Method and Apparatus for Predicting Work of Breathing
First Claim
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1. A method for estimating effort of breathing of a patient, comprising:
- receiving respiratory parameters of the patient;
calculating respiratory data from the respiratory parameters;
inputting the respiratory data into a mathematical model created using clinical data;
providing at least one output variable from the mathematical model corresponding to effort of breathing.
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Abstract
A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or nonlinear calculations using multiple parameters derived from the above-mentioned sensors.
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Citations
23 Claims
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1. A method for estimating effort of breathing of a patient, comprising:
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receiving respiratory parameters of the patient; calculating respiratory data from the respiratory parameters; inputting the respiratory data into a mathematical model created using clinical data; providing at least one output variable from the mathematical model corresponding to effort of breathing. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for estimating effort of breathing of a patient, comprising:
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receiving respiratory parameters of a patient, wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram; calculating respiratory data from the respiratory parameters, wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform; inputting the respiratory data into a mathematical model configured from clinical data to predict effort of breathing; and providing at least one output variable from the mathematical model corresponding to effort of breathing. - View Dependent Claims (12)
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13. An apparatus for estimating effort of breathing of a patient, comprising:
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processing device for calculating respiratory data from respiratory parameters of the patient, wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram, and wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform; a mathematical modeling device created using clinical data to receive the respiratory data and predict effort of breathing; and an output signal that provides at least one output variable from the mathematical model corresponding to effort of breathing. - View Dependent Claims (14)
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15. A system for estimating effort of breathing of a patient, comprising:
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means for measuring respiratory parameters of the patient, wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram; means for calculating respiratory data from the respiratory parameters, wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform; means for predicting effort of breathing using a mathematical model created using clinical data that receives the respiratory data; and means for providing at least one output variable from the mathematical model corresponding to effort of breathing. - View Dependent Claims (16)
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17. A computer readable medium for estimating effort of breathing of a patient, comprising:
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code devices for receiving measured respiratory parameters of the patient, wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram; code devices for calculating respiratory data from the respiratory parameters, wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform; code devices for predicting effort of breathing using a mathematical model created using clinical data that receives the respiratory data; and code devices for providing at least one output variable from the mathematical model corresponding to effort of breathing. - View Dependent Claims (18)
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19. A method of modeling work of breathing for a ventilator patient comprising:
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monitoring a plurality of parameters related to a plurality of sample patient'"'"'s inspiratory effort while connected to respective ventilators; collecting information related to the parameters for a desired period of time; creating a mathematical model of patient inspiratory effort from the information collected for the plurality of patients over the desired period of time; and applying an input indicative of the ventilator patient'"'"'s current inspiratory effort to the mathematical model; and providing an actual breathing effort variable based on the input. - View Dependent Claims (20, 21)
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22. A system for predicting breathing effort of a patient connected to a ventilator comprising:
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a signal processor for collecting data corresponding to the patient'"'"'s inspiratory effort; a parameter extraction module for deriving desired parameters from the data corresponding to the patient'"'"'s inspiratory effort; and an adaptive processor for modeling the patient'"'"'s inspiratory effort from the desired parameters and providing a control variable responsive to at least one input indicative of the patient'"'"'s current inspiratory effort. - View Dependent Claims (23)
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Specification