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 1,459 records · Page 81Linked to original sources
PubMed1997

[Spectral analysis of R-R intervals in adolesent persons during mental stress].

In this study, power spectrum analysis of the autoregressive model was used to quantitatively estimate the power spectrum of R-R intervals in adolesent during the state of the mental stress. The power spectrum density of the lower frequency (HF: 0.05-0.15 Hz) and the high frequency (HF: 0.15-0.5 Hz) component were acquired. The results showed that during the mental stress the HF component decreased significantly (P < 0.001) while the LF component increased relatively and the center frequency of the HF increased remarkably (P < 0.001). This suggests that the spectral analysis of heart rate variability (R-R interval) offers an efficient non-invasive method to assess the autonomic nerve activity of cardiovascular system during the stress condition.

Adult↗
PubMed1996

Parametric and non-parametric estimation of speech formants: application to infant cry.

The present paper addresses the issue of correctly estimating the peaks in the speech envelope (formants) occurring in newborn infant cry. Clinical studies have shown that the analysis of such spectral characteristics is a helpful noninvasive diagnostic tool. In fact it can be applied to explore brain function at very early stage of child development, for a timely diagnosis of neonatal disease and malformation. The paper focuses on the performance comparison between some classical parametric and non-parametric estimation techniques particularly well suited for the present application, specifically the LP, ARX and cepstrum approaches. It is shown that, if the model order is correctly chosen, parametric methods are in general more reliable and robust against noise, but exhibit a less uniform behaviour than cepstrum. The methods are compared also in terms of tracking capability, since the signals under study are nonstationary. Both simulated and real signals are used in order to outline the relevant features of the proposed approaches.

Computer Simulation↗
PubMed2006

Estimation of local density augmentation and hydrogen bonding between pyridazine and water under sub- and supercritical conditions using UV-vis spectroscopy.

The local density around pyridazine was evaluated by examining the UV-vis spectral shift of pyridazine in a high-pressure liquid state and supercritical water from 25 to 450 degrees C and from 20 to 45 MPa. Augmentation of the local density was observed from 380 to 420 degrees C, and showed the maximum at a lower density than the critical density of water. The degree of hydrogen bonding was estimated in consideration of the local density augmentation. The estimated degree of hydrogen bonding under subcritical conditions without any difference between the local density and the bulk density corresponded to the previously reported results with a UV-vis absorbance spectral shift of quinoline and an NMR proton chemical shift. However, the degree of hydrogen bonding near the critical point of water was larger than that in the case that the local density augmentation was not taken into account. At 380 degrees C and 0.2 g cm(-3) of the bulk density there are 30% as many hydrogen bonds as those under the ambient condition, and it was around 1.5-times that without considering local-density augmentation.

Journal Article↗
PubMed1989

The theoretical development of a multichannel time-series myoprocessor for simultaneous limb function detection and muscle force estimation.

This paper details the theoretical development and simulation of a complete time-series myoprocessor which provides reliable and economical predictions of both the magnitude and direction of limb motion from the spectral content of the surface EMG. Treating multiple channels of surface EMG as a vector-valued autoregressive process incorporates spatially distributed information which extends the operating range of parallel filtering limb function classifiers and reduces their sensitivity to modeling conditions. Active joint moment is estimated simultaneously from the pooled variance of the prewhitened EMG generated during the classification procedure. Estimation from the prewhitened sequence imposes no additional computational requirements and extends optimal myoprocessors to include multiple channels of serially dependent data. Such a system may be applied to the control of actively powered prostheses or orthoses.

Artificial Limbs↗
PubMed1999

Which linear compartmental systems can be analyzed by spectral analysis of PET output data summed over all compartments?

General linear time-invariant compartmental systems were examined to determine which systems meet the conditions necessary for application of the spectral analysis technique to the sum of the concentrations in all compartments. Spectral analysis can be used to characterize the reversible and irreversible components of the system and to estimate the minimum number of compartments, but it applies only to systems in which the measured data can be expressed as a positively weighted sum of convolution integrals of the input function with an exponential function that has real-valued nonpositive decay constants. The conditions are met by compartmental systems that are strongly connected, have exchange of material with the environment confined to a single compartment, and do not contain cycles, i.e., there is no possibility for material to pass from one compartment through two or more compartments back to the initial compartment. Certain noncyclic systems with traps, systems with cycles that obey a specified loop condition, and noninterconnected collections of such systems also meet the conditions. Dynamic positron emission tomographic data obtained after injection of a radiotracer, the kinetics of which can be described by any model in the class of models identified here, can be appropriately analyzed with the spectral analysis technique.

Algorithms↗
PubMed1998

Non-linear dynamic complexity of the human EEG during evoked emotions.

The present study examined EEG dimensional complexity (estimated correlation dimension) in 76 healthy volunteers in response to emotionally valenced (i.e. neutral, positive and negative) film clip stimulation. EEG was recorded from 18 sites (10-20 system). We estimated the dimensional complexity by the Grassberger and Procaccia and Skinner's point-wise dimension (PD2i) methods. The results were compared to spectral measures of the EEG. Only the PD2i algorithm (i.e. the one that did not require data stationarity) discriminated among all the three film categories. The main results showed that both negative and positive emotions occurred with higher values (at some posterior locations) of EEG DCx estimates compared to the neutral viewing condition. The topographical differences (frontal vs. posterior temporal) between positive and negative evoked emotions were obtained. There were also some significant direct relationships between dynamic complexity estimates and intensities of subjective emotional feelings. It is concluded that dimensional complexity estimates turned out to be sensitive to subtle aspects of emotional processing not accessible by linear EEG analyses.

Adolescent↗
PubMed2002

A fluorometric method for the differentiation of algal populations in vivo and in situ.

Fingerprints of excitation spectra of chlorophyll (Chl) fluorescence can be used to differentiate 'spectral groups' of microalgae in vivo and in situ in, for example, vertical profiles within a few seconds. The investigated spectral groups of algae (green group, Chlorophyta; blue, Cyanobacteria; brown, Heterokontophyta, Haptophyta, Dinophyta; mixed, Cryptophyta) are each characterised by a specific composition of photosynthetic antenna pigments and, consequently, by a specific excitation spectrum of the Chl fluorescence. Particularly relevant are Chl a, Chl c, phycocyanobilin, phycoerythrobilin, fucoxanthin and peridinin. A laboratory-based instrument and a submersible instrument were constructed containing light-emitting diodes to excite Chl fluorescence in five distinct wavelength ranges. Norm spectra were determined for the four spectral algal groups (several species per group). Using these norm spectra and the actual five-point excitation spectrum of a water sample, a separate estimate of the respective Chl concentration is rapidly obtained for each algal group. The results of dilution experiments are presented. In vivo and in situ measurements are compared with results obtained by HPLC analysis. Depth profiles of the distribution of spectral algal groups taken over a time period of few seconds are shown. The method for algae differentiation described here opens up new research areas, monitoring and supervision tasks related to photosynthetic primary production in aquatic environments.

Journal Article↗
PubMed1990

Exploring the relationship between reflectance red edge and chlorophyll content in slash pine.

Chlorophyll is a key indicator of the physiological status of a forest canopy. However, its distribution may vary greatly in time and space, so that the estimation of chlorophyll content of canopies or branches by extrapolation from leaf values obtained by destructive sampling is labor intensive and potentially inaccurate. Chlorophyll content is related positively to the point of maximum slope in vegetation reflectance spectra which occurs at wavelengths between 690-740 nm and is known as the "red edge." The red edge of needles on individual slash pine (Pinus elliottii Engelm.) branches and in whole forest canopies was measured with a spectroradiometer. Branches were measured on the ground against a spectrally flat reflectance target and canopies were measured from observation towers against a spectrally variable understory and forest floor. There was a linear relationship between red edge and chlorophyll content of branches (R(2) = 0.91). Measurements of the red edge and this relationship were used to estimate the chlorophyll content of other branches with an error that was lower than that associated with the calorimetric (laboratory) method. There was no relationship between the red edge and the chlorophyll content of whole canopies. This can be explained by the overriding influence of the understory and forest floor, an influence that was illustrated by spectral mixture modeling. The results suggest that the red edge could be used to estimate the chlorophyll content in branches, but it is unlikely to be of value for the estimation of chlorophyll content in canopies unless the canopy cover is high.

Journal Article↗
PubMed1984

Spectral heterogeneity in protein fluorescence of bacteriorhodopsin: evidence for intraprotein aqueous regions.

By the use of derivative spectral analysis, the broad tryptophan (Trp) fluorescence emission from aqueous suspensions of bacteriorhodopsin in its native purple membrane may be resolved into contributions from buried, surface, and exposed residues. Addition of glycerol produces a progressive enhancement of the fluorescence yield to a limiting value at about 70% v/v glycerol. Glycerol enhancement of fluorescence is also observed for monomeric Trp, and a good correlation exists between this effect and literature estimates of the fractional degree of Trp exposure in nine globular proteins. The estimate of fractional Trp exposure in bacteriorhodopsin from this correlation (50 +/- 15%) is in agreement with the value obtained by spectral differentiation and also by modified Stern-Volmer curves for quenching by water-soluble acrylamide. The absence of significant quenching by Tb(III) or Eu(III) ions, which may be expected to bind to the purple membrane surface, shows that the exposed Trp residues are in contact with water in intraprotein regions of the membrane and may be the first direct evidence for a transmembrane aqueous channel by which protons are actively transported during the bacteriorhodopsin photochemical cycle.

Alcohol Dehydrogenase↗
PubMed2000

Power spectral analysis imperfectly informs changes in sympathetic traffic during acute simulated microgravity.

The purpose of this study was to investigate the value of frequency-domain analysis of autonomic rhythms as a simple, non-invasive technique for the study of immediate neural adjustments to simulated microgravity. We continuously recorded the electrocardiogram, non-invasive beat-by-beat arterial pressure, and muscle sympathetic nerve activity (MSNA) during 5-min periods of controlled frequency breathing (15 breaths.min-1) with subjects (n = 10) in supine, and 10 degrees head-down tilt positions. We estimated changes in fluid volume with lower leg circumference measurements. We analyzed data in the frequency domain with fast Fourier-based power spectral analysis, and calculated the ratio of normalized low-to-respiratory frequency RR-interval spectral power as an index of sympathetic activity. Head-down tilt significantly reduced lower leg volume, MSNA, and MSNA oscillations at the respiratory frequency (p < 0.05). Head-down tilt did not change RR-interval, arterial pressure, or their power spectra (p > 0.05). We conclude that non-invasive frequency-domain estimates do not adequately reveal subtle changes in sympathetic traffic during acute, simulated microgravity.

Adaptation, Physiological↗
PubMedDate not supplied

An auditory localization model based on high-frequency spectral cues.

We present in this paper a connectionist model that extracts interaural intensity differences (IID) from head-related transfer functions (HRTF) in the form of spectral cues to localize broadband high-frequency auditory stimuli, in both azimuth and elevation. A novel discriminative matching measure (DMM) is defined and optimized to characterize matching this IID spectrum. The optimal DMM approach and a novel back-propagation-based fuzzy model of localization are shown to be capable of localizing sources in azimuth, using only spectral IID cues. The fuzzy neural network model is extended to include localization in elevation. The use of training data with additive noise provides robustness to input errors. Outputs are modeled as two-dimensional Gaussians that act as membership functions for the fuzzy sets of sound locations. Error back-propagation is used to train the network to correlate input patterns and the desired output patterns. The fuzzy outputs are used to estimate the location of the source by detecting Gaussians using the max-energy paradigm. The proposed model shows that HRTF-based spectral IID patterns can provide sufficient information for extracting localization cues using a connectionist paradigm. Successful recognition in the presence of additive noise in the inputs indicates that the computational framework of this model is robust to errors made in estimating the IID patterns. The localization errors for such noisy patterns at various elevations and azimuths are compared and found to be within limits of localization blurs observed in humans.

Ear↗
PubMed1995

Estimation of shape characteristics of surface muscle signal spectra from time domain data.

Myoelectric manifestations of muscle fatigue have been described by monitoring the first-order moment (mean frequency) of the power spectral density function during voluntary or electrically elicited sustained contractions. Higher order central moments provide additional information about the width, skewness, and kurtosis of the spectrum and its shape changes, thereby providing a description of slow nonstationarities more accurate than that allowed by the mean frequency alone. In 1986, B. Saltzberg introduced a method of representing the moments of the power spectral density function of band limited signals, without computing the Fourier transform, as weighted sums of samples of the autocorrelation function. If we allow for oversampling of the signal (and therefore of its autocorrelation function), more efficient weighted sums can be found which give Saltzberg's formula as a limiting case. The faster rate of decay of the weights implies a faster convergence of the estimates and the need to compute fewer samples of the autocorrelation function. The algorithm is particularly suitable for: 1) analysis of evoked potentials (M-waves), because it does not need zero padding to increase resolution and operates on any number of samples, and 2) on-line implementation by dedicated microprocessors performing simultaneous spectral moment analysis on a number of parallel channels.

Electrophysiology↗
PubMed1993

Calculation of tissue attenuation with a clinical ultrasound unit.

RATIONALE AND OBJECTIVES: Five alternative methods for estimating tissue attenuation with a clinical ultrasound unit were evaluated. METHODS: Two homogeneous tissue mimicking phantoms (with known attenuations of 0.25 and 0.54 db/cm/MHz) and 22 human placentas were scanned. Attenuation coefficients were computed by linear regression of 1) L(f), the log spectral difference; 2) Fav (d), the average spectral frequency; 3) log[P(d)], the logarithm of the spectral power; 4) Fav (d) x log[P(d)]; and 5) (Fav(d) + log[P(d)])/2. RESULTS: Each of these five heuristics provided accurate estimates for the relative attenuations of the two phantoms. For placental tissue, method 3 provided better regression fits than methods 1 and 2. Methods 4 and 5 provide the best regression fits (P < .01). CONCLUSIONS: The combination of both frequency and power information in methods 4 and 5 compensates, in part, for nonlinearities introduced by tissue heterogeneity. A parameter that combines both frequency and time domain information is likely to provide more reliable estimates of attenuation than power or frequency measurements alone.

Female↗
PubMed2005

Assessment of heart rate variability during alterations in stress: complex demodulation vs. spectral analysis.

Complex demodulation (CDM) has been proposed as a method for the analysis of high- and low-frequency variabilities of heart rate and blood pressure under non-stationary conditions. In contrast to power spectral analysis, CDM provides time-dependent changes in signal amplitude and frequency on a continuous basis and may yield insights into short-term alterations in autonomic regulation. In particular, CDM may be uniquely suited for quantifying changes in respiratory sinus arrhythmia (RSA) at the onset of acute physical or mental stress conditions. In a simulation analysis we generated R-R interval time series within a normal physiological range that represented different typical sources of non-stationarity present during varying stress. Sources of non-stationarity included abrupt changes in a) mean level (from 1000 to 500 ms within 60 sec), b) oscillatory amplitude (from 50 to 10 ms), c) oscillatory frequency (from 0.2 to 0.4 Hz), and d) a combination of the above. In general, CDM-estimated amplitude and frequency accurately reproduced characteristics of the simulation data under all conditions, even after substantial noise and a 0.09 Hz oscillation were added. However, during some transitions CDM estimates fluctuated around the true values for up to 15 sec before they stabilized. Compared to CDM, power spectral analysis results were less informative since they did not allow the disentangling of unique contributions of distinct amplitudes and frequencies at different time points. Our analyses indicate that CDM provides a powerful means of continuously assessing time-dependent changes in RSA during varying physical or mental stress. CDM may also hold promise for a range of physiological and environmental non-steady state conditions where rapid dynamic alterations in autonomic control are likely to occur.

Algorithms↗
PubMed1999

In vivo high-frequency ultrasonic characterization of human dermis.

The aim of this study is in vivo skin tissue characterization of young and old human cutaneous tissues by estimating the slope of the attenuation coefficient. The method used is the centroid algorithm with a second-order autoregressive model to perform the spectral analysis. Backscattered signals are acquired with a 40-MHz transducer fixed on a three-dimensional robot. Diffraction phenomena are eliminated via an axial translation of the transducer that allows the acquisition of the signal in the focal zone. The slope of the attenuation coefficient is estimated on phantoms of known attenuation, in order to validate the method. Preliminary measurements of the slope of the attenuation coefficient are subsequently performed in the echographic mode on abdominal human skin samples in vitro at 40 MHz. After assessing the reproducibility of the measurement of the attenuation coefficient slope in human dermis at 40-MHz in vivo, this is carried out on the volar face of the forearm of 150 healthy subjects aged 14-85 yr. The values measured range from 0.7 to 3.6 dB/cm.MHz. The main result of this study is the decrease with advancing age of the attenuation coefficient slope, which may reflect structural modifications of human dermis with age.

Adolescent↗
PubMed2003

Dimensional complexity and spectral properties of the human sleep EEG. Electroencephalograms.

OBJECTIVE: The relevance of the dimensional complexity (DC) for the analysis of sleep EEG data is investigated and compared to linear measures. METHODS: We calculated DC of artifact-free 1 min segments of all-night sleep EEG recordings of 4 healthy young subjects. Non-linearity was tested by comparing with DC values of surrogate data. Linear properties of the segments were characterized by estimating the self-similarity exponent alpha based on the detrended fluctuation analysis which quantifies the persistence of the signal and by calculating spectral power in the delta, theta, alpha and sigma bands, respectively. RESULTS: We found weak nonlinear signatures in all sleep stages, but most pronounced in sleep stage 2. Strong correlations between DC and linear measures were established for the self-similarity exponent alpha and delta power, respectively. CONCLUSIONS: The dimensional complexity of the sleep EEG is influenced by both linear and nonlinear features. It cannot be directly interpreted as a nonlinear synchronization measure of brain activity, but yields valuable information when combined with the analysis of linear measures.

Adult↗
PubMed2006

T2 measurement and quantification of glutamate in human brain in vivo.

The proton NMR transverse relaxation time T(2) of glutamate (Glu) in human brain was measured by means of spectrally selective refocusing at 3.0 T in vivo. An 81.4-ms-long dual-band Gaussian 180 degrees RF pulse, designed for refocusing at 2.35 and 3.03 ppm, was employed within point-resolved spectroscopy (PRESS) to generate the Glu C4-proton target multiplet and the total creatine (tCr) singlet. Six optimal echo times (TEs) between 128 and 380 ms were selected from numerical analysis of the filtering performance for effective detection of the Glu signal with minimal contamination from glutamine (Gln), N-acetylaspartate (NAA), and glutathione (GSH). The magnetization of Glu and tCr was extracted from spectral fitting of experimental and calculated spectra. Apparent T(2) values of Glu and tCr were estimated as 201 +/- 18 and 164 +/- 12 ms for the medial prefrontal (PF) cortex, and 198 +/- 22 and 169 +/- 15 ms (mean +/- SD, N = 5) for the left frontal (LF) cortex, respectively. With water segmentation data, the magnetization values of Glu and tCr of the two adjacent voxels, calculated from the T(2) values and spectra following the thermal equilibrium magnetization, were combined to give the Glu and tCr concentrations as 10.37 +/- 1.06 and 8.87 +/- 0.56 mM for gray matter (GM), and 5.06 +/- 0.57 and 5.16 +/- 0.45 mM (mean +/- SD, N = 5) for white matter (WM), respectively.

Adult↗
PubMed1987

Target inactivation analysis applied to determination of molecular weights of rat liver proteins in the purified state and in microsomal membranes.

In principle, target inactivation analysis provides a means of determining the molecular weights (Mr) and states of aggregation of proteins in native environments where they are functionally active. We applied this irradiation technique to the rat liver microsomal membrane proteins: cytochrome b5, epoxide hydrolase, flavin-containing monooxygenase, NADH-ferricyanide reductase, NADPH-cytochrome P-450 reductase, and seven different forms of cytochrome P-450. Catalytic activities, spectral analysis of prosthetic groups, and sodium dodecyl sulfate-polyacrylamide electrophoresis/peroxidase-coupled immunoblotting were used to estimate apparent Mr values in rat liver microsomal membranes. Except in one case (cytochrome P-450PCN-E), the estimated Mr corresponded most closely to that of a monomer. Purified cytochrome P-450PB-B, NADPH-cytochrome P-450 reductase and epoxide hydrolase were also subjected to target inactivation analysis, and the results also suggested monomeric structures for all three proteins under these conditions. However, previous hydrodynamic and gel-exclusion results clearly indicate that all three of these proteins are oligomeric under these conditions. The discrepancy between target inactivation Mr estimates and hydrodynamic results is attributed to a lack of energy transfer between monomeric units. Thus, while P-450PCN-E may be oligomeric in microsomal membranes, target inactivation analysis does not appear to give conclusive results regarding the states of aggregation of these microsomal proteins.

Animals↗