Multi Parametric Classfication of Cardiovascular Sound

Abstract

The present invention relates to a method for classifying a cardiovascular sound recorded from a living subject. The method comprises the steps of: identifying diastolic and/or systolic segments of said cardiovascular sound; dividing at least one of said identified diastolic and/or systolic segments into a number of sub-segments comprising at least a first sub-segment and at least a second sub-segment; extracting from said first sub-segment at least a first signal parameter characterizing a first property of said cardiovascular sound, extracting from said second sub-segment at least a second signal parameter characterizing a second property of said cardiovascular sound; classifying said cardiovascular sound using said at least first signal parameter and said at least second signal parameter in a multivariate classification method. Furthermore, the invention relates to a system, stethoscope and server for classifying a cardiovascular sound recorded from a living subject, where the above-described method has been implemented.

Dependencies are inferred from the claim text.