Ventilation triggering using change-point detection
First Claim
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1. A method for ventilating a patient with a ventilator, comprising:
- monitoring a parameter signal during exhalation;
determining a stable portion of exhalation based at least on the parameter signal for a current computational cycle;
setting an initial probability for each of a null hypothesis and a trigger hypothesis based on a current exhalation time;
calculating a mean of the parameter signal based on a predetermined set of parameter signals for a most recent set of computational cycles;
updating a noise estimate based at least on the mean of the parameter signal;
calculating a residual for the null hypothesis and the trigger hypothesis based at least on the parameter signal for the current computational cycle;
calculating a first probability for the null hypothesis and calculating a second probability for the trigger hypothesis for the parameter signal for the current computational cycle based on the initial probability, the noise estimate, and the residual;
comparing the first probability and the second probability to a threshold; and
controlling ventilation delivered to the patient by the ventilator based on the comparison.
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Abstract
The systems and methods provide for novel a triggering mode that allows the patient to trigger or initiate the delivery of a breath during ventilation on a ventilator. Further, the systems and methods provide for triggering ventilation utilizing a statistical trigger mode. Additionally, the systems and methods provide for analyzing and/or displaying information related to a potential change in a triggering threshold for a currently utilized breath type.
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Citations
10 Claims
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1. A method for ventilating a patient with a ventilator, comprising:
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monitoring a parameter signal during exhalation; determining a stable portion of exhalation based at least on the parameter signal for a current computational cycle; setting an initial probability for each of a null hypothesis and a trigger hypothesis based on a current exhalation time; calculating a mean of the parameter signal based on a predetermined set of parameter signals for a most recent set of computational cycles; updating a noise estimate based at least on the mean of the parameter signal; calculating a residual for the null hypothesis and the trigger hypothesis based at least on the parameter signal for the current computational cycle; calculating a first probability for the null hypothesis and calculating a second probability for the trigger hypothesis for the parameter signal for the current computational cycle based on the initial probability, the noise estimate, and the residual; comparing the first probability and the second probability to a threshold; and controlling ventilation delivered to the patient by the ventilator based on the comparison. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification