Acarix as

Aalborg Universitet

Region Nordjylland, Aalborg Sygehus

Samuel Emil Schmidt

Johannes Jan Struijk

Claus Graff

Lasse Riis Østergaard

Niels-Henrik Staalsen

Kasper Lundhus

Michael Svorkmo

Johannes Struijk

Kasper SØRENSEN

The proposed technology relates to a method for indicating a risk for coronary artery disease. A sound recording is obtained () covering a plurality of heartbeats, a plurality of heart sounds are identified () in the sound recording, and a plurality of segments are obtained () from the sound recording. A frequency power measure is determined () based on the signal strength of a first frequency window of a period in the diastole, an amplitude of the fourth heart sound is determined () based on the plurality of heart sounds and the plurality of segments, and an indication of a heart rate variability is determined () based on the plurality of heart sounds. The indication of the risk for coronary artery disease is then determined () based on the frequency power measure, the amplitude of the fourth heart sound, and the indication of the heart rate variability.

Risk determination of coronary artery disease

A way of indicating a risk for coronary artery disease is disclosed. A first plurality of first sound recordings of heartbeats and second plurality of second sound recording of the ambient background are obtained. A filtering of each first sound recording is performed by using a simultaneously recorded second sound recording. The filtering of each first sound recording involves determining a diastolic period of the heartbeat of the first sound recording, and performing an adaptive filtering of the first sound recording based in the diastolic period of the first sound recording and the simultaneously recorded second sound recording. This is followed by determination of an indication of the risk for coronary artery disease based on the filtered first sound recordings.

Indication of risk for coronary artery disease

A system and method for diagnosing coronary artery disease (CAD) comprises an acoustic sensor to be placed on the chest of a patient to generate acoustic signals S: a control unit adapted to receive said acoustic signals S, the control unit comprising: an identification unit to identify diastolic or systolic periods in a predetermined time period and to generate a period signal S; a filtering unit adapted to apply a filter to said identified periods to generate a low frequency band signal Sand a high frequency band signal Sof said identified periods; and a calculation unit, to calculate a low frequency power measure Sand a high frequency feature measure S. A risk-determining unit provides a risk-of-CAD signal based on the low frequency power measure and the high frequency feature measure. The invention also relates to a stethoscope and a method for detection of low frequency power.

System and method for indicating coronary artery disease risk based on low and high frequency bands

The invention relates to a method for providing quantitative measures of the flow property of a blood vessel. The method is based on analyzing cross-sectional images of a vessel by estimating the area of the lumen of the vessel. The method comprises steps of determining a point contained within the walls of the vessel, determining a closed path which approximates the inner circumference of the wall of the vessel, and determining the area of the closed path when the vessel is most expanding in order to get a measurement of the maximum lumen. This method may enable the clinical personnel to quickly evaluate the flow property e.g. of an inserted bypass vessel and, thereby, conclude if the surgical intervention is successful or if adjustments are required.

System for determining flow properties of a blood vessel

A system for detection of frequency power for diagnosing coronary artery disease (CAD), comprising: an acoustic sensor to be placed on the chest of a patient to generate acoustic signals S: a memory adapted to store acoustic signals S; a control unit adapted to receive said acoustic signals S; the control unit comprising: an identification unit to identify diastolic or systolic periods in a predetermined time period and to generate a period signal S, a filtering unit adapted to apply a filter to said identified periods to generate a low frequency band signal Sindicating low frequency bands of identified periods; a calculation unit to estimate the power in said low frequency band of identified periods, to calculate a low frequency power measure and to generate a low frequency power measure signal S. The invention also relates to a stethoscope and a method for detection of low frequency power.

System, stethoscope and method for indicating risk of coronary artery disease

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.

Multi parametric classfication of cardiovascular sound

This invention describes a method for dividing a substantial cycli cardiovascular signal into segments by determining the characteristics of said cyclic signal, wherein each cycle in said signal comprises at least two characteristic segments and wherein the method comprises the steps o identifying segments in a cycle based on prior knowledge of said segment characteristics and the step of verifying said identified segments based on a number of statistical parameters obtained from prior knowledge relating to said cyclic signal. Furthermore, the invention describes a system adapted to perform the above-described method.

Method for segmenting a cardiovascular signal

The invention relates to segmentation of cardiac acoustic signals, such as the heart sound signal, based on statistical algorithms. A duration-dependent Hidden Markov Model is disclosed which models the shifting states of the heart, based on the cardiac acoustic signal and the time spent in the given states relating to physiological events, e.g. the various states of the heart during the heart beat cycle.

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Aalborg, Denmark

Samuel Emil Schmidt