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Pattern recognition system for quantifying the likelihood of the contribution of multiple possible forms of chronic disease to patient reported dyspnea

  • US 10,010,264 B2
  • Filed: 07/25/2014
  • Issued: 07/03/2018
  • Est. Priority Date: 07/25/2013
  • Status: Active Grant
First Claim
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1. A system for characterizing contributions of physiological conditions to dyspnea in a patient, the system comprising:

  • a flow sensor configured to sense a respiratory flow of the patient;

    an analyzer configured to determine a composition of at least a portion of the respiratory flow of the patient;

    a computing device configured to;

    receive heart rate data and gas exchange measurements, wherein the gas exchange measurements are based on breath-by-breath data captured by the flow sensor and the analyzer during a gas exchange test that includes at least a rest phase and an exercise phase;

    repeatedly evaluate one or more of a respiratory exchange rate based on the received gas exchange measurements and a heart rate based on the received heart rate data on a breath-by-breath basis to determine when a predetermined target metric corresponding to exertion level is reached;

    determine a plurality of contribution values that are each associated with a different physiological condition, wherein the plurality of contribution values are numeric values based on the gas exchange measurements captured on the breath-by-breath basis during the rest phase and the exercise phase and each of the plurality of contribution values corresponds to a likelihood that the associated physiological condition contributes to dyspnea in the patient; and

    output the plurality of contribution values.

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