Literature DB >> 1453783

The effect of averaging cardiac Doppler spectrograms on the reduction of their amplitude variability.

G Cloutier1, L Allard, Z Guo, L G Durand.   

Abstract

The effect of averaging cardiac Doppler spectrograms on the reduction of their amplitude variability was investigated in 30 patients. Beat-to-beat variations in the amplitude of Doppler spectrograms were also analysed. The quantification of amplitude variability was based on the computation of the area under the absolute value of the derivative function of each spectrum composing mean spectrograms. Fast Fourier transform using a Hanning window was used to compute Doppler spectra. Results obtained over systolic and diastolic periods showed that the reduction of amplitude variability followed an exponentially decreasing curve characterised by the equation f (r) = 100 e-beta(r-1), where r is the number of cardiac cycles, beta the exponentially decreasing rate, and 100 the normalised variability for r = 1. In systole, the decreasing rate beta was 0.165, whereas in diastole it was 0.225. Reductions of the variability in systole for a number of cardiac cycles of 5, 10, 15, and 20 were 48, 77, 90 and 96 per cent, respectively. In diastole, reductions of the variability for the same numbers of cardiac cycles were 59, 87, 96 and 99 per cent, respectively. Based on these results, it can be concluded that no significant improvement in the reduction of amplitude variability may be obtained by averaging more than 20 cardiac cycles.

Entities:  

Mesh:

Year:  1992        PMID: 1453783     DOI: 10.1007/bf02446128

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  23 in total

1.  A comparison of three different filters for speckle reduction of Doppler spectra.

Authors:  P R Hoskins; T Loupas; W N McDicken
Journal:  Ultrasound Med Biol       Date:  1990       Impact factor: 2.998

2.  "Speckle" in continuous wave Doppler ultrasound spectra: a simulation study.

Authors:  L L Mo; R C Cobbold
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  1986       Impact factor: 2.725

3.  Computer analysis and pattern recognition of Doppler blood flow spectra for disease classification in the lower limb arteries.

Authors:  L Allard; Y E Langlois; L G Durand; G O Roederer; M Beaudoin; G Cloutier; P Roy; P Robillard
Journal:  Ultrasound Med Biol       Date:  1991       Impact factor: 2.998

4.  Scattering of ultrasound by blood.

Authors:  K K Shung; R A Sigelmann; J M Reid
Journal:  IEEE Trans Biomed Eng       Date:  1976-11       Impact factor: 4.538

5.  On estimating the number density of random scatterers from backscattered acoustic signals.

Authors:  G E Sleefe; P P Lele
Journal:  Ultrasound Med Biol       Date:  1988       Impact factor: 2.998

6.  Pulsed Doppler ultrasound system for the measurement of velocity distributions and flow disturbances in arterial prostheses.

Authors:  R A Black; T V How
Journal:  J Biomed Eng       Date:  1989-01

7.  In vitro comparison of alternative methods for quantifying the severity of Doppler spectral broadening for the diagnosis of carotid arterial occlusive disease.

Authors:  P G Kalman; K W Johnston; P Zuech; M Kassam; K Poots
Journal:  Ultrasound Med Biol       Date:  1985 May-Jun       Impact factor: 2.998

8.  Comparison of CW Doppler ultrasound spectra with the spectra derived from a flow visualization model.

Authors:  J K Poots; K W Johnston; R S Cobbold; M Kassam
Journal:  Ultrasound Med Biol       Date:  1986-02       Impact factor: 2.998

9.  Use of principal component factor analysis in the detection of carotid artery disease from Doppler ultrasound.

Authors:  S B Sherriff; D C Barber; T R Martin; J M Lakeman
Journal:  Med Biol Eng Comput       Date:  1982-05       Impact factor: 2.602

10.  Computer based pattern recognition of carotid artery Doppler signals for disease classification: prospective validation.

Authors:  Y E Langlois; F M Greene; G O Roederer; K A Jäger; D J Phillips; K W Beach; D E Strandness
Journal:  Ultrasound Med Biol       Date:  1984 Sep-Oct       Impact factor: 2.998

View more
  2 in total

1.  Effect of ensemble averaging on amplitude and feature variabilities of Doppler spectrograms recorded in the lower limb arteries.

Authors:  L Allard; Y E Langlois; L G Durand; G O Roederer; G Cloutier
Journal:  Med Biol Eng Comput       Date:  1992-05       Impact factor: 2.602

2.  Cardiac Doppler blood-flow signal analysis. Part 2. Time/frequency representation based on autoregressive modelling.

Authors:  Z Guo; L G Durand; L Allard; G Cloutier; H C Lee; Y E Langlois
Journal:  Med Biol Eng Comput       Date:  1993-05       Impact factor: 2.602

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.