Abstract
The usefulness of principal components factor analysis as a way of classifying Doppler waveforms from the carotid artery has been established. The waveform is first reduced to a small set of coefficients which capture, via their associated principal components, the essential shape of the waveform. The vector of these coefficients can be used to classify the waveform by finding the position of this vector in a classification space relative to one or more classifying surfaces. This short communication will show how these two steps may be combined to produce a single factor for classification.
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Schedule a callMore From: Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics
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