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Local spectral analysis in the visual cortex.

On the basis of experimental evidence presented earlier a model of local spectral analysis of the image performed by the complex receptive fields of the visual cortex has been proposed. An essential feature of the model is that the generalized piece-wise Fourier transform is performed not over the image luminance function but over the logarithm contrast function resulted from analysis of the image by the round receptive fields of the preceding levels. Such an assumption removes a number of experimental objections offered against the hypothesis of two-dimensional Fourier transform in the visual system. The consequences from the piece-wise expansion in a series of basic functions have been considered and among them: the channel frequency characteristics which can have more than one maximum; the possibility of describing the image by a limited number of channels with overlapping frequency characteristics; the existence of mechanisms for estimation of phase shift between frequencies.

Models, Neurological↗

Spectral analysis of Doppler ultrasonic flow signals by a personal computer.

This paper describes a method of performing spectral analysis on Doppler acoustical signals from peripheral blood vessels with the use of an Apple II plus personal computer. Digitization is accomplished with a commercially available analog-to-digital converter. The data are transformed with a fast Fourier technique, and the resultant information is plotted by an inexpensive X-Y plotter and/or on a television receiver.

Blood Vessels↗

A novel fluorescence imaging technique combining deconvolution microscopy and spectral analysis for quantitative detection of opportunistic pathogens.

A novel fluorescence imaging technique based on deconvolution microscopy and spectral analysis is presented here as an alternative to confocal laser scanning microscopy. It allowed rapid, specific and simultaneous identification of five major opportunistic pathogens, relevant for public health, in suspension and provided quantitative results.

Bacteria↗

Use of heart rate spectral analysis to study the effects of calcium channel blockers on sympathetic activity after myocardial infarction.

We used spectral analysis of heart rate variability (HRV) to study the effects of the calcium channel blockers diltiazem and nifedipine and the beta-blocker metoprolol on the sympathetic nervous system in patients following myocardial infarction. Energy in the low-frequency range (0.04 to 0.12 Hz) in the standing (tilt) position was used as a quantitative index of sympathetic activity. Twenty-seven male patients, mean age 62 +/- 13 years, were studied 2 to 6 weeks after myocardial infarction. Eight patients received metoprolol, 100 mg twice daily; nine patients received diltiazem, 60 mg three times daily; and 10 patients received nifedipine, 10 mg three times daily. HRV and arterial blood pressure were recorded before and 5 to 7 days after initiation of therapy. None of the drugs had significant effects on the systolic blood pressure, and only nifedipine significantly reduced the diastolic blood pressure. Metoprolol and diltiazem reduced the low-frequency HRV in all patients studied, but nifedipine had no consistent effects. Our results suggest that diltiazem had a depressant effect on sympathetic activity similar to beta-adrenergic blockers. This effect was not observed with nifedipine. The reduction in sympathetic activity by diltiazem may contribute to its therapeutic effects in the post-infarction period.

Adult↗

Power spectral analysis of heart rate variability in a horse with atrial fibrillation.

This study has demonstrated the power spectral analysis of heart rate variability in a horse with atrial fibrillation. A large peak in the high frequency (HF) area of the power spectrum appeared in the horse. Hourly heart rate, the low frequency (LF) power, the HF power, and LF/HF ratio were almost constant during the recording period. The values of HF and LF power in the horse with atrial fibrillation were much larger than those in normal horses. The normalized unit of HF (HF n.u.) was much larger than that of LF (LF n.u.). Furthermore, the LF/HF ratio was very small in the horse. These results suggest that the ventricular rhythm has a respiratory related periodicity in the horse with atrial fibrillation and the predominant parasympathetic activity may modulate the intrinsic behavior of the atrioventricular node during atrial fibrillation.

Animals↗

A spectral analysis of function composition and its implications for sampling in direct volume visualization.

In this paper we investigate the effects of function composition in the form g(f(x)) = h(x) by means of a spectral analysis of h. We decompose the spectral description of h(x) into a scalar product of the spectral description of g(x) and a term that solely depends on f(x) and that is independent of g(x). We then use the method of stationary phase to derive the essential maximum frequency of g(f(x)) bounding the main portion of the energy of its spectrum. This limit is the product of the maximum frequency of g(x) and the maximum derivative of f(x). This leads to a proper sampling of the composition h of the two functions g and f. We apply our theoretical results to a fundamental open problem in volume rendering-the proper sampling of the rendering integral after the application of a transfer function. In particular, we demonstrate how the sampling criterion can be incorporated in adaptive ray integration, visualization with multi-dimensional transfer functions, and pre-integrated volume rendering.

Algorithms↗

Spectral analysis of the sleep electroencephalogram during adolescence.

OBJECTIVES: To describe developmental changes of the human sleep electroencephalogram (EEG) during adolescence using EEG spectral analysis and specifically to compare the nocturnal dynamics of slow-wave activity (EEG spectral power 0.6-4.6 Hz, a marker for sleep homeostatic pressure) in prepubertal and mature adolescents. DESIGN: After 10 nights on a fixed 10-hour sleep schedule without daytime naps, participants were studied during a 10-hour baseline night. SETTING: Data were collected in a 4-bed sleep research laboratory. PARTICIPANTS: Eight prepubertal children (pubertal stage Tanner 1; mean age 11.3 years, SD +/- 1.2, 4 boys) and 8 mature adolescents (Tanner 5; mean age 14.1 years, +/- 1.3, 3 boys). INTERVENTIONS: Not applicable. MEASUREMENTS: All-night polysomnography was performed. Sleep stages were scored according to conventional criteria. EEG power spectra (of derivation C3/A2) were calculated using a fast Fourier transform routine. RESULTS: A reduction of non-rapid eye movement (NREM) sleep stage 4 (by 40.1%) and greater amounts of stage 2 sleep (19.7%) were found in mature compared to prepubertal adolescents. NREM sleep EEG power was lower in the frequency ranges < 7 Hz, 11.8 to 12.6 Hz, and 16.2 to 16.8 Hz in mature adolescents. A reduction of rapid eye movement sleep spectral power was present in the frequency ranges < 8.6 Hz and 9.6 to 15 Hz for mature compared to prepubertal adolescents. Slow-wave activity showed identical dynamics within individual NREM sleep episodes and across the night in both developmental groups. CONCLUSIONS: The homeostatic recuperative drive during sleep remains unchanged across puberty. The decline of slow-wave sleep during adolescence may reflect developmental changes of the brain rather than changes of sleep regulatory processes.

Adolescent↗

[Comparative studies of the diagnostic value of various parameters of Doppler frequency spectral analysis of the carotid artery].

Angiographic findings in 94 internal carotid arteries were compared to different parameters of Doppler frequency spectral analysis: systolic and late diastolic peak frequency of the internal carotid artery, ratio of the internal and common carotid systolic and late diastolic peak frequency, spectral broadening as calculated by subtracting internal carotid mean frequency from systolic or late diastolic peak frequency respectively. The normal values were calculated as the 97.5% confidence interval of these parameters in angiographically normal vessels. Specificity, sensitivity, overall accuracy and negative as well as positive predictive value were also calculated. The diagnostic value of the systolic peak frequency of the internal carotid artery proved not to be exceeded by any of the other parameters.

Arterial Occlusive Diseases↗

Colour-coded echographic flow imaging and spectral analysis of cerebrospinal fluid (CSF) in infants. Part II. CSF-dynamics.

41 comprehensive colour Doppler studies (including spectral analysis) of the ventricular system were performed in 6 infants with CSF-flow (age range: 2 to 27 days). Two premature infants showed no evidence of disease related to the central nervous system (CNS). Overt intraventricular hemorrhage or CNS-infection were present in the other infants. All children were examined several times until CSF-flow was no longer visible. The entire ventricular system, including the fourth ventricular outlet, was investigated for the presence of CSF-flow signals. Dynamic CSF-flow studies consisted of scanning during typical infant activity (crying, sucking, leg movement) and with external manoeuvres (abdominal or fontanellar palpation). CSF-flow was found to be: 1. synchronous with respiration 2. induced by rising intraabdominal (retrograde CSF-pulse) and transfontanellar pressure (orthograde CSF-pulse) 3. predominantly within the cerebral aqueduct, but also found at the foramina of Monro, within the third and fourth ventricles and at the foramen of Magendie. CSF-flow was not detected at the foramina of Luschka or within the lateral ventricles, except adjacent to the foramina of Monro. Dynamic CSF-flow as observed in infants may have important clinical and scientific implications. Examples of this are activity-related ventricular "reflux" of bacteria, erythrocytes, drugs, radionuclides or contrast; the importance of CSF-flow pulses for the development or progression of hydrocephalus; flow dynamics at the fourth ventricular outlet foramina and the study of CSF-pulse wave velocity and regional compliance. These issues are discussed and the new diagnostic approach is compared with other methods of CSF-investigation.

Abdomen↗

Power spectral analysis of arterial and central venous pressure signals during graded hemorrhage in anesthetized rats.

Based on simultaneous power spectral analysis of systemic arterial pressure (SAP) and central venous pressure (CVP) signals in rats anesthetized with pentobarbital sodium, we assessed the hypotheses that subtle changes in the SAP spectrum exist during hemorrhagic shock, and that the CVP spectrum is a feasible index for central blood volume during acute graded blood loss. During Stage I hemorrhagic shock seen after reduction in 10% of total blood volume (TBV), there was a significant increase in the power of both the very low frequency (VLF, 0-.25 Hz) and low frequency (LF, .25-.8 Hz) components, along with a moderate decrease in the very high frequency (VHF, 5-9 Hz) component, of SAP signals. Substantial reduction in VLF, LF, and VHF components in the SAP spectrum occurred after a blood loss of 25% of TBV (Stage II), which persisted during Stage III hemorrhagic shock when the withdrawn blood reached 50% of TBV and the mean SAP maintained at 40 mm Hg. The depressed SAP-VLF and SAP-LF components sustained the period of spontaneous recovery and subsequent retransfusion of shed blood, although the power of SAP-VHF component gradually elevated during these two periods. The power of the high-frequency (HF, .8-2.4 Hz) component of SAP signals increased discernibly only during Stage III, became significant on spontaneous recovery, and declined during retransfusion. Although CVP and CVP-VHF component progressively declined, the power of the CVP-HF component manifested a gradual increase that was significantly and reversely correlated with the reduction in TBV. We conclude that differential changes in individual components of the SAP spectrum occur during hemorrhagic shock, and that the CVP-HF component may be a reliable indicator for central blood volume during acute graded blood loss.

Algorithms↗

Spectral analysis of cervical cells using the discrete Fourier transform.

This paper contains results from a preliminary study of spectral analysis techniques applied to the classification of cervical cells from routinely prepared Papanicolaou cervical smears. Experiments were conducted using a subset of 110 normals and 110 dyskaryotic single cell images randomly selected from a larger cell image data base. An assessment was made of the contribution of different regions within a cell image to the frequency spectrum. Three image sets were used, the original image itself plus two derived from it. In the first derived set, only nuclear size and shape were used. In the second set nuclear morphology and texture were included. Nuclear masking was performed using an interactive segmentation procedure. The discrete Fourier transform was applied to each image in the three image sets and classification experiments were performed using 80 features derived from the frequency spectra. An optimum set of features was selected for each experiment by canonical analysis. Good classification results were obtained when features extracted solely from nuclear shape were used. The inclusion of information relating to nuclear texture improved the results. However, inclusion of the extra nuclear region degraded the classifier's ability to discriminate between cell groups.

Cervix Uteri↗

Estimation of pulmonary artery pressure by spectral analysis of the second heart sound.

The objective of the present work was to test and validate a noninvasive method based on spectral analysis of the second heart sound (S2) to estimate the pulmonary artery (PA) systolic pressure in 89 patients with a bioprosthetic heart valve. The technique was compared with continuous-wave Doppler estimation of PA systolic pressure in these patients. The heart sounds recorded at the pulmonary area on the chest wall were digitized by computer. The spectra of S2 and those of the aortic (A2) and the pulmonary (P2) components of S2 were computed with a fast-Fourier transform. Seven features were extracted from these spectra. The statistical analysis performed with the Pearson linear correlation coefficient showed that the best estimation of PA systolic pressure obtained by spectral phonocardiography (r = 0.84, SEE +/- 5.6 mm Hg, p <0.0001) was provided by the following equation: PA systolic pressure = 47 + 0.68 Fp - 4.4 Qp - 17 Fp/Fa - 0.15 Fs, where Fs and Fp are dominant frequencies associated with the maximal amplitude of the power spectra of S2 and P2, respectively, Qp is the quality of resonance of P2, and Fp/Fa is the ratio of the dominant frequencies of P2 and A2, respectively.

Adult↗

Evaluation of mastication-induced change in sympatho-vagal balance through spectral analysis of heart rate variability.

Mastication modulates the autonomic nervous activity of the digestive glands and the heart. The autonomic nervous balance is evaluated with spectral analysis of heart rate variability. In the present study, we investigated the effects of mastication of chewing gum base on heart rate variability to clarify the role of mastication in the sympatho-vagal balance for the regulation of the heart rate. Mastication of a chewing gum base stimulated the salivary secretion and shortened the R-R intervals in the electrocardiogram of healthy young subjects without swallowing of saliva at a fixed rate of respiration. Based on the analysis of heart rate variability, mastication increased the low-frequency band spectral power (LF), and decreased the high-frequency band spectral power (HF). The LF/HF was markedly increased by the mastication. Mastication enhances the sympathetic nervous activity and/or suppresses the parasympathetic nervous activity for the heart. Feeding behaviour with mastication might play a role in the modulation of the autonomic nervous activity.

Adult↗

Generalized neural networks for spectral analysis: dynamics and Liapunov functions.

This paper analyzes local and global behavior of several dynamical systems which generalize some artificial neural network (ANN) semilinear models originally designed for principal component analysis (PCA) in the characterization of random vectors. These systems implicitly performed the spectral analysis of correlation (i.e. symmetric positive definite) matrices. Here, the proposed generalizations cover both nonsymmetric matrices as well as fully nonlinear models. Local stability analysis is performed via linearization and global behavior is analyzed by constructing several Liapunov functions.

Algorithms↗

High resolution spectral analysis of plasma adrenocorticotropin reveals a multifactorial frequency structure.

Time series of plasma ACTH concentrations were analyzed with a high resolution spectral analysis program based on digital Fourier transforms. Both coherent signal and stochastic aspects of the time series were analyzed. Samples were collected at 2- and 15-min intervals in control rats and rats immunoneutralized against CRH. The individual and composite spectral distributions revealed significant structure at both the higher and lower ranges of frequencies studied, with multiple periodicities between 4-220 min in both groups. CRH immunoneutralization consistently reduced the amplitude by 82% and compressed the frequency distribution for waveforms with periods longer than 15 min by 23%. A systematic break in the slopes of the background continua occurred between 10 and 15 min in the 2-min time series. This break was unaffected by CRH immunoneutralization. Digital Fourier transform analysis of our ACTH time series suggests a system with a more complex high frequency structure than has previously been appreciated. Our analyses suggest a biological system with the following characteristics: 1) both a fast and a slow response to a fairly constant unspecified fast forcing; 2) the slow response is initiated by the fast response and represents an imperfect integration due to feedback processes; 3) CRH alters the ability of the fast forcing to elicit a slow response without altering the fast response or ACTH clearance; and 4) this alteration consists of both amplitude and frequency modulation in the signal output. This view of ACTH secretion suggests an adaptive and energy-efficient system.

Adrenocorticotropic Hormone↗

Power spectral analysis of the electroencephalogram during increasing end-expiratory concentrations of isoflurane, desflurane and sevoflurane.

We studied the effects of increasing end-expiratory concentrations of isoflurane (0.3, 0.6, 0.9, 1.2 vol.%) (n = 12 patients), desflurane (1.5, 3.0, 4.5, 6.0 vol.%) (n = 12 patients) and sevoflurane (0.5, 1.0, 1.5, 2.0 vol.%) (n = 12 patients) on power spectral analysis of the electroencephalogram (EEG). Spectral edge frequency (SEF), total power (TP) and relative power in the delta, theta, alpha and beta band were calculated. EEG changes were very similar within the three groups. SEF decreased, TP and relative power in the delta and theta band increased, power in the beta band decreased in a dose-dependent fashion with comparable regression lines. This indicates that MAC equivalent administration of isoflurane, desflurane and sevoflurane in clinically applied dose ranges is associated with equipotent EEG suppression.

Adult↗

Effects of betel chewing on electroencephalographic activity: spectral analysis and topographic mapping.

The effect of betel chewing on the electroencephalographic (EEG) activity of 52 betel users was studied by spectral analysis and topographic mapping before and during betel chewing. Betel chewing increased both alpha and beta activities but decreased theta activity. These effects were most prominent for beta rhythm. Topographic mapping revealed that altered spectral rhythms were restricted to the occipital areas for the alpha band but were more widespread for both theta and beta bands. The present data suggest that betel chewing causes EEG changes associated with a state of arousal and to a lesser degree a state of relaxation.

Adult↗