Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Spectral estimation”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,405 records · Page 78Linked to original sources

Statistical properties of breath-to-breath variations in ventilation at constant PETCO2 and PETO2 in humans.

The purpose of this study was to provide a statistical description of the breath-to-breath variations in ventilation during steady breathing in both rest and during light exercise, with the end-tidal gases controlled by using an end-tidal forcing system. Sixty data sets were studied, only one of which was white (i.e., did not show autocorrelation). Three simple autoregressive moving average (ARMA) models, i.e., AR1, AR2, and AR1MA1, and one simple state-space model were fitted to the data and resulted in white residuals in 15, 31, 46, and 48 out of 60 occasions, respectively. Evolutionary spectral analysis revealed that only 13 data sets had a constant power spectrum, although 50 were uniformly modulated. An autoregressive estimate of variance could be used to "demodulate" the data in most cases, but the results were not significantly affected by fitting the model to the demodulated data. The results indicate that 1) both simple ARMA models and a simple state-space model can describe the autocorrelation present; 2) variations in spectral power were present in the data that cannot be described by these models; and 3) these variations were often due to a uniform modulation and did not significantly affect the coefficients for the models. For these kinds of data, a heteroscedastic form of state-space model provides an attractive theoretical structure for the noise processes.

Air Pressure↗

Computational approaches to color constancy: adaptive and ontogenetic considerations.

Recent computational approaches to color constancy can be realized using a two-stage model of color vision. Adaptation at both the sensor stage and the second or reflectance channel stage is necessary to compute illuminant-invariant reflectance estimates. von Kries adaptation is shown to contribute significantly toward reducing, but not completely eliminating, the need for adaptation at the second stage. Examples of computations from the model using daylight illuminants, simulated natural reflectance functions, and putative human spectral sensitivity functions are shown. The ontogenetic plausibility of these models is also discussed. The role of the second-stage transformation in estimating surface reflectance is compared with the role of opponent color transformations in decorrelating primary receptor outputs.

Aging↗

Biological and remote sensing perspectives of pigmentation in coral reef organisms.

Coral reef communities face unprecedented pressures on local, regional and global scales as a consequence of climate change and anthropogenic disturbance. Optical remote sensing, from satellites or aircraft, is possibly the only means of measuring the effects of such stresses at appropriately large spatial scales (many thousands of square kilometres). To map key variables such as coral community structure, percentages of living coral or percentages of dead coral, a remote sensing instrument must be able to distinguish the reflectance spectra (i.e. "spectral signature", reflected light as a function of wavelength) of each category. For biotic classes, reflectance is a complex function of pigmentation, structure and morphology. Studies of coral "colour" fall into two disparate but potentially complementary types. Firstly, biological studies tend to investigate the structure and significance of pigmentation in reef organisms. These studies often lack details that would be useful from a remote sensing perspective such as intraspecific variation in pigment concentration or the contribution of fluorescence to reflectance. Secondly, remote sensing studies take empirical measurements of spectra and seek wavelengths that discriminate benthic categories. Benthic categories used in remote sensing sometimes consist of species groupings that are biologically or spectrally inappropriate (e.g. merging of algal phyla with distinct pigments). Here, we attempt to bridge the gap between biological and remote sensing perspectives of pigmentation in reef taxa. The aim is to assess the extent to which spectral discrimination can be given a biological foundation, to reduce the ad hoc nature of discriminatory criteria, and to understand the fundamental (biological) limitations in the spectral separability of biotic classes. Sources of pigmentation in reef biota are reviewed together with remote sensing studies where spectral discrimination has been effectively demonstrated between benthic categories. The basis of reflectance is considered as the sum of pigmented components, such as zooxanthellae, host tissues and skeletons of corals. Problems in the empirical in situ measurement of reflectance are identified, such as the differing types of reflectance which can be measured, the interaction of the light field with morphology, and depth-dependent variability of measured reflectance due to fluorescence. The latter is estimated in some cases to introduce an error of up to 20% when depth differs by 8 m. Spectral features useful in discriminating reef benthos are identified and related to pigmentation. The slope in the reflectance spectra between 650 and 690 nm is dependent on chlorophyll-a concentration and can be used to discriminate bare sand with no algal component from chlorophyll-a containing benthos (algae, corals). The slope in reflectance at various locations between 500 and 560 nm can be useful in discriminating bleached and unbleached corals, possibly due to reduced peridinin concentration. Rhodophyta may be discernible by the presence of a dip in reflectance at 570 nm, due to a phycoerythrin absorption peak. However, the utility of some discriminatory criteria in deeper waters is mitigated by the relatively poor transmission of light through water at longer wavelengths (especially > 600 nm). Contrary to suggested categorizations of fluorescent pigments in coral host tissues, it is shown that these pigments form an almost continuous distribution with respect to their excitation and emission peaks. Remote sensing by induced fluorescence is a promising approach, but further details about the variation and distribution of these pigments are required. It is hoped that this review will promote cross-disciplinary collaboration between pigment biologists and the reef remote sensing community. Where possible, the discriminative criteria adopted in remote sensing should be related to biological phenomena, thus lending an intuitive, process-orientated basis for interpreting spectral data. Similarly, remote sensing may provide a novel scaling perspective to biological studies of pigmentation in reef organisms.

Animals↗

Fluorescence sensor design for transition metal ions: the role of the PIET interaction efficiency.

Multicomponent systems 1, 2, and 3 having fluorophore-spacer-receptor architecture have been prepared with a view to understand the role of the photoinduced intramolecular electron transfer (PIET) interactions in transition metal ion sensing efficiency of these systems. Structurally similar compounds 4-amino-1,8-naphthalimide (4), 4-aminophthalimide (5), and 4-methoxy-1,8-naphthalimide (6) were used as the fluorophore moieties. Dimethylamino group (as in the case of 1a, 2a, and 3a, series A) and an aniline moiety (like in 1b, 2b, and 3b, series B) have been employed as the receptor components. A two-carbon ethylene chain serves as a spacer unit. The absorption and fluorescence spectral features of the systems have been studied in the absence and presence of various transition metal ions. All the multicomponent systems (except 1a) show weak fluorescence intensities compared to that of their constituent fluorophores (4, 5, and 6) in any given solvent. The reason for this low fluorescence quantum yield could be ascribed to the efficient PIET interaction between receptor moiety and the electron deficient fluorophore component of the systems. This has been corroborated with the estimated thermodynamic driving force (delta G*) for the PIET process in the multicomponent systems, calculated using electrochemical and spectral properties of individual components, is more negative for 2 and 3 than for 1 having electron deficient fluorophores 5, and 6, respectively. Especially, as evidenced by their low fluorescence quantum yield values, the PIET interaction is found to be more significant in the systems of series B (1b, 2b, and 3b) than the respective system of series A (1a, 2a, and 3a, respectively). The sensing capability of the systems is directly related to the efficiency of the PIET interaction in the unbound state. Accordingly, all these systems (except 1a) show significant fluorescence enhancement in the presence of transition metal ions, well known for their high fluorescence quenching behavior. The present paper describes, the feasibility of optimizing the PIET interaction in the multicomponent sensor system in unbound state, and thus transition metal ion signaling capability of the system.

Journal Article↗

Modulation detection interference: across-frequency processing and auditory grouping.

Modulation Detection Interference (MDI) is the loss of sensitivity in processing amplitude modulation of a probe tone when a masker is similarly modulated. MDI was measured in four experiments to investigate two past claims concerning MDI: 1) That MDI represents across-spectral processing, and 2) that MDI is the consequence of the auditory system using common patterns of amplitude modulation to group spectral components into a single auditory source. Experiment I studied MDI when the envelope phase of the masker and probe modulators were different and was used to address the issue of the extent to which MDI is a consequence of spectral grouping based on common amplitude modulation. Measures of MDI for conditions in which the frequency separation between the probe and masker carriers was varied (Experiment II), estimates of modulation depth discrimination (Experiment III), and signal detection thresholds for brief sinusoidal signals masked by amplitude modulated tones (Experiment IV) were all used to address issues related to across-spectral processing of amplitude modulation. The conclusions of these studies is that MDI is largely an across-frequency phenomenon and that the role of auditory grouping based on a common pattern of modulation can not be ruled out as having a relationship to MDI.

Acoustic Stimulation↗

Protocol for studying depth of anesthesia using the spectral edge frequency.

The preliminary results of a multicenter study designed to determine the utility of the processed EEG in combination with heart rate and blood pressure for estimating anesthetic depth are reported. The study is planned to include 1,000 ASA I, II, and III patients undergoing surgery with at least a 60-minute duration of anesthesia. The preliminary results indicate that the use of EEG and clinical signs may provide better control of anesthetic depth. The study design provides ideal conditions for determining whether spectral edge frequency is a useful criterion for management of routine general anesthesia in a typical clinical environment.

Anesthesia, General↗

A spectral unfolding method to determine source depth distribution.

The depth distribution in tissue of a gamma-emitting isotope can be estimated by observing the energy spectrum of photons emerging from the body. Monte Carlo methods were used to compute surface energy spectra for 99Tcm point sources at various depths. From these noise-free results a discrete response matrix was constructed to relate the input source depth to the corresponding output spectrum. Observed spectra with noise were then simulated independently by Monte Carlo calculations assuming various measurement times and source strengths. The source distribution was determined by solving the discrete inverse unfolding problem by the Method of Regularisation. The effective depth resolution is seen to depend strongly upon measurement time. The results show that limited depth resolution can be obtained from a single view of the object region.

Monte Carlo Method↗

Spectral characterization and attenuation measurements in ultrasound.

Various means of characterizing ultrasonic attenuation in tissue are reviewed. A simple method for estimating frequency-dependent attenuation via measurement of the zero crossing density of the signal is presented and validated. Both the effects of the frequency dependence of scatter and stochastic variability of the measurement are considered and discussed. Results of measurements made in phantoms, animals and humans are presented and compared to the theoretical model. The technique is shown to be technically feasible.

Animals↗

A possible origin of differences between calorimetric and equilibrium estimates of stability parameters of proteins.

To test the validity of thermodynamic parameters from the equilibrium method, we have studied the reversible heat-induced denaturations of lysozyme, ribonuclease A, cytochrome c and myoglobin at various pH values, using absorption spectral measurements. For each protein, if a linear temperature-dependence of the pre- and post-transition baselines is assumed for the analysis of the conformational-transition curve, the estimate of DeltaH (the enthalpy change on denaturation at T(m), the midpoint of denaturation) is significantly less than DeltaH, the value obtained by the calorimetric measurements. If the analysis of thermal-denaturation curves assumes that the temperature-dependence of pre- and post-transition baselines is described by a parabolic function, there exists an excellent agreement between DeltaH(m) values of all proteins obtained from equilibrium and calorimetric methods. The latter analysis is supported by the studies on model compounds, for measurements of absorption properties of tyrosine, tryptophan and haem as a function of temperature suggested that the temperature-dependencies of the optical properties are indeed non-linear. We have observed that for each protein the constant-pressure heat-capacity change on denaturation (DeltaC(p)) determined from the plots of DeltaH versus T(m) is not only independent of the method of analysis of the transition curve, but it is also in excellent agreement with calorimetric DeltaC(p). An important conclusion of this study is that for these proteins that exhibit two-state character, all stability parameters are measured with the same error as that observed with a calorimeter.

Biochemistry↗

Optical density of the human lens.

Optic disk reflectance was measured from 27 normal observers with their physiological lenses (aged 21-74 yr) and from two pseudophakic observers (aged 69 and 70 yr) with use of a Utrecht fundus reflection densitometer. Psychophysical heterochromatic flicker photometric luminance matches (10 degrees field) were obtained on the same group of the observers. A four-parameter model incorporating lens density, hemoglobin absorption, optic disk reflectance, and superficial stray light was used to fit the reflectometric data. A model incorporating lens density and the Judd revised spectral luminous-efficiency function was used to fit the psychophysical data. The lens-density spectrum used the two-factor aging model of Pokorny, et al. [Appl. Opt. 26, 1437 (1987)]. The lens density for each normal observer was estimated through a least-squares fitting procedure yielding an estimated lens age. For the reflectometric data the observer's chronological age agreed with estimated lens age with a correlation coefficient of 0.92. The reflectometric regression line underestimated chronological age by approximately 5 yr. The mean reflectance of the optic disk was 0.047 with standard error of the mean of 0.0044. Data from the pseudophakic observers were well described when corneal density was used to replace lens density. The lens density was also estimated from the psychophysical data. The observer's chronological age agreed with psychophysically estimated lens age with a correlation coefficient of 0.92. It was concluded that the in vivo lens density can be estimated from the reflectance spectrum measured off the optic disk. The reflectance spectrum of the optic disk was inferred to be close to spectrally neutral.

Adult↗

Additional findings on heritability and prenatal masculinization of cochlear mechanisms: click-evoked otoacoustic emissions.

A previous demonstration of a substantial genetic contribution to the expression of spontaneous otoacoustic emissions (SOAEs) is here extended to an aspect of click-evoked otoacoustic emissions (CEOAEs). CEOAEs were measured in the same twins and non-twins used for the SOAE heritability study. The stimuli were 100-microsecond clicks presented a nominal rate of 2/s; the emitted waveforms from 50 clicks were summed, and a 20-ms sample of that averaged waveform (beginning 6 ms after click presentation) was subjected to spectral analysis. The total power in the spectrum from 1 to 5 kHz in this temporal segment of the CEOAE waveform was used as the primary dependent variable. This overall power was significantly greater in female and right ears than in male and left ears, but the difference between dark- and light-eyed subjects was not significant. The overall power in the two left, and two right, ears of monozygotic co-twins was more highly correlated than in dizygotic co-twins, and structural modeling indicated that about 65-85% of the individual variation in the expression of CEOAE power could be attributed to genes-essentially the same heritability estimate as obtained previously from the SOAE data. Within-subject correlations between CEOAE power and number of SOAEs ranged from about 0.3 to 0.7, suggesting that these two forms of otoacoustic emission may depend upon somewhat different aspects of the same underlying mechanism and, thus, that heritability estimates based on one measure are not completely redundant to those from the other. While the average spectral power of the CEOAEs in opposite-sex dizygotic (OSDZ) females was smaller than that in same-sex dizygotic (SSDZ) females- and thus approached the value for males-the difference did not achieve statistical significance. Thus, the evidence for a prenatal masculinizing effect was less definitive in these CEOAE data than in the SOAE data obtained from the same subjects. An interpretation that accounts for both the CEOAE and SOAE results is that the strength of the so-called cochlear amplifiers is under genetic control that is to some extent mediated and/or modified through prenatal exposure to androgens. The indicated direction of effect is that weak cochlear amplifiers result when prenatal androgen levels are high. Under this view, then, androgen level contribute both to the sex differences observed in otoacoustic emissions and the prenatal masculinizing effects observed in opposite-sex twins, and they may be a factor in individual differences in OAE expression as well. Additionally it is shown that, although the powers of the CEOAE waveforms were reasonably highly correlated for the two ears of subjects in all groups, and across MZ co-twins, cross-correlations on the fine structures of those same pairs of CEOAE waveforms were essentially zero-presumably owing largely to the synchronizing of (different) SOAE frequencies in the ears being compared.

Acoustic Stimulation↗

A standardized blood sampling scheme in quantitative FDG-PET studies.

Quantitative estimation of brain glucose metabolism (rCMRGlc) with positron emission tomography and fluorodeoxyglucose involves arterial blood sampling to estimate the delivery of radioactivity to the brain. Usually, for an intravenous injection of 30 s duration, an accurate input curve requires a frequency of one sample every 5 s or less to determine the peak activity in arterial plasma during the first 2 min after injection. In this work, 13 standardized sampling times were shown to be sufficient to accurately define the input curve. This standardized input curve was subsequently fitted by a polynomial function for its rising part and by spectral analysis for its decreasing part. Using the measured, the standardized, and the fitted input curves, rCMRGlc was estimated in 32 cerebral regions of interest in 20 normal volunteers. Comparison of rCMRGlc values obtained with the measured and the fitted input curves showed that both procedures gave consistent results, with a maximal relative error in mean rCMRGlc of 1% when using the autoradiographic method and 2% using kinetic analysis of dynamic data. This input-curve-fitting technique, which is not dependent on the peak time occurrence, allows an accurate determination of the input-curve shape from reduced sampling schemes.

Adult↗

NMR spectral quantitation by principal component analysis. III. A generalized procedure for determination of lineshape variations.

We present a general procedure for automatic quantitation of a series of spectral peaks based on principal component analysis (PCA). PCA has been previously used for spectral quantitation of a single resonant peak of constant shape but variable amplitude. Here we extend this procedure to estimate all of the peak parameters: amplitude, position (frequency), phase and linewidth. The procedure consists of a series of iterative steps in which the estimates of position and phase from one stage of iteration are used to correct the spectra prior to the next stage. The process is convergent to a stable result, typically in less than 5 iterations. If desired, remaining linewidth variations can then be corrected. Correction of (typically) unwanted variations of these types is important not only for direct peak quantitation, but also as a preprocessing step for spectral data prior to application of pattern recognition/classification techniques. The procedure is demonstrated on simulated data and on a set of 992 (31)P NMR in vivo spectra taken from a kinetic study of rat muscle energetics. The proposed procedure is robust, makes very limited assumptions about the lineshape, and performs well with data of low signal-to-noise ratio.

Algorithms↗

Spatial filter characteristics of optic nerve fibers in California ground squirrel (Spermophilus beecheyi).

The spatial response properties of single optic nerve fibers in the California ground squirrel (Spermophilus beecheyi) were investigated. Results are reported for each of several response classes. Resolution limits determined for 165 spectrally nonopponent optic nerve fibers ranged from 0.1 to 4.2 cycles/degree (c/d), with a mean resolution limit of 1.49 c/d. Directionally selective units possessed the highest resolution limits (mean = 1.91 c/d.) Sustained and transient units possessed mean resolution limits of 1.44 and 1.09 c/d, respectively. The correlation between response and sensitivity measures of spatial tuning was examined for 29 units. Optimal spatial frequency and spatial frequency bandwidth estimates derived from the two measures were highly correlated. As measured from response functions, optimal spatial frequencies of 97 spectrally nonopponent units ranged from 0.1 to 2.2 c/d (mean = 0.44 c/d). Directionally selective units possessed the highest optimal spatial frequencies (mean = 0.60 c/d). Mean optimal spatial frequencies for sustained and transient units were 0.32 and 0.27 c/d, respectively. Mean half-amplitude response bandwidth for 96 optic nerve fibers was 2.80 octaves. Directionally selective units were narrowly tuned, possessing a mean half-amplitude bandwidth of 1.99 octaves. Sustained and transient units had mean half-amplitude response bandwidths of 3.56 and 2.80 octaves, respectively. The response bandwidths of directionally selective optic nerve fibers were highly negatively correlated with optimal spatial frequency; no significant correlation between these measures existed for sustained or transient units. Peak contrast sensitivity in 88 optic nerve fibers ranged from 3.0 to 55.0. Mean contrast sensitivity was 16.7 and did not differ between fiber response classes. Peak contrast sensitivity was not correlated with optimal spatial frequency. Poststimulus time histograms of unit responses to sinusoidal luminance modulation revealed that some sustained units modulate their discharge rates around spontaneous levels and show predominant Fourier amplitude at the fundamental frequency. Transient units possess low levels of spontaneous discharge and respond abruptly to the passage of grating half-cycles, resulting in a characteristically dispersed spectrum of Fourier amplitude. Directionally selective units respond to sinusoidal luminance gratings with an elevation of maintained firing rate and possess moderate Fourier amplitudes corresponding to the fundamental and second harmonic frequencies.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals↗

Pseudo velocity profiles in carotid artery through Doppler US signal processing.

In this paper a new method of obtaining hemodynamic information from spectral analysis of continuous wave Doppler ultrasound signals is presented. Some considerations of the evaluation of maximum and mean frequencies of the signal arising from scattering in the insonated volume are proposed. A new algorithm to compute the maximum frequency has been applied. Maximum and mean frequency are, respectively, proportional to the maximum and mean velocity in the insonated volume. Their application to mathematical models enables an estimate of velocity profiles into the vessels. The proposed method offers the possibility of matching an accurate evaluation of spectral broadening. In vitro tests and some clinical results involving healthy young people, arteriopathic and stenotic patients show the potential of the method in evaluating different hemodynamic conditions.

Blood Flow Velocity↗

Temporally and spectrally resolved imaging microscopy of lanthanide chelates.

The combination of temporal and spectral resolution in fluorescence microscopy based on long-lived luminescent labels offers a dramatic increase in contrast and probe selectivity due to the suppression of scattered light and short-lived autofluorescence. We describe various configurations of a fluorescence microscope integrating spectral and microsecond temporal resolution with conventional digital imaging based on CCD cameras. The high-power, broad spectral distribution and microsecond time resolution provided by microsecond xenon flashlamps offers increased luminosity with recently developed fluorophores with lifetimes in the submicrosecond to microsecond range. On the detection side, a gated microchannel plate intensifier provides the required time resolution and amplification of the signal. Spectral resolution is achieved with a dual grating stigmatic spectrograph and has been applied to the analysis of luminescent markers of cytochemical specimens in situ and of very small volume elements in microchambers. The additional introduction of polarization optics enables the determination of emission polarization; this parameter reflects molecular orientation and rotational mobility and, consequently, the nature of the microenvironment. The dual spectral and temporal resolution modes of acquisition complemented by a posteriori image analysis gated on the spatial, spectral, and temporal dimensions lead to a very flexible and versatile tool. We have used a newly developed lanthanide chelate, Eu-DTPA-cs124, to demonstrate these capabilities. Such compounds are good labels for time-resolved imaging microscopy and for the estimation of molecular proximity in the microscope by fluorescence (luminescence) resonance energy transfer and of molecular rotation via fluorescence depolarization. We describe the spectral distribution, polarization states, and excited-state lifetimes of the lanthanide chelate crystals imaged in the microscope.

Chelating Agents↗

[Metrological aspects of the spectral analysis of cardiac rhythm].

There are factors (presence of slow waves with the period that exceeds the recording duration, nonmultiplicity of the analysed oscillation periods to realisation), which do not allow reliable and reproducible estimations of the spectrum parameters in the slow area even in case of the stable patient's state. In case there are oscillations in the heart rhythm with periods comparable with the recording duration application of such a well known method like the elimination of polynominal trend to inhibit destabilizing effect of the factors is not effective enough. To increase the reliability and reproducibility in estimating heart rhythm wave pattern, its registration should be carried out only in the stable patient's condition long enough to cover several periods of the slowest analysed waves, that will limit the applications of the heart rhythm spectral analysis in clinical practice.

Heart Rate↗

A novel approach for estimating muscle fiber conduction velocity by spatial and temporal filtering of surface EMG signals.

We describe a new method for the estimation of muscle fiber conduction velocity (CV) from surface electromyography (EMG) signals. The method is based on the detection of two surface EMG signals with different spatial filters and on the compensation of the spatial filtering operations by two temporal filters (with CV as unknown parameter) applied to the signals. The transfer functions of the two spatial filters may have different magnitudes and phases, thus the detected signals have not necessarily the same shape. The two signals are first spatially and then temporally filtered and are ideally equal when the CV value selected as a parameter in the temporal filters corresponds to the velocity of propagation of the detected action potentials. This approach is the generalization of the classic spectral matching technique. A theoretical derivation of the method is provided together with its fast implementation by an iterative method based on the Newton's method. Moreover, the lowest CV estimate among those obtained by a number of filter pairs is selected to reduce the CV bias due to nonpropagating signal components. Simulation results indicate that the method described is less sensitive than the classic spectral matching approach to the presence of nonpropagating signals and that the two methods have similar standard deviation of estimation in the presence of additive, white, Gaussian noise. Finally, experimental signals have been collected from the biceps brachii muscle of ten healthy male subjects with an adhesive linear array of eight electrodes. The CV estimates depended on the electrode location with positive bias for the estimates from electrodes close to the innervation or tendon regions, as expected. The proposed method led to significantly lower bias than the spectral matching method in the experimental conditions, confirming the simulation results.

Action Potentials↗