ISSN:
1741-0444
Keywords:
Carotid artery
;
Doppler ultrasound
;
Feature extraction
;
Principal component factor analysis
;
Transient cerebral ischaemia
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
,
Chemistry and Pharmacology
,
Medicine
Notes:
Abstract Principal component factor analysis, a mathematical feature extraction technique, has been used to analyse the total information contained in the Doppler signal. In this study two patient groups have been investigated, normals and stenoses of less than 50%. The patients have been classified according to angiographic findings (patients with hypertension, migrane, heart disease, etc. havenot been excluded). The results from the principal component analysis technique have been compared with the more familiar A/B ratio based on the maximum frequency enevelope. Of the 25 normal vessel segments 20 were classified as normal by the A/B ratio technique and 22 by the principal component technique, while of the 19 abnormal vessels 13 were classified as abnormal by the A/B technique and 17 by the principal component analysis. Also the principal component analysis of the total Doppler signal was statistically superior to the A/B ratio in separating the two groups examined in this study.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02442803
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