Systems and methods for measuring critical closing pressure and tissue perfusion pressure
AssigneeThe General Hospital Corporation
InventorsAaron D. Aguirre, Anand Chandrasekhar, Raimon Padrós I Valls
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Abstract
In some aspects, a method for determining critical closing pressure (Pcrit) of a patient is provided. The method includes accessing physiological patient data that characterizes pressure parameters and surrogate flow data. The physiological patient data characteries at least two time points. The method further includes using a processor to determine Pcrit based on the physiological patient data. The method also includes generating a report based on the determined Pcrit of the patient.
Claims26
A method for determining critical closing pressure (Pcrit) of a patient, the method comprising the steps of:
- accessing physiological patient data that characterizes pressure parameters and surrogate flow data, the physiological patient data characterizing at least two time points;
- using a processor to determine Pcrit based on the physiological patient data;
- and
- generating a report based on the determined Pcrit of the patient.
A system for measuring critical closing pressure (Pcrit) of a patient, the system comprising:
- a pressure/flow measurement module configured to measure physiological patient data that characterizes pressure parameters and surrogate flow data at two or more time points;
- a processor configured to:
- identify pressure parameters characterizing the two or more time points based on the physiological patient data, the pressure parameters comprising at least one of MAP, SBP, or DBP;
- identify surrogate flow data characterizing the two or more time points based on the physiological patient data;
- map a pressure-flow relationship for the two or more time points and calculate a measure of Pcrit as a zero-flow intercept of the pressure-flow relationship;
- and
- generate a report based on the measure of Pcrit of the patient.
A system for measuring critical closing pressure (Pcrit) of a patient, the system comprising:
- a pressure/flow measurement module configured to determine physiological patient data that characterizes cardiovascular dynamics of two or more cardiac cycles;
- a processor configured to:
- access a trained machine learning algorithm;
- and
- apply the trained machine learning algorithm to the physiological patient data to estimate a measure of Pcrit for the patient, wherein the trained machine learning algorithm was trained on training data comprising paired physiological patient data and Pcrit label data for a plurality of subjects.
Dependencies are inferred from the claim text.