A Double-Gaussian, Percentile-Based Method for Estimating Maximum Blood Flow Velocity
نویسندگان
چکیده
منابع مشابه
A double-gaussian, percentile-based method for estimating maximum blood flow velocity.
OBJECTIVES Transcranial Doppler sonography allows for the estimation of blood flow velocity, whose maximum value, especially at systole, is often of clinical interest. Given that observed values of flow velocity are subject to noise, a useful notion of "maximum" requires a criterion for separating the signal from the noise. All commonly used criteria produce a point estimate (ie, a single value...
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OBJECTIVES A gaussian mixture model (GMM) was recently developed for estimating the probability density function of blood flow velocity measured with transcranial Doppler ultrasound data. In turn, the quantiles of the probability density function allow one to construct estimators of the "maximum" blood flow velocity. However, GMMs assume gaussianity, a feature that is not omnipresent in observe...
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Theorem 2. If we compare the expected value of DE reported in Equation (4) with the value of the estimator WE in Equation (3), we can notice strong similarities. The main difference is that in DE the sample mean of variable Xi and its probability of being the maximum are computed w.r.t. two independent set of samples, while in WE these two quantities are positively correlated. It follows that W...
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ژورنال
عنوان ژورنال: Journal of Ultrasound in Medicine
سال: 2013
ISSN: 0278-4297
DOI: 10.7863/ultra.32.11.1913