Diagnostic Accuracy of an Algorithm for Discriminating Presumed Solid and Gaseous Microembolic Signals During Transcranial Doppler Examinations
The aim of the work described here was to assess the diagnostic accuracy of a new algorithm (SGA-a) for time-domain analysis of transcranial Doppler audio signals to discriminate presumed solid and gaseous microembolic signals and artifacts (SGAs).
Source: Ultrasound in Medicine and Biology - Category: Radiology Authors: Rudolf W.M. Keunen, Sayonara M. Daal, Geert Jan Romers, Gerard J.F. Hoohenkerk, Paulien M. van Kampen, Willem J.L. Suyker Tags: Original Contribution Source Type: research