Flow-independent parameter estimation based on tidal breathing exhalation profiles
AssigneeThe Regents of the University of California
InventorsSteven C. George, Peter Condorelli
Life of this patent
Estimating the term…
Abstract
Parametric characterization of nitric oxide (NO) gas exchange using a two-compartment model of the lungs is a non-invasive technique to characterize inflammatory lung diseases. The technique applies the two-compartment model to parametric characterization of NO gas exchange from a tidal breathing pattern. The model is used to estimate up to six flow-independent parameters, and to study alternate breathing patterns.
Claims25
A method of characterizing nitric oxide exchange in lungs during tidal breathing, comprising:
- utilizing a two compartment model, wherein a first compartment represents an alveolar region of the lungs and a second compartment represents an airway to the lungs;
- selecting several flow-independent parameters;
- and
- estimating the values of the parameters by utilizing the two compartment model fitted to previously obtained experimental data gathered during tidal breathing.
A model for the lungs and airways of a human respiratory system, comprising:
- a first compartment simulating an alveolar region of the lungs of the respiratory system;
- a second compartment simulating an airway region of the lungs of the respiratory system;
- and
- means for selectively characterizing up to and including six flow-independent parameters of NO exchange in the lungs during tidal breathing.
A method of determining which flow-independent parameters of nitric oxide exchange in the lungs are characterized within an interval of acceptable accuracy during tidal breathing, comprising:
- having a subject perform a tidal breathing maneuver;
- measuring and recording NO concentration and flow rate simultaneously during the maneuver;
- simulating the tidal breathing maneuver by a two-compartment model;
- fitting recorded data to simulated data from the two-compartment model;
- and
- comparing the recorded data and the simulated data.
A method of diagnosing a respiratory disease by utilizing data gathered during tidal breathing, comprising:
- having a subject perform a tidal breathing maneuver;
- measuring and recording NO concentration and flow rate simultaneously during the maneuver;
- simulating the tidal breathing maneuver by a two-compartment model;
- fitting recorded data to simulated data from the two-compartment model;
- and
- comparing the recorded data and the simulated data.
Dependencies are inferred from the claim text.