System And Method For Estimating Physiological Parameters By Deconvolving Artifacts
First Claim
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1. A method for noninvasively estimating physiological parameters comprising:
- detecting light from a plurality of light sources;
generating respective distributions for the detected light of each of the plurality of light sources;
deconvolving the distribution for the detected light of one of the plurality of light sources from each of the other distributions for the detected light from the other plurality of light sources to produce clean distributions; and
estimating physiological parameters based at least in part upon the clean distributions.
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Abstract
There is disclosed a system and methods to estimate physiological parameters. In accordance with embodiments a method is disclosed which includes generating distribution data for a plurality of signals. The method may also include deconvolving one of the plurality of signals from the other plurality of signals to produce clean signals. The clean signals may then be used to calculate physiological parameters.
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Citations
20 Claims
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1. A method for noninvasively estimating physiological parameters comprising:
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detecting light from a plurality of light sources; generating respective distributions for the detected light of each of the plurality of light sources; deconvolving the distribution for the detected light of one of the plurality of light sources from each of the other distributions for the detected light from the other plurality of light sources to produce clean distributions; and estimating physiological parameters based at least in part upon the clean distributions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for estimating the physiological parameters comprising:
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a sensor comprising; a plurality of light sources; and a detector configured to generate signals based on light from the plurality of light sources; and a monitor coupled to the sensor configured to; generate distribution data for each of the plurality of light sources; and deconvolve distribution data of one of the plurality of light sources from the distribution data of each of the other plurality of light sources. - View Dependent Claims (12, 13, 14, 15)
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16. A method of calibration comprising:
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collecting data during two time intervals; generating normalized density estimators representing the data collected during the two time intervals; and finding a transform function such that the equality f2*h1=f1*h2 is true, wherein f1 is a vector sequence representing data collected during the first time interval, f2 is a vector sequence representing data collected during the second time interval, h1 is a density estimator representing the data from the first time interval, h2 is a density estimator representing data from the second time interval, and “
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is the convolution operator. - View Dependent Claims (17, 18, 19, 20)
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Specification