Multi parametric classfication of cardiovascular sound
First Claim
1. A method of classifying a cardiovascular sound recorded from a living subject, said 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;
identifying noisy sub-segments;
discarding said noisy sub-segments;
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, wherein said first and second sub-segments from which said at least first and second signal parameters are respectively extracted are from the same diastolic or systolic segment; and
classifying said cardiovascular sound using said at least first signal parameter and said at least second signal parameter using a multiparametric discriminate function.
4 Assignments
0 Petitions
Accused Products
Abstract
A method, system, stethoscope and server for classifying a cardiovascular sound recorded from a living subject. The method comprises the steps of: identifying diastolic and/or systolic segments of the cardiovascular sound; dividing at least one of the 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 the first sub-segment at least a first signal parameter characterizing a first property of the cardiovascular sound, extracting from the second sub-segment at least a second signal parameter characterizing a second property of the cardiovascular sound; and classifying the cardiovascular sound using the at least first signal parameter and the at least second signal parameter in a multivariate classification method.
-
Citations
25 Claims
-
1. A method of classifying a cardiovascular sound recorded from a living subject, said 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; identifying noisy sub-segments; discarding said noisy sub-segments; 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, wherein said first and second sub-segments from which said at least first and second signal parameters are respectively extracted are from the same diastolic or systolic segment; and classifying said cardiovascular sound using said at least first signal parameter and said at least second signal parameter using a multiparametric discriminate function. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 25)
-
-
15. A system for classifying a cardiovascular sound recorded from a living subject, said system comprising:
-
processing means for identifying the diastolic and/or systolic segments of said cardiovascular sound; processing means for 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; processing means for identifying noisy sub-segments; processing means for discarding said noisy sub-segments; processing means for extracting from said first sub-segment at least a first signal parameter characterizing a first property of said cardiovascular sound, and processing means for extracting from said second sub-segment at least a second signal parameter characterizing a second property of said cardiovascular sound, wherein said first and second sub-segments from which said at least first and second signal parameters are respectively extracted from the same diastolic or systolic segment; processing means for classifying said cardiovascular sound using said at least first signal parameter and said at least second signal parameter using a multiparametric discriminate function. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24)
-
Specification