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Results for “SPECTRUM ANALYSIS”

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At least 19 recordsLinked to original sources
PubMed1985

Classification of carotid bifurcation disease using quantitative Doppler spectrum analysis.

Spectrum analysis of continuous-wave Doppler recordings from the region of the carotid bifurcation was used to classify the degree of stenosis in the internal (ICA) and external (ECA) carotid arteries. Measurements of systolic peak frequency, end-diastolic frequency, and the degree of spectral broadening were used to define five ICA disease categories: 0% to 15% diameter reduction (DR), 16% to 49% DR, 50% to 80% DR, greater than 80% DR, and occlusion. The results were compared to contrast arteriography in 122 patients (243 arteries). The agreement with angiography in classifying ICA stenosis was 82%. Doppler spectrum analysis identified 96% of hemodynamically significant disease (greater than 50% DR) in the ICA and ECA and 97% of ICA occlusions. Attention to the common carotid artery waveform and the ICA diastolic frequency improved the accuracy of predicting greater than 80% DR and occlusion of the ICA. Noninvasive classification of carotid bifurcation disease is useful in clinical decision making to select the angiographic technique most likely to accurately define disease morphology and to follow up patients for disease progression.

Aged↗
PubMed1999

Progress in Two-Dimensional and Three-Dimensional Ultrasonic Tissue-Type Imaging of the Prostate Based on Spectrum Analysis and Nonlinear Classifiers.

Spectrum analysis of radiofrequency (RF) ultrasonic echo signals often can sense tissue differences that are not visible on conventional ultrasonic images. Spectrum-analysis parameter values combined with other variables, such as serum prostate specific antigen (PSA) concentration, can be classified by neural networks to distinguish effectively between cancerous and noncancerous prostate tissues. Images based on neural network classification of spectral parameters and clinical variables can be advantageous for biopsy guidance, staging, and treatment planning and monitoring. A study based on 644 biopsies from 137 patients showed that these methods are significantly superior to B-mode image interpretation for differentiating cancerous from noncancerous prostate tissues. Using the histologic determination of tissue types as the gold standard, the area under the receiver-operator characteristic (ROC) curve for neural network classification based on spectrum analysis and PSA value for the 644 biopsies was 0.87 +/- 0.04, and the ROC curve are for a level-of-suspicion (LOS) assignment based on B-mode imaging was 0.64 +/- 0.04. Color-encoded and gray-scale images derived from neural network assignment of suspicion for cancer at each pixel location showed remarkable detail and suggested potential clinical value for biopsy guidance using real-time two-dimensional (2D) images and staging, treatment planning, and monitoring using three-dimensional (3D) images.

Journal Article↗
PubMed1998

Comparison of the new acceleration spectrum analysis with other time- and frequency-domain analyses of the signal-averaged electrocardiogram.

AIM: To compare four analysis techniques of the signal-averaged-electrocardiogram, including time-domain, spectral temporal mapping, spectral turbulence analysis and the new acceleration spectrum analysis. METHODS AND RESULTS: We studied 634 subjects (77 with bundle branch block) divided into three groups. Group 1 comprised 117 post-myocardial infarction patients tested for inducibility of sustained ventricular tachycardia, and which was induced in 54 of them. Group 2 comprised 407 consecutive acute myocardial infarction survivors, followed for 1 year; 29 of them had suffered major arrhythmic events: 15 were cases of sustained ventricular tachycardia, three resuscitated ventricular fibrillation and 11 sudden cardiac death. Group 3 comprised 110 control subjects. The different analysis techniques were compared by their likelihood ratio for the prediction of ventricular tachycardia inducibility (Group 1) or major arrhythmic events (Group 2). The likelihood ratios of spectral-turbulence-analysis, acceleration spectrum analysis, spectral temporal mapping and time-domain were 8.0, 3.3, 1.7, 1.3 in Group 1, and 3.8, 2.1, 1.5, 2.6, in Group 2, while the corresponding false-positive rates in Group 3 (control) were 0.9%, 10.0%, 4.5%, and 3.6%, respectively. CONCLUSION: Spectral turbulence analysis was the most accurate technique for the prediction of either ventricular tachycardia inducibility or major arrhythmic events after myocardial infarction. It also showed the highest specificity among control subjects.

Aged↗
PubMed1988

Shear-layer detection in poststenotic flow by spectrum analysis of Doppler signals.

Spectrum analysis of the Doppler signals was performed 0.5 tube diameters downstream from an axisymmetric constriction with an area reduction of 80 percent in steady flow at a jet Reynolds number of 2840. Both pulsed and continuous wave (CW) Doppler spectra showed significant reverse flow components in the separated flow. The pulsed Doppler spectra exhibited sudden changes when the sample volume crossed the shear layer between the center jet and the separated flow. A power spectrum equation was theoretically derived from continuity of flow to define the Doppler shift frequency for the shear layer velocity. The CW Doppler spectrum showed a minimum spectrum density at a frequency which equalled the shear layer Doppler shift frequency derived from the equation. The pulsed spectra exhibited the sudden changes at the same frequency as well.

Blood Flow Velocity↗
PubMed1991

Evoked otoacoustic emissions: correlates between spectrum analysis and audiogram.

Correlations between spectrum analysis of evoked otoacoustic emissions (EOAEs) and hearing losses have been calculated in 150 patients with pure sensorineural hearing loss. Significant correlations were found. The greater the high-frequency spectral components of the EOAE, the better the high-frequency hearing. However the relationship is complex, and it does not seem possible to establish an audiogram knowing only the spectrum analysis of EOAEs.

Adult↗
PubMed1986

Relative accuracy of the diagnostic components of noninvasive carotid arterial tests: a comparison of pulsed Doppler arteriography and spectrum analysis.

Pulsed Doppler ultrasonography (UA), sound spectrum analysis, and subjective interpretation of the audible signal are valuable methods for assessing carotid arterial disease; however, the relative contribution of each in making a diagnosis is disputed. To investigate this issue, 258 noninvasive carotid studies with measured x-ray comparisons were reviewed. Internal carotid spectra, UA images, and images combined with the technician's comments were each interpreted blindly by three independent readers. Percentage of stenosis was categorized into six groups: 0, 1% to 24%, 25% to 49%, 50% to 74%, 75% to 99%, and 100%. Each reader's assessment of the individual noninvasive components and his overall reading of the complete study were compared with x-ray findings and with those of the other two readers. The readings of the three observers were consistent within each diagnostic component (p less than 0.001). For each reader, the technician's comments significantly improved the accuracy of ultrasonic imaging alone (p less than 0.001). Spectrum analysis was as good as the image plus technician's comments and, for two of three readers, was better than the image alone (p less than 0.001).

Angiography↗
PubMed2006

Combining gene expression QTL mapping and phenotypic spectrum analysis to uncover gene regulatory relationships.

Gene expression QTL (eQTL) mapping can suggest candidate regulatory relationships between genes. Recent advances in mammalian phenotype annotation such as mammalian phenotype ontology (MPO) enable systematic analysis of the phenotypic spectrum subserved by many genes. In this study we combined eQTL mapping and phenotypic spectrum analysis to predict gene regulatory relationships. Five pairs of genes with similar phenotypic effects and potential regulatory relationships suggested by eQTL mapping were identified. Lines of evidence supporting some of the predicted regulatory relationships were obtained from biological literature. A particularly notable example is that promoter sequence analysis and real-time PCR assays support the predicted regulation of protein kinase C epsilon (Prkce) by cAMP responsive element binding protein 1 (Creb1). Our results show that the combination of gene eQTL mapping and phenotypic spectrum analysis may provide a valuable approach to uncovering gene regulatory relations underlying mammalian phenotypes.

Animals↗
PubMed1990

[Spectrum analysis of Doppler signals].

Doppler signal spectrum analysis contains useful haemodynamic information. Several parameters of the spectrum can be documented in numerics. Random interaction of the reflectors, the size of the ultrasound sample volume and the procedure of signal analysis influence the results and hence may cause misinterpretation of the data selected. Essential mechanisms influencing the clinician's Doppler-spectrum-analysis are discussed on the basis of a series of 59 angiographically and sonographically examined carotid arteries as well as in the light of theoretical considerations and a review of the literature. Peak frequency linked with a battery of spectrum parameters accuracy are useful to differentiate various degrees of lumen narrowing. Identification or exclusion of minor plaques cannot be achieved with sufficient sensitivity and specificity.

Carotid Arteries↗
PubMed1983

Evaluation of transplant renal artery blood flow by Doppler sound-spectrum analysis.

Doppler ultrasonography sound-spectrum analysis (SSA) was used to evaluate blood flow in the transplanted kidney and its renal artery. Seven patients with posttransplant hypertension and a bruit over the transplanted kidney were screened for renal artery stenosis (RAS). In five patients, RAS was diagnosed by SSA, and in two it was not. These findings were confirmed by subsequent angiography in all patients. Three patients studied after surgical correction of their RAS had improvement in their SSA patterns. Fourteen hypertensive patients with a cause other than RAS were evaluated by SSA. None of them had SSA findings suggestive of RAS. Doppler ultrasonography with SSA is an effective, noninvasive technique of monitoring transplant renal blood flow, especially in the screening of hypertensive transplant recipients for transplant RAS.

Auscultation↗
PubMed1994

Power spectrum analysis of heart rate variations in the early detection of diabetic autonomic neuropathy.

Power spectrum analysis of the R-R interval was used in 20 controls and in two groups of type I (insulin dependent) diabetics (27 patients) to detect changes in total power or in its components (low frequency and high frequency) that might be considered an early evidence of impairment of cardiac autonomic nervous system control. A significant difference between controls and severe diabetics (with autonomic involvement) was found in all components. In the early stage of diabetes without evidence of autonomic involvement, an absolute reduction of the low frequency component in the standing position and a significant reduction of the percentage increase compared with the lying position, was found to discriminate diabetics from controls. The occurrence of somatic neuropathy was unrelated to changes in autonomic function. These data indicate that: (1) power spectrum analysis is sensitive enough to detect cardiac autonomic neuropathy in diabetics, where standard methods fail; (2) power spectrum analysis is the method of choice in the early stages; (3) in severe type I dependent diabetes there is a reduction of power spectrum analysis total power and a defective response to standing up; (4) cardiac autonomic neuropathy develops independently from somatic neuropathy.

Adult↗
PubMedDate not supplied

Electroencephalographic power spectrum analysis as a monitor of anesthetic depth in horses.

Electroencephalographic (EEG) power spectrum analysis was performed in 18 conscious, adult horses for evaluation as control values for EEG data obtained during anesthesia. Computer-processed total amplitudes for the frequency range 0 to 32 Hz were mainly between 400 and 600 microV, with 80% spectral edge frequency between 16.6 and 32.5 Hz. The highest electrical activity was in the delta band (41.3 +/- 4.4% of total amplitude); there was a less pronounced activity in the beta (34.2 +/- 5.2%), theta (13.6 +/- 1.5%), and alpha (10.0 +/- 1.0%) bands. The applicability of EEG power spectrum analysis as a guide to depth of anesthesia was evaluated in four horses by comparing simultaneously recorded EEG data and clinical signs of anesthesia. Global changes in cerebrocortical electrical activity were detected with a single, monopolar (left frontoatlanto-occipital) EEG lead. Increasing depth of halothane anesthesia was accompanied by a pronounced shift in EEG activity from beta to theta and delta frequency bands, a decrease in 80% spectral edge frequency from 21.5 +/- 2.4 Hz to 12.6 +/- 2.2 Hz, a reduction in the beta/delta ratio of fractional amplitudes from 2.37 +/- 0.84 to 0.49 +/- 0.04, and a slight inconsistent increase in total amplitude from 96.1 +/- 37.3 microV to 185.5 +/- 53 microV. These results show that changes in the clinical signs of anesthetic depth in horses can be described numerically by use of EEG power spectrum analysis.

Anesthesia, General↗
PubMed2000

Power spectrum analysis and conventional electromyogram in Duchenne muscular dystrophy.

OBJECTIVE: A comparative study of automatic electromyogram analysis (power spectral analysis) and manual measurements of the individual motor units potentials parameters in normal and Duchenne muscular dystrophy patients was performed to assess the diagnostic yield of both methods. METHODS: The analysis of 20 motor unit potentials elicited at weak effort manually by visual assessment and by power spectrum analysis at 1400 Hz Haning window were performed with concentric needle electrode in the biceps brachii and tibialis anterior. The study includes 18 healthy controls and 32 Duchenne muscular dystrophy patients. The primary diagnosis of the patients was based on the clinical criteria, family history and serum creatin kinase activity estimation. Seventeen patients were biopsied for further histological and histochemical examination. RESULTS: The conventional electromyogram of the patient group characterized by condensed, low mean amplitude of the recruited pattern and an increase in the percentage of polyphasic potentials of short duration and low amplitude in comparison to the normal subjects. About 74% of the patients were identified as myopathic patients with this method. Power spectrum analysis showed significant increase (P<0.0005) in the mean power frequently and the relative power at 1400 Hz and a significant decrease (P<0.0005) in accumulated power. About 95% of the patients were identified as being myopathic patients by this method. Statistical correlation analysis revealed no relationship between the power spectrum analysis and motor unit potentials parameters. CONCLUSION: The electromyogram power spectra was shifted to the higher frequencies in the Duchenne muscular dystrophy patients as compared to the control. The diagnostic yield of the electromyogram power spectrum analysis was higher than the measurement of the motor unit potential parameters. The best parameter of the electromyogram power spectrum is the relative power at 1400 Hz than the other two parameters. The net result of this study is that the electromyogram power spectrum has diagnostic possibilities in the muscles, which showed normal, or few motor unit potential changes.

Case-Control Studies↗
PubMed2002

[The applications for Fourier transform infrared spectrum analysis technique in preventive medicine field].

This paper expatriated the applications for Fourier transform infrared spectrum analysis technique in preventive medicine field from four aspects of environmental pollution, life science, and the latest infrared analysis methods and near infrared analysis technique. In the environmental pollution field, it mainly described the advantages, the limitations and the solutions of the combined applications for gas chromatograph and Fourier transform infrared spectrum. In the life science field, it described the application for Fourier transform infrared spectrum analysis technique on protein secondary structure, membrane protein, phospholipid, nucleic acid, cell, tissue. In addition, it also introduced a few latest infrared analysis methods and the applications for near infrared spectrum analysis technique in food, cosmetic, drug.

DNA↗
PubMed1982

Efficacy of salbutamol in treatment of infant pertussis demonstrated by sound spectrum analysis.

The value of sound spectrum analysis (sonography) as an indicator of the severity of symptomatic pertussis was assessed in four infants aged 3 weeks to 5 months. Coughing paroxysms and whooping could be clearly distinguished and measured on the sonogram. Sonography was then used to evaluate the effects of oral salbutamol on pertussis. The drug reduced the frequency and shortened the duration of the whoops; however, it did not have corresponding effect on the cough. Salbutamol seemed to relieve the laryngeal spasms and consequently eased the infant's breathing difficulties.

Albuterol↗
PubMed1997

Spectrum analysis of cardiovascular time series.

The demand for noninvasive assessment of cardiovascular control parameters has promoted the use of spectrum analysis. These techniques have been applied on a broad basis; however, because of the abstract mathematical approach, spectrum analysis in physiology is still not fully accepted by some circles in the scientific community. Thus it is the goal of the following review to focus on the rationale for applying spectrum analysis in different fields of circulation research, which range from determining arterial baroreceptor reflex sensitivity to the early detection of heart allograft rejection. Within this scope, major findings regarding the physiological and pathophysiological regulation of the cardiovascular system are discussed. In addition, inherent limitations of these methods are made clear. Toward the end of this survey, a perspective is provided for the general readership.

Animals↗