activity may be fully activated even before training in this species.

Animals↗
PubMed1986

The muscle activity spectrum: spectral analysis of muscle force as an estimator of overall motor unit activity.

Starting from the observation that the part above 6 Hz of the power spectrum of force tremor during isometric contractions can be related to the unfused twitches of motor units firing asynchronously, an attempt was made to study the usefulness of force tremor spectral analysis as a global descriptor of motoneurone pool activity. To compensate for the mechanical low-pass filter characteristic of skeletal muscle which leads to increased damping of mechanical ripples at higher frequencies, a numerical compensation rule was derived from data obtained by electrical microstimulation of small ensembles of motor units (MUs). Hidden line plots of consecutive partially overlapping spectra allowed visualization of changes in spectral composition during ongoing muscle activity. The resulting muscle activity spectra (MAS) showed broad peaks according to the range of onset firing rates in normal subjects. These tended to shift to higher frequencies with increasing force. Under conditions with increased synchronization of the MUs these broad peaks were replaced by sharp peaks corresponding to the burst repetition rate. Patients with different motor dysfunctions were selected to illustrate how alterations of MU activity are reflected in the MAS. Decreased or increased firing rates were observed as well as abnormal states of synchronization. It is concluded that the MAS provides useful information about some aspects of the discharge characteristics of ensembles of MUs and therefore represents a method to monitor some qualitative 'image' of the MU activities within a muscle.

Adolescent↗