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At least 235 records · Page 13Linked to original sources
PubMed1990

Adaptive smoothing: an improved method for spectral analysis and its application to seizure EEG.

We describe the data adaptive smoothing method, an improved method for multichannel spectral analysis of seizure EEG. After Fast Fourier Transform of EEG data, spectra were computed by smoothing over adjacent frequency components. Using cross-validatory maximum likelihood criteria, unsmoothed spectral data were used to select the level of smoothing (spectral window effective bandwidth) required to minimize bias and variance errors. The statistical assumptions of this method are consistent with the statistical properties of seizure EEG. On computer simulation of seizure EEG, the smoothing level predicted by this method correlates strongly with the optimum smoothing level. The utility of the method is demonstrated by application to seizure EEG. The consistency of the method's statistical assumptions, the success in selection of the optimum smoothing level, and the variability in optimum smoothing required for seizure EEG suggest that the adaptive smoothing method is a useful method for multichannel spectral analysis.

Electroencephalography↗
PubMed1986

Spectral and cross-spectral analysis of heart rate and arterial blood pressure variability signals.

A parametric method for autoregressive (AR) auto- and cross-spectral analysis is presented for the contemporaneous processing of heart rate and arterial blood pressure variability signals. In particular, the introduced bivariate spectral analysis (phase and coherence spectra) provides quantitative and objective means which are useful to measure the role played by the neural controlling systems (sympathetic and parasympathetic systems) on the cardiovascular signals under different pathophysiological conditions. Algorithmic aspects, connected to the way of processing discrete numerical series synchronized to single cardiac beats, are particularly stressed. Important applications are foreseen both in physiological studies and in clinical practice as an aid to the detection of various relevant cardiovascular pathologies such as hypertension and diabetes.

Blood Pressure↗
PubMed1998

Characterisation of coronary atherosclerotic morphology by spectral analysis of radiofrequency signal: in vitro intravascular ultrasound study with histological and radiological validation.

OBJECTIVE: To determine whether spectral analysis of unprocessed radiofrequency (RF) signal offers advantages over standard videodensitometric analysis in identifying the morphology of coronary atherosclerotic plaques. METHODS: 97 regions of interest (ROI) were imaged at 30 MHz from postmortem, pressure perfused (80 mm Hg) coronary arteries in saline baths. RF data were digitised at 250 MHz. Two different sizes of ROI were identified from scan converted images, and relative amplitudes of different frequency components were analysed from raw data. Normalised spectra was used to calculate spectral slope (dB/MHz), y-axis intercept (dB), mean power (dB), and maximum power (dB) over a given bandwidth (17-42 MHz). RF images were constructed and compared with comparative histology derived from microscopy and radiological techniques in three dimensions. RESULTS: Mean power was similar from dense fibrotic tissue and heavy calcium, but spectral slope was steeper in heavy calcium (-0.45 (0.1)) than in dense fibrotic tissue (-0.31 (0.1)), and maximum power was higher for heavy calcium (-7.7 (2.0)) than for dense fibrotic tissue (-10.2 (3.9)). Maximum power was significantly higher in heavy calcium (-7.7 (2.0) dB) and dense fibrotic tissue (-10.2 (3.9) dB) than in microcalcification (-13.9 (3.8) dB). Y-axis intercept was higher in microcalcification (-5.8 (1.1) dB) than in moderately fibrotic tissue (-11.9 (2.0) dB). Moderate and dense fibrotic tissue were discriminated with mean power: moderate -20.2 (1.1) dB, dense -14.7 (3.7) dB; and y-axis intercept: moderate -11.9 (2.0) dB, dense -5.5 (5.4) dB. Different densities of fibrosis, loose, moderate, and dense, were discriminated with both y-axis intercept, spectral slope, and mean power. Lipid could be differentiated from other types of plaque tissue on the basis of spectral slope, lipid -0.17 (0.08). Also y-axis intercept from lipid (-17.6 (3.9)) differed significantly from moderately fibrotic tissue, dense fibrotic tissue, microcalcification, and heavy calcium. No significant differences in any of the measured parameters were seen between the results obtained from small and large ROIs. CONCLUSION: Frequency based spectral analysis of unprocessed ultrasound signal may lead to accurate identification of atherosclerotic plaque morphology.

Calcinosis↗
PubMed1992

[Assessment of autonomic function by the spectral analysis of heart rate variability: an examination in a mirror drawing task].

The effect of an experimental task on autonomic function was investigated by spectral analysis of heart rate variability in 13 male college students. Power spectral density of heart rate variability has been said to contain two significant components: respiratory sinus arrhythmia (RSA) as an index of cardiac vagal activity, and Mayer wave related sinus arrhythmia (MWSA) as an index of sympathetic activity with vagal modulation. Those two components were examined during a task of mirror drawing on the CRT. In order to eliminate the effect of respiratory rate on RSA, the respiratory rate was controlled at 15 breaths/min. Furthermore, the coefficient of variance of R-R interval (CV-RR) and the fluctuation of plethysmograph (PTG) were calculated simultaneously. Results indicated that, while RSA decreased significantly, MWSA did not change during the task. On the other hand, neither CV-RR nor PTG showed any significant differences during the task. These findings indicated that cardiac parasympathetic activity was diminished in the mirror drawing task. The significance of spectral analysis of heart rate variability were discussed.

Adult↗
PubMed1993

Moment analysis of EEG amplitude histograms and spectral analysis: relative classification of several behavioral tasks.

Previous studies indicate that EEG amplitude probability density functions are Gaussian (normal) during rest and non-Gaussian during performance of mental tasks. In the present study we compared measures of normality, including higher central moments (e.g., skewness, kurtosis) and relative spectral power, to classify data sampled from several different behavioral tasks (resting eyes closed and mental arithmetic). Analysis shows significant classification in 22 of 25 subjects, based upon a total of 46 EEG variables. However, only two of these variables involved Gaussian properties of the amplitude distribution. Relative spectral power, on the other hand, contributed 33 predictor variables in delta, theta, alpha, and beta frequency bands (alpha was the best single predictor). These results lend support to studies demonstrating the robustness of EEG relative spectra but cast doubt upon the utility of Gaussian patterns in EEG amplitude distributions as predictors of behavioral states.

Adult↗
PubMed2003

Utility of oxygen saturation and heart rate spectral analysis obtained from pulse oximetric recordings in the diagnosis of sleep apnea syndrome.

OBJECTIVES: We prospectively evaluate the spectral characteristics of nocturnal arterial oxygen saturation (SaO(2)) and heart rate variability obtained from pulse oximetric recording as a diagnostic test for obstructive sleep apnea (OSA). SUBJECTS AND MEASUREMENTS: Three hundred referred outpatients with symptoms compatible with the diagnosis of OSA were studied using nocturnal pulse oximetric recording performed simultaneously with polysomnography. Power spectral analysis of SaO(2) and heart rate data were analyzed using fast Fourier transformation of a Hamming-windowed signal. DESIGN AND RESULTS: Recording test results were classified as abnormal (suspicion of OSA) if the periodogram showed a peak in the period 30 to 70 s in either of the signals. A normal test result was defined as the absence of this peak in the periodogram in both signals. Two independent observers performed a single-blind evaluation. The total area of the periodogram (STOT), the ratio of the area enclosed in the periodogram within the period 30 to 70 s (S(30-70)), the ratio of the area enclosed in the periodogram within the period 30 to 70 s with respect to the total area of the periodogram (S), and the peak amplitude of the periodogram in the period 30 to 70 s (PA) were measured in both signals. The presence of a peak in the periodogram in either of the signals has a sensitivity of 94%, a specificity of 82%, a positive predictive value of 87%, and a negative predictive value of 92% with respect to the OSA diagnosis. The patients in the OSA group had higher values for STOT, S(30-70), S, and PA than the group without OSA. CONCLUSIONS: SaO(2) and heart rate spectral analysis obtained by nocturnal pulse oximetry as well as the identification of a peak within 30 to 70 s in either signal could be useful as a diagnostic technique for patient with OSA.

Adult↗
PubMed1990

Power spectral analysis of the EEG of term infants following birth asphyxia.

The aim of this pilot study was to perform power spectral analysis of the EEGs of term infants following birth asphyxia, to establish its value as a prognostic indicator. 16 term infants were studied over an 18-month period. Power spectral analysis was performed on the EEGs of babies with signs of hypoxic-ischaemic encephalopathy at regular intervals during the first five days of life. It showed distinct changes following birth asphyxia, which were related to the eventual outcome of the babies. Absolute power was significantly reduced in the babies with poor outcome compared with those with good outcome, particularly in the delta bands.

Asphyxia Neonatorum↗
PubMed2005

Power spectral analysis of heart rate variability as a predictive test in choosing the most effective length for tilt-training.

BACKGROUND: In patients with refractory neurally mediated syncope, tilt training--standing motionless against a wall for increased periods of time per day over one month--can often eliminate recurrent episodes and reduce presyncopal symptoms. We designed dual retrospective and prospective studies to assess cardiovascular autonomic function in subjects with recurrent syncope and identify the most effective length of tilt training between one and three months. METHODS AND RESULTS: In the retrospective study, before tilt training, and in the prospective study, before and after training, all subjects underwent a recording for short-term spectral analysis of heart rate and systolic blood pressure variability. Before tilt-training, autonomic nervous system function differs in patients with recurrent neurally mediated syncope who respond to tilt training for one month and those who do not. "Responders", patients experiencing no episodes of syncope during the 12-month follow-up, had higher low-frequency power of RR (LF(RR)) (p < 0.05) and LF(RR) in normalized units (NU) (p < 0.001) and lower high-frequency power (HF(RR)) (p < 0.05) and HF(RR)NU (p < 0.001) than "non-responders", patients reporting at least one syncopal episode during the 12-month follow-up. In the retrospective study, no difference was found between spectral data for "non-responders" with positive responses to tilt test with and without nitro derivatives. Prolonging tilt-training to three months increased the number of responders (late-responders) by 80% (p < 0.001) and power spectral analysis of heart rate variability (HRV) before tilt training can identify late-responders by their low LF(RR)NUs (<40) and high HF(RR)Nus (>60). Furthermore in late-responders, tilt training brings about a change in cardiovascular autonomic function: at 3 months, LF(RR)NUs increase and HF(RR)NU diminish. CONCLUSION: Power spectral analysis of HRV seems to be a useful tool to preselect patients who are most likely to benefit from prolonged therapy, thus increasing compliance.

Adult↗
PubMed2004

Spectral analysis of the heart rate variability in sleep.

Spectral analysis of heart rate variability (HRV) during overnight polygraphic recording was performed in 11 healthy subjects. The total spectrum power, power of the VLF, LF and HF spectral bands and the mean R-R were evaluated. Compared to Stage 2 and Stage 4 non-REM sleep, the total spectrum power was significantly higher in REM sleep and its value gradually increased in the course of each REM cycle. The value of the VLF component (reflects slow regulatory mechanisms, e.g. the renin-angiotensin system, thermoregulation) was significantly higher in REM sleep than in Stage 2 and Stage 4 of non-REM sleep. The LF spectral component (linked to the sympathetic modulation) was significantly higher in REM sleep than in Stage 2 and Stage 4 non-REM sleep. On the contrary, a power of the HF spectral band (related to parasympathetic activity) was significantly higher in Stage 2 and Stage 4 non-REM than in REM sleep. The LF/HF ratio, which reflects the sympathovagal balance, had its maximal value during REM sleep and a minimal value in synchronous sleep. The LF/HF ratio significantly increased during 5-min segments of Stage 2 non-REM sleep immediately preceding REM sleep compared to 5-min segments of Stage 2 non-REM sleep preceding the slow-wave sleep. This expresses the sympathovagal shift to sympathetic predominance occurring before the onset of REM sleep. A significant lengthening of the R-R interval during subsequent cycles of Stage 2 non-REM sleep was documented, which is probably related to the shift of sympathovagal balance to a prevailing parasympathetic influence in the course of sleep. This finding corresponds to a trend of a gradual decrease of the LF/HF ratio in subsequent cycles of Stage 2 non-REM sleep.

Adolescent↗
PubMed1998

Spectral analysis of electroencephalography changes after choking in judo (juji-jime).

PURPOSE: The present study was carried out to investigate possible electroencephalographic changes induced by choking in judo (shime-waza) by means of spectral analysis and brain mapping. METHODS: Power spectral changes in Electroencephalography (EEG) were recorded in six experienced judoka who underwent a choking trial with a "shime-waza choking" technique called juji-jime. RESULTS: A significant increase of global field power in the delta- and theta-range occurred, while physiological alpha-power decreased. These changes in the low-frequency range reached a statistically significant level within a time span up to 20 s after choking, which was performed at an average choking time of 8 s. In no case did choking provoke neuropsychological symptoms. Yet, spectral EEG-analysis revealed subclinical changes of brain function. CONCLUSIONS: Choking in judo may induce subclinical electroencephalographic perturbations. The extent and duration can be objectified by means of spectral analysis of EEG data, global field power computation, and brain-mapping representation.

Airway Obstruction↗
PubMed1986

Robust spectral analysis of the EEG.

Robust methods for the spectral analysis of time series are briefly reviewed and seen to have applications in the field of EEG. After presenting two simple schemes for outliers (artifacts) generation and discussing their implications for estimation of the spectral density, the robust filtering algorithm of Kleiner et al. [J.R. Statist. Soc. Ser. B, 41: 313-351, 1979] is introduced and shown to work well for simulated data and for true EEG data containing artifacts. A new use of the robust methods for the detection of artifacts and possibly other transients in long-time EEG recordings is suggested and a preliminary implementation illustrated.

Electroencephalography↗
PubMed2006

Single particle high resolution spectral analysis flow cytometry.

BACKGROUND: While conventional multiparameter flow cytometers have proven highly successful, there are several types of analytical measurements that would benefit from a more comprehensive and flexible approach to spectral analysis including, but certainly not limited to spectral deconvolution of overlapping emission spectra, fluorescence resonance energy transfer measurements, metachromic dye analysis, free versus bound dye resolution, and Raman spectroscopy. METHODS: Our system utilizes a diffraction grating to disperse the collected fluorescence and side-scattered light from cells or microspheres passing through the interrogation region over a rectangular charge-coupled-device image sensor. The flow cell and collection optics are taken from a conventional flow cytometer with minimal modifications to assure modularity of the system. RESULTS: Calibration of the prototype spectral analysis flow cytometer included wavelength characterization and calibration of the dispersive optics. Benchmarking of the system demonstrated a single particle/cell intensity sensitivity of 2160 MESF of R-Phycoerythrin. Single particle spectra taken with our instrument were validated against bulk solution fluorimeter and conventional flow cytometer measurements. Coefficients of variation of integrated spectral fluorescence intensity of several sets of standard fluorescent microspheres ranged from 1.4 to 4.8% on the spectral system. Spectral discrimination of free versus PI bound to cells is also demonstrated. CONCLUSIONS: It is demonstrated that the flow spectrometer has sufficient sensitivity and wavelength resolution to detect single cells and microspheres, including multi-fluorophore labeled microspheres. The capability to use both standard mathematical deconvolution techniques for data analysis, coupled with the feasibility of integration with existing flow cytometers, will improve the accuracy and precision of ratiometric measurements, enable the analysis of more discrete emission bands within a given wavelength range, and allow more precise resolution of the relative contribution of individual fluorophores in multiply-tagged samples, thereby enabling a range of new applications involving the spectral analysis of single cells and particles.

Calibration↗
PubMed2001

[The novel method for selection of preparations for treatment of arterial hypertension based on spectral analysis of heart rhythm variability].

AIM: To study spectral characteristics of heart rhythm in patients with arterial hypertension (AH) to select medication for hypertension and control over the treatment efficacy. MATERIAL AND METHODS: 35 AH patients were examined with general clinical methods and using spectral analysis of variability of heart rhythm (VHR). Five spectrograms were registered. Each of them contained three peaks: very low, low and high frequencies (VLF, LF and HF, respectively). Normal values of VLF, LF and HF were estimated on the basis of spectral values obtained in healthy subjects. After registration of spectral values all the patients were given at first placebo, than enalapril, one day after its discontinuation--mifedipine. At each stage VHR was recorded. Changes in the spectral indices were compared to changes in clinical symptoms. RESULTS: VLF proved most important for a rapid choice of adequate antihypertensive therapy. CONCLUSION: Normalization of VLF, LF and HF indicates adequacy of the choice of antihypertensive treatment.

Adrenergic beta-Antagonists↗
PubMed1996

Spectral analysis of arterial pressure variability during induction of propofol anesthesia.

We studied the effect of continuous infusion of propofol on spectral components in systemic arterial pressure (SAP) signals in 35 consenting patients undergoing abdominal surgery. Anesthesia was induced with intravenous bolus administration of propofol (2.0 mg/kg), followed by infusion at either 5 mg.kg-1.h-1 (Group 1, n = 18) or 10 mg.kg-1.h-1 (Group 2, n = 17). Tracheal intubation was facilitated by administration of vecuronium (0.1 mg/kg). The SAP signal was subjected to off-line spectral analysis to obtain changes in power of the very low frequency (VLF; 0.00-0.08 Hz), low frequency (LF; 0.08-0.15 Hz), high frequency (0.15-0.25 Hz); and very high frequency (VHF; 0.80-1.60 Hz) components. Venous blood for the measurement of plasma concentration of propofol was collected at 5 min before bolus injection of propofol; at 5, 10, and 15 min after infusion of propofol; and immediately after endotracheal intubation. Infusion of propofol significantly decreased the total power of SAP spectrum in both groups, especially the VLF, LF, and VHF components at all intervals except postintubation. Immediately after tracheal intubation, patients in Group 1 showed a significant increase in mean arterial pressure when compared with those in Group 2 (118 +/- 5 mm Hg vs 102 +/- 5 mm Hg, P < 0.05). Similar change was also seen in the VLF component (7.4 +/- 0.7 mm Hg2 vs 4.4 +/- 0.5 mm Hg2, P < 0.05). After tracheal intubation, patients in Group 1 showed 15.7-, 3.3-, and 4.4-fold increase in the VLF, LF, and VHF components, respectively. There were 14.1-, 2.8-, and 2.8-fold increases in the respective components of the SAP signal in Group 2. At all intervals, the spectral components of SAP, however, did not correlate well with the plasma concentration of propofol in either group. These results suggest that spectral analysis of SAP signals may provide an alternative for assessing autonomic activities, such as the sympathetic response, to tracheal intubation during propofol anesthesia.

Abdomen↗
PubMed1982

[Spectral analysis of finger photoelectric plethysmogram in its relation to emotion: visual display of baseline deflection and pulse wave].

The present study applied spectral analysis of finger photoelectric plethysmogram (PTG) to describe the emotional factor involved in baseline deflection of PTG. Using 23 normal male students as subjects, PTG was measured under rest, verbal instruction, and electric shock conditions. PTG spectral analysis via fast Fourier transform was carried out on the consecutive 10 X 9 ms X 1 024 points X 4(398.64 s) samples in each condition with frequency resolution at 0.0109 Hz. In the analysis of power spectra, two distinct power peaks were observed in all conditions; below 0.3 Hz and around 1.0 Hz. It was confirmed that the former was baseline deflection and the latter was heart beat component. There were no differences in each peak frequency among conditions. Whereas peak power below 0.3 Hz tended to increase all through verbal instruction and electric shock conditions as compared to rest one. These results were discussed in relation to anxiety involved in emotion.

Adult↗
PubMed2000

Spectral analysis of systemic arterial pressure and heart rate signals of patients with acute respiratory failure induced by severe organophosphate poisoning.

OBJECTIVE: Spectral analysis of systemic arterial pressure (BP) and heart rate (HR) signals may be an alternative prognostic tool for predicting patient outcome in the intensive care unit (ICU). We evaluated the applicability of the same analysis in the emergency department for predicting mortality in patients with acute respiratory failure induced by severe organophosphate poisoning. DESIGN: Prospective collection of data from 14 emergency service patients. SETTING: Emergency service at a large, university-affiliated medical center. PATIENTS: Consecutive patients who, after attempting suicide by ingesting organophosphates, were admitted to the ICU of the emergency service with acute respiratory failure and remained for > or =2 days INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Demographic and survival data and day 1 Acute Physiology and Chronic Health Evaluation (APACHE) II and Glasgow Coma Scale scores were recorded. Continuous, on-line, real-time spectral analysis of BP and HR signals was carried out during the first 12 hrs after admission. We then computed the total sum of power density during this period of the low-frequency (0.04-0.15 Hz) and very low-frequency (0.004-0.04 Hz) components in the BP and HR spectra, along with the averaged values of mean BP and HR. Eight patients who recovered exhibited vigorous power in the low-frequency and very low-frequency components of their BP and HR signals. There was a significant reduction in the power density of those four spectral components in three patients who eventually died. Three patients discharged in a vegetative state manifested significantly reduced power in the low-frequency component in their BP spectra, with maintained power in the other three spectral components. APACHE II and Glasgow Coma Scale scores of the recovered patients were discernibly different from those of patients who eventually died or who became vegetative. None of the 14 patients showed appreciable differences in mean BP, mean HR, erythrocyte or plasma cholinesterase concentration, or atropine requirement during the first 24 hrs. CONCLUSION: The low-frequency and very low-frequency components of BP and HR signals may be a sensitive alternative index for early prediction of mortality in patients with acute respiratory failure induced by severe organophosphate poisoning.

Acute Disease↗
PubMedDate not supplied

Spectral analysis of the normal electrocardiogram of rabbits.

A spectral analysis of the QRS complex of the rabbit's electrocardiogram was made. The amplified ECG signals were filtered through low-pass filters with cut-off frequency 500 Hz and steepness 12 dB/oct, and fed to a multichannel oscilloscope monitor. The images obtained were photographed. They were subjected to analog-to-digital conversion. The values were fed for processing to an EC 1035 computer. A standard discrete Fourier transformation was used. The spectral curve exhibited a considerable amplitude of the higher harmonics. Point -20 dB was at 164 Hz and point -30 dB was at 314 Hz. It was concluded that for accurate reproduction of the rabbit's ECG the recording electrocardiograph would have a bandwidth up to 225 Hz. An amplitude error not exceeding 10 per cent would be guaranteed.

Animals↗
PubMed1996

A novel method for the assessment of autonomic neuropathy in type 2 diabetic patients: a comparative evaluation of 123I-MIBG myocardial scintigraphy and power spectral analysis of heart rate variability.

The correlation between the degree of sympathetic denervation measured through 123I-MIBG Myocardial Scintigraphy and Power Spectral Analysis of consecutive R-R records was investigated in order to evaluate their potential application for the assessment of myocardial autonomic neuropathy in patients with diabetes mellitus. This study comprised 42 patients with Type 2 diabetes. Low frequency (0.02-0.09 Hz) components of the power spectral density were measured as markers of sympathetic activity. The myocardial uptake of 123I-MIBG was measured by using the single photon emission computed tomography (SPECT) and the early and delayed images were recorded. Scoring from 0 to 3 of the 123I-MIBG uptake of various cardiac segments (7) was performed and the total uptake was calculated. The washout rate in the whole myocardium was determined. The values obtained in the group with diabetic autonomic neuropathy (DAN) without orthostatic hypotension (OH) were significantly lower as compared to those of the (DAN (-)) group in the delayed images. The washout rate of the OH (-) group was also significantly higher than the DAN (-) group. There was significant difference between the images and the washout rate of OH (+) and OH (-) groups. There was a significant correlation between Power Spectral Analysis and SPECT (early, delayed images, and washout rate). Of these, the delayed image showed the strongest correlation (r = 0.55, p < 0.01). Further, the QTc interval showed a significant inverse correlation with the delayed image (r = -0.44, p < 0.05). In conclusion, these results suggest that the cardiac 123I-MIBG scintigraphy could be a useful method for the assessment of the myocardial autonomic neuropathy in patients with diabetes mellitus.

3-Iodobenzylguanidine↗