Multi Parametric Classfication of Cardiovascular Sound
First Claim
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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;
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.
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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.
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Citations
27 Claims
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1. A method of classifying a cardiovascular sound recorded from a living subject, said method comprises the steps of:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 23, 24, 25, 26, 27)
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12. A system for classifying a cardiovascular sound recorded from a living subject, said system comprises:
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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 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; processing means for classifying said cardiovascular sound using said at least first signal parameter and said at least second signal parameter in a multivariate classification method. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification