Model-based method for assessing acoustic signal quality in heart monitoring device
First Claim
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1. A heart monitoring device, comprising:
- a sound capture element configured to capture heart sounds and generate an acoustic signal containing the heart sounds; and
an acoustic signal processing element operatively coupled with the capture element and configured to generate from the acoustic signal over a time window a personal heart sound interval distribution, determine a best fit between the personal interval distribution and a global heart sound interval distribution, determine a fit quality value indicative of quality of the best fit and select a processing action for the time window using the fit quality value, wherein the processing element is configured to determine the best fit at least in part by generating a personal heart sound interval distribution curve and comparing fit errors between the personal interval distribution curve and a parameterized global heart sound interval distribution curve for different values of at least one parameter of the global interval distribution curve.
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Abstract
A model-based method for assessing acoustic signal quality in a heart monitoring device. The personal heart sound interval distribution of a person being actively monitored is compared with a modeled global heart sound interval distribution shared by most human beings after which processing action is taken consistent with the quality assessment. The error in the best fit between the personal interval distribution and the global interval distribution is presumed to be caused predominantly by noise, allowing the quality of the fit to serve as a proxy for the level of noise in the acoustic signal and used in making processing decisions.
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Citations
12 Claims
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1. A heart monitoring device, comprising:
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a sound capture element configured to capture heart sounds and generate an acoustic signal containing the heart sounds; and an acoustic signal processing element operatively coupled with the capture element and configured to generate from the acoustic signal over a time window a personal heart sound interval distribution, determine a best fit between the personal interval distribution and a global heart sound interval distribution, determine a fit quality value indicative of quality of the best fit and select a processing action for the time window using the fit quality value, wherein the processing element is configured to determine the best fit at least in part by generating a personal heart sound interval distribution curve and comparing fit errors between the personal interval distribution curve and a parameterized global heart sound interval distribution curve for different values of at least one parameter of the global interval distribution curve. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification