IP Library › Granted Patent US 10,271,767
Granted Patent B2
US 10,271,767 · App. 13/980,384 · Granted Apr 30, 2019

Automated spirogram analysis and interpretation

Inventors: Eric Helfenbein (Sunnyvale, CA); Sophia Huai Zhou (Briarcliff Manor, NY); Martin Mason (Andover, MA)
Assignee: KONINKLIJKE PHILIPS N.V.
A61B5/091A61B5/087A61B5/097A61B5/7221A61B5/7278A61B5/7475
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Quick Facts
Patent No.
US 10,271,767
App. No.
13/980,384
Granted
Apr 30, 2019
Kind
B2
Abstract

Automated analysis and interpretation of spirograms is provided to assess lung function of a subject. If the shape of a spirogram plot is deemed suitably reliable, the spirogram may be subsequently used for diagnostic purposes. Quality control of spirograms and/or interpretation of reliable spirograms may use shape templates corresponding to common test problems and/or typical lung diseases.

Claims (48)

1. A method for reducing computational resource usage for computer-assisted lung function diagnosis, the method comprising:

receiving, with one or more physical processors, measurements of expiratory volume of a subject during an expiration by the subject for a test;

creating a plot representing the measurements of expiratory volume of the subject;

determining, with one or more physical processors, shape templates associated with the test, wherein each of the shape templates represents expiratory volume measurements that are unreliable for the test;

determining, with one or more physical processors, whether to perform an automated interpretation process on the plot representing the measurements of expiratory volume of the subject such that:

(i) responsive to a shape representative of the plot corresponding to at least one of the shape templates associated with the test, performance of the automated interpretation process on the plot to generate a diagnosis for the subject is avoided; and

(ii) responsive to the shape representative of the plot not corresponding to any of the shape templates associated with the test, the automated interpretation process is performed on the plot by one or more physical processors to generate the diagnosis for the subject, wherein the automated interpretation process is configured to interpret expiratory volume measurements with respect to the test to generate the diagnosis, the diagnosis comprising an assessment regarding a lung function of the subject.

2. The method of claim 1 , further comprising:

adjusting, with one or more physical processors, the shape templates associated with the test based on one or more of a gender, age, height, weight, or ethnic background of the subject, wherein performance of the automated interpretation process on the plot to generate the diagnosis for the subject is avoided responsive to the shape representative of the plot corresponding to at least one of the adjusted shape templates, and wherein the automated interpretation process is performed on the plot by one or more physical processors to generate the diagnosis for the subject responsive to the shape representative of the plot not corresponding to any of the adjusted shape templates.

3. The method of claim 1 , wherein the shape templates associated with the test includes plotted representations of sub-maximal expiratory effort, a delay in initiation of expiration, a shortening of expiratory duration, a delay in reaching maximum expiratory flow rate, coughing during expiration, glottic obstruction, and/or air leakage.

4. The method of claim 1 , further comprising:

determining, with one or more physical processors, shape templates associated with lung diseases, wherein each of the shape templates represents expiratory volume measurements for a lung disease, wherein:

the automated interpretation process comprises determining whether the shape representative of the plot corresponds to any of the shape templates associated with lung diseases, and

the shape templates associated with lung diseases includes plotted representations of an obstructive lung disease, a restrictive lung disease, and/or a combined obstructive-restrictive lung disease.

5. The method of claim 1 , further comprising:

determining, with one or more physical processors, a matching quantifier indicating a degree to which the shape representative of the plot matches one of the shape templates associated with the test; and

determining, with one or more physical processors, that the shape representative of the plot does not correspond to any of the shape templates associated with the test responsive to the matching quantifier not satisfying a matching quantifier threshold level.

6. A system for reducing computational resource usage for computer-assisted lung function diagnosis, the system comprising: one or more physical processors configured by machine readable instructions to:

receive measurements of expiratory volume of a subject during an expiration by the subject for a test;

create a plot representing the measurements of the expiratory volume of the subject;

determine shape templates associated with the test, wherein each of the shape templates represents expiratory volume measurements that are unreliable for the test;

determine whether to perform an automated interpretation process on the plot representing the measurements of expiratory volume of the subject such that:

(i) responsive to a shape representative of the plot corresponding to at least one of the shape templates associated with the test, performance of the automated interpretation process on the plot to generate a diagnosis for the subject is avoided, and

(ii) responsive to the shape representative of the plot not corresponding to any of the shape templates associated with the test, the automated interpretation process is performed on the plot by one or more physical processors to generate the diagnosis for the subject, wherein the automated interpretation process is configured to interpret expiratory volume measurements with respect to the test to generate the diagnosis, the diagnosis comprising an assessment regarding a lung function of the subject.

7. The system of claim 6 , wherein the one or more processors are configured to adjust the shape templates associated with the test based on one or more of a gender, age, height, weight, or ethnic background of the subject, wherein performance of the automated interpretation process on the plot to generate the diagnosis for the subject is avoided responsive to the shape representative of the plot corresponding to at least one of the adjusted shape templates, and wherein the automated interpretation process is performed on the plot by one or more physical processors to generate the diagnosis for the subject responsive to the shape representative of the plot not corresponding to any of the adjusted shape template.

8. The system of claim 6 , wherein the shape templates associated with the test includes plotted representations of sub-maximal expiratory effort, a delay in initiation of expiration, a shortening of expiratory duration, a delay in reaching maximum expiratory flow rate, coughing during expiration, glottic obstruction, and/or air leakage.

9. The system of claim 6 , wherein the one or more physical processors are configured to determine shape templates associated with lung diseases, wherein each of the shape templates represents expiratory volume measurements for a lung disease, and wherein:

the automated interpretation process comprises determining whether the shape representative of the plot corresponds to any of the shape templates associated with lung diseases, and

the shape templates associated with lung diseases includes plotted representations of an obstructive lung disease, a restrictive lung disease, and/or a combined obstructive-restrictive lung disease.

10. The system of claim 6 , wherein the one or more physical processors are configured to:

determine a matching quantifier indicating a degree to which the shape representative of the plot matches one of the shape templates associated with the test; and

determining, with one or more physical processors, that the shape representative of the plot does not correspond to any of the shape templates associated with the test responsive to the matching quantifier not satisfying a matching quantifier threshold level.

11. A tangible, non-transitory, machine-readable media storing instructions that, when executed by one or more physical processors, effectuate operations comprising:

receiving measurements of expiratory volume of a subject during an expiration by the subject for a test;

creating a plot representing the measurements of expiratory volume of the subject;

determining shape templates associated with the test, wherein each of the shape templates represents expiratory volume measurements that are unreliable for the test;

determining whether to perform an automated interpretation process on the plot representing the measurements of expiratory volume of the subject such that:

(i) responsive to a shape representative of the plot corresponding to at least one of the shape templates associated with the test, performance of the automated interpretation process on the plot to generate a diagnosis for the subject is avoided; and

(ii) responsive to the shape representative of the plot not corresponding to any of the shape templates associated with the test, the automated interpretation process is performed on the plot by one or more physical processors to generate the diagnosis for the subject, wherein the automated interpretation process is configured to interpret expiratory volume measurements with respect to the test to generate the diagnosis, the diagnosis comprising an assessment regarding a lung function of the subject.

12. The tangible, non-transitory media of claim 11 , wherein the operations comprise: adjusting the shape templates associated with the test based on one or more of a gender, age, height, weight, or ethnic background of the subject, wherein performance of the automated interpretation process on the plot to generate the diagnosis for the subject is avoided responsive to the shape representative of the plot corresponding to at least one of the adjusted shape templates, and wherein the automated interpretation process is performed on the plot by one or more physical processors to generate the diagnosis for the subject responsive to the shape representative of the plot not corresponding to any of the adjusted shape templates.

13. The tangible, non-transitory media of claim 11 , wherein the shape templates associated with the test include plotted representations of sub-maximal expiratory effort, a delay in initiation of expiration, a shortening of expiratory duration, a delay in reaching maximum expiratory flow rate, coughing during expiration, glottic obstruction, and/or air leakage.

14. The tangible, non-transitory media of claim 11 , wherein the operations comprise:

determining shape templates associated with lung diseases, wherein each of the shape templates represents expiratory volume measurements for a lung disease, wherein:

the automated interpretation process comprises determining whether the shape representative of the plot corresponds to any of the shape templates associated with lung diseases, and

the shape templates associated with lung diseases include plotted representations of an obstructive lung disease, a restrictive lung disease, and/or a combined obstructive-restrictive lung disease.

15. The tangible, non-transitory media of claim 11 , wherein the operations comprise:

determining, with one or more physical processors, a matching quantifier indicating a degree to which the shape representative of the plot matches one of the shape templates associated with the test; and

determining, with one or more physical processors, that the shape representative of the plot does not correspond to any of the shape templates associated with the test responsive to the matching quantifier not satisfying a matching quantifier threshold level.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 18, 2013
From: HELFENBEIN, ERIC; ZHOU, SOPHIA HUAI; MASON, MARTIN
To: KONINKLIJKE PHILIPS ELECTRONICS N V
Reel/Frame 030825/0418 →
Continuity (2)
Provisional Application 61437806 · Jan 31, 2011
Related Publication 20130303932A1 · Nov 14, 2013