Sound-based spirometric devices, systems and methods

Patent metadata

Field	Value
Publication number	US-10028675-B2
Application number	US-201314400064-A
Country	US
Kind code	B2
Filing date	May 10, 2013
Priority date	May 10, 2012
Publication date	Jul 24, 2018
Grant date	Jul 24, 2018

Abstract

Devices, system, and methods generate expiratory flow-based pulmonary function data by processing a digital audio file of sound of a subject's forced expiratory maneuver. A mobile device configured to generate expiratory flow-based pulmonary function data includes a microphone, a processor, and a data storage device. The microphone is operable to convert sound of the subject's forced expiratory maneuver into a digital data file. The processor is operatively coupled with the microphone. The data storage device is operatively coupled with the processor and stores instructions that, when executed by the processor, cause the processor to process the digital data file to generate expiratory flow-based pulmonary function data for assessing pulmonary function of the subject. The sound of the subject's forced expiratory maneuver can be converted into the digital data file without contact between the subject's mouth and the mobile device.

First claim

What is claimed is:

1. A handheld mobile device configured to generate expiratory flow-based pulmonary function data, the device comprising:
a microphone operable to convert sound of a subject's forced expiratory maneuver into a digital data file, wherein the sound of the subject's forced expiratory maneuver includes sound projected from the subject's mouth without use of a mouthpiece during the subject's forced expiratory maneuver; and
a processor operatively coupled with the microphone; and
a data storage device operatively coupled with the processor and storing instructions that, when executed by the processor, cause the processor to process the digital data file to generate expiratory flow-based pulmonary function data for assessing pulmonary function of the subject including calculating at least one flow rate based on an estimated model of the subject's vocal tract and estimated reverberation of sound around the subject's head, wherein processing the digital data file includes at least one of the group consisting of: (1) compensating for estimated pressure losses sustained over a distance between the subject and the microphone, and (2) compensating for at least one of reverberations and reflections of sound of the forced expiratory maneuver.

2. The handheld mobile device of claim 1 , wherein the sound of the subject's forced expiratory maneuver is converted into the digital data file without contact between the subject's mouth and the mobile device.

3. The handheld mobile device of claim 1 , wherein the expiratory flow-based pulmonary function data includes at least one expiratory flow-based pulmonary function assessment parameter selected from the group consisting of: (1) Forced Vital Capacity (FVC), (2) Forced Expiratory Volume in one second (FEV1), (3) FEV1/FVC, (4) Peak Expiratory Flow (PEF), and (5) Forced Expiratory Flow between 25% and 75% of FVC (FEF(25-75)).

4. The handheld mobile device of claim 3 , wherein the expiratory flow-based pulmonary function data includes at least one expiratory flow-based pulmonary function assessment metric that is based on at least one of the group consisting of: (1) FVC, (2) FEV1, (3) PEF, and (4) FEF(25-75).

5. The handheld mobile device of claim 1 , wherein the expiratory flow-based pulmonary function data includes at least one expiratory flow-based pulmonary function assessment relationship selected from the group consisting of: (1) Flow vs. Time (FT), (2) Volume vs. Time (VT), and (3) Flow vs. Volume (FV).

6. The handheld mobile device of claim 1 , wherein processing the digital data file includes modeling and removing superfluous sound generated by airflow of the forced expiratory maneuver.

7. The handheld mobile device of claim 6 , wherein the superfluous sound is generated by airflow of the forced expiratory maneuver through at least one of the group consisting of: (1) the subject's vocal tract, (2) the subject's mouth, and (3) the subject's surrounding environment.

8. The handheld mobile device of claim 1 , wherein processing the digital data file includes isolating at least one sound related to airflow of the forced expiratory maneuver and assessing intensity of the isolated at least one sound.

9. The handheld mobile device of claim 8 , wherein the isolated at least one sound includes sound from at least one of the group consisting of: (1) wind shear, (2) vocal tract resonances, (3) wheezes, and (4) nasal resonances.

10. The handheld mobile device of claim 1 , wherein processing the digital data file includes using inverse radiation modeling to at least one of the group consisting of: (1) compensate for estimated pressure losses sustained over a distance between the subject and the microphone, and (2) compensate for at least one of reverberations and reflections of sound of the forced expiratory maneuver.

11. The handheld mobile device of claim 1 , wherein processing the digital data file includes removing the effects of AC-coupling by using at least one of the group consisting of: (1) signal power, (2) frequency characteristics, and (3) models of the subject's vocal tract.

12. The handheld mobile device of claim 1 , wherein processing the digital data file includes removing non-linearity by combining at least two flow approximations based on the digital data file with one another.

13. The handheld mobile device of claim 1 , wherein processing the digital data file includes using a global model that is based on a plurality of digital data files of sound recorded during different forced expiratory maneuvers.

14. The handheld mobile device of claim 13 , wherein processing the digital data file includes generating Peak Expiratory Flow (PEF) and the global model comprises a global model of PEF rates of different expiratory maneuvers.

15. The handheld mobile device of claim 13 , wherein processing the digital data file includes generating Forced Vital Capacity (FVC) and the global model comprises a global model of FVC values of different expiratory maneuvers.

16. The handheld mobile device of claim 13 , wherein processing the digital data file includes generating Forced Expiratory Volume in one second (FEV1) and the global model comprises a global model of FEV1 values of different expiratory maneuvers.

17. The handheld mobile device of claim 1 , wherein processing the digital data file includes calculating flow volume expelled through the subject's mouth by estimating flow velocity through the subject's mouth and flow area of the subject's mouth.

18. The handheld mobile device of claim 1 , wherein processing the digital data file includes using a personalized model for a particular subject that is created by calibrating the expiratory flow-based pulmonary function data generated by the mobile device for the particular subject relative to expiratory flow-based pulmonary function data for the particular subject that is generated by another device.

19. The handheld mobile device of claim 1 , wherein the digital data file is indicative of sound of the subject's unaided forced expiratory maneuver.

20. The handheld mobile device of claim 1 , wherein the digital data file is indicative of sound pressure generated by the subject's forced expiratory maneuver.

Assignees

• Univ Washington Through Its Center For Commercialization

Inventors

• Patel Shwetak N
• Goel Mayank
• Larson Eric C

Classifications

• A61B5/087 Primary

  Measuring breath flow · CPC title

• A61B5/7253

  characterised by using transforms · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• A61B5/0022

  Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

• A61B5/0871

  Peak expiratory flowmeters · CPC title