Detecting and quantifying apnea using ventilatory cycle histograms
First Claim
1. A method comprising:
- deriving a ventilation related parameter in real-time from a patient;
deriving apneic intervals from the parameter;
distributing the apneic intervals as counts on a histogram;
calculating a centroid for each cluster of counts on the histogram diagnosing apnea as a function of the centroids; and
and delivering therapy to the patient in response to the detection of apnea.
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Abstract
Subject matter includes methods and devices for detecting and quantifying apnea. One exemplary implementation includes deriving a ventilation related parameter in real-time from a patient, deriving apneic intervals based on the parameter, distributing the apneic intervals as counts on a histogram, and calculating a single data point, such as a centroid, for clustered counts on the histogram. Centroids can be calculated at regular intervals and stored for lengthy periods, such as months, because they occupy very little storage space. A position of a centroid on the histogram can indicate an aspect of the patient'"'"'s health and changes in the centroid positions over time can be used to detect trend changes in the patient'"'"'s condition.
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Citations
15 Claims
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1. A method comprising:
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deriving a ventilation related parameter in real-time from a patient; deriving apneic intervals from the parameter; distributing the apneic intervals as counts on a histogram; calculating a centroid for each cluster of counts on the histogram diagnosing apnea as a function of the centroids; and and delivering therapy to the patient in response to the detection of apnea. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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Specification