Image data normalization for a monitoring system
First Claim
1. A method for providing normalized physiological monitoring data of an individual with a measure of the quality of the normalization, comprising;
- providing a reference feature based on a physiological attribute of the individual for which an attribute value can be determined;
unobtrusively capturing physiological monitoring data for the individual during a series of capture events and determining the capture conditions present during each capture event;
detecting the presence of the reference feature in the series of captured physiological monitoring data and determining associated attribute values for each capture event;
normalizing the captured physiological monitoring data from each capture event according to differences in the attribute values associated with each event and previously calculated attribute values; and
calculating normalization confidence values for the individual at the series of capture events, based on capture conditions, normalization transforms, or semantic data, wherein the confidence values statistically measure the quality of the normalization.
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Abstract
A method for providing normalized physiological monitoring data of an individual with a measure of the quality of the normalization, including providing a reference feature based on a physiological attribute of the individual for which an attribute value can be determined; unobtrusively capturing physiological monitoring data for the individual during a series of capture events and determining the capture conditions present during each capture event; detecting the presence of the reference feature in the series of captured physiological monitoring data and determining associated attribute values for each capture event; normalizing the captured physiological monitoring data from each capture event according to differences in the attribute values associated with each event and previously calculated attribute values; and calculating normalization confidence values for the individual at the series of capture events, based on capture conditions, normalization transforms, or semantic data, wherein the confidence values statistically measure the quality of the normalization.
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Citations
17 Claims
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1. A method for providing normalized physiological monitoring data of an individual with a measure of the quality of the normalization, comprising;
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providing a reference feature based on a physiological attribute of the individual for which an attribute value can be determined; unobtrusively capturing physiological monitoring data for the individual during a series of capture events and determining the capture conditions present during each capture event; detecting the presence of the reference feature in the series of captured physiological monitoring data and determining associated attribute values for each capture event; normalizing the captured physiological monitoring data from each capture event according to differences in the attribute values associated with each event and previously calculated attribute values; and calculating normalization confidence values for the individual at the series of capture events, based on capture conditions, normalization transforms, or semantic data, wherein the confidence values statistically measure the quality of the normalization. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method for providing normalized images of an individual from a physiological monitoring system comprising;
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providing a reference feature based on the sclera of one or more eyes of the individual from which color attribute values can be determined capturing an image of the individual during a first capture event and determining the presence of a reference feature in the captured image and determining a first attribute value; capturing an image of the individual during a second capture event and determining the presence of the reference feature in the second captured image and determining a second attribute value; and normalizing the second captured image according to differences between the first and second attribute values. - View Dependent Claims (16, 17)
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Specification