DETERMINING RESPIRATORY PARAMETERS

• US 20160106341A1
• Filed: 03/28/2014
• Published: 04/21/2016
• Est. Priority Date: 07/09/2013
• Status: Active Application

• Current Assignee: PulmOne Advanced Medical Devices, Ltd.
• Original Assignee: PulmOne Advanced Medical Devices, Ltd.
• Inventors: Adam, Ori, Laprad, Adam, Peles, Zachi, Solway, Julian, Cohen, Inon, Fredberg, Jeffrey J.
• Application Number:
  US14/780,950
• Publication Number:
  US 20160106341A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/12 Healthy persons not otherwise provided for, e.g. subjects of a marketing survey
• CPC Class Codes: A61B 2503/42 for laboratory research
• CPC Class Codes: A61B 2505/03 Intensive care
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 5/0806 by whole-body plethysmography measuring blood flow using plethysmography A61B5/0295; impedance plethysmography A61B5/053; measuring volume of the body or parts thereof A61B5/1073
• CPC Class Codes: A61B 5/085 Measuring impedance of respiratory organs or lung elasticity
• CPC Class Codes: A61B 5/087 Measuring breath flow
• CPC Class Codes: A61B 5/091 Measuring volume of inspired or expired gases, e.g. to determine lung capacity
• CPC Class Codes: A61B 5/097 Devices for facilitating collection of breath or for directing breath into or through measuring devices
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 6/032 Transmission computed tomography [CT]

Abstract

A pulmonary measurement system includes a pulmonary measurement device that includes a mouthpiece with an airflow path and a sensor positioned in the airflow path; and a controller communicably coupled to the sensor. The controller includes a processor and instructions stored in memory and is operable to execute the instructions with the processor to perform operations including identifying a measurement from the sensor; identifying a particular equation stored in the memory, the particular equation developed using data analytics and including an input parameter that is based on the identified measurement; and based on the identified measurement and the particular equation, determining a value of absolute lung volume.

Claims

1. A pulmonary measurement system, comprising:

a pulmonary measurement device that comprises;

a mouthpiece that comprises an airflow path; and

a sensor positioned in the airflow path; and

a controller communicably coupled to the sensor, the controller comprising a processor and instructions stored in memory, the controller operable to execute the instructions with the processor to perform operations comprising;

identifying a measurement from the sensor;

identifying a particular equation stored in the memory, the particular equation developed using data analytics and comprising an input parameter that is based on the identified measurement; and

based on the identified measurement and the particular equation, determining a value of absolute lung volume.

2. The pulmonary measurement system of claim 1, wherein the sensor comprises at least one of an airflow sensor or a pressure sensor.

3. The pulmonary measurement system of claim 1, wherein the controller is operable to execute the instructions with the processor to perform further operations comprising:

determining the input parameter to the particular equation based on the measurement; and

calculating the value of absolute lung volume based on the input parameter.

4. The pulmonary measurement system of claim 1, wherein the input parameter comprises a parameter related to respiratory function, respiratory mechanics, respiratory health, or general health.

5. The pulmonary measurement system of claim 1, wherein the input parameter comprises at least one of an airway opening pressure, a derivative of the airway opening pressure, an integral of the airway opening pressure, an airway opening flowrate, a derivative of the airway opening flowrate, an integral of the airway opening flowrate, a parameter derivable from forced spirometry, a parameter derivable from slow spirometry, a mechanical impedance, a parameter derivable from forced oscillations, a parameter derivable from impulse oscillometry, a time constant of a pressure decay or rise, or a time constant of a flowrate decay or rise.

6. The pulmonary measurement system of claim 1, wherein the pulmonary measurement device comprises one of:

(a) a spirometer;

(b) a forced oscillation device;

(c) an advanced flow interruption device;

(d) a flow interruption device;

(e) a combination spirometer-flow interruption device;

or

(f) a combination device of two or more of (a)-(e).

7. The pulmonary measurement system of claim 1, further comprising a handheld housing that at least partially encloses or couples to the pulmonary measurement device and the controller.

8. The pulmonary measurement system of claim 1, wherein identifying a particular equation comprises identifying the particular equation from a plurality of equations that are stored in the memory.

9. The pulmonary measurement system of claim 8, wherein the controller is operable to execute the instructions with the processor to perform further operations comprising:

identifying a second particular equation of the plurality of equations that are stored in the memory, the second particular equation developed using data analytics and comprising a second input parameter that is based on the identified measurement; and

based on the identified measurement and the second particular equation, determining at least one of total lung capacity (TLC), functional residual capacity (FRC), thoracic gas volume (TGV), residual volume (RV), diffusing capacity of the lung for carbon monoxide (D_LCO), airway resistance, lung elasticity, or lung tissue compliance.

10. The pulmonary measurement system of claim 8, wherein the controller is operable to execute the instructions with the processor to perform further operations comprising:

identifying a second particular equation of the plurality of equations that are stored in the memory, the second particular equation developed using data analytics and comprising a second input parameter that is based on the identified measurement; and

based on the identified measurement and the second particular equation, determining at least one qualitative indicator of respiratory health.

11. The pulmonary measurement system of claim 10, wherein the at least one qualitative indicator of respiratory health comprises a diagnosis of:

health, obstructive respiratory disease, restrictive respiratory disease, mixed defect, pulmonary vascular disorder, chest wall disorder, neuromuscular disorder, interstitial lung disease, pneumonitis, asthma, chronic bronchitis, or emphysema.

12. The pulmonary measurement system of claim 1, wherein the particular equation is derived from a training population that comprises a plurality of healthy subjects.

13. The pulmonary measurement system of claim 12, wherein the particular equation is derived from a training population that further comprises a plurality of unhealthy subjects.

14. The pulmonary measurement system of claim 13, wherein each of the plurality of unhealthy subjects has one or more respiratory diseases.

15. The pulmonary measurement system of claim 12, wherein the particular equation comprises a constant that is calculated based on a respiratory measurement technique performed on the training population.

16. The pulmonary measurement system of claim 15, wherein the respiratory measurement technique comprises at least one of body plethysmography, helium dilution, or thoracic computed tomography (CT) imaging.

17. The pulmonary measurement system of claim 12, wherein the training population comprises historical or public data.

18. The pulmonary measurement system of claim 12, wherein the training population comprises a first portion and a second portion, each of the first and second portions defined by a classifier.

19. The pulmonary measurement system of claim 18, wherein the classifier comprises an anthropomorphic or a spirometric classifier, and the controller is operable to execute the instructions with the processor to perform further operations comprising:

selecting the particular equation based, at least in part, on the classifier.

20. The pulmonary measurement system of claim 1, wherein the respiratory measurement occurs in one of an intensive care unit, a pulmonary function testing laboratory, a physician'"'"'s office, a community/work screening, or a home setting.

21. The pulmonary measurement system of claim 1, wherein the particular equation comprises a linear equation or a non-linear equation.

22. The pulmonary measurement testing system of claim 1, wherein the particular equation is derived from a regression analysis.

23. The pulmonary measurement testing system of claim 1, wherein the controller is operable to execute the instructions with the processor to perform further operations comprising:

updating at least one of the plurality of equations that are stored in the memory based on at least one of a time duration or an adjustment to the data analytics.

24. The pulmonary measurement testing system of claim 23, wherein the adjustment to the data analytics comprises an increase in a number of subjects of a training population used to derive the plurality of equations.

25. A computer-implemented method to determine absolute lung volume, comprising:

identifying a respiratory measurement of a patient with a pulmonary measurement device;

identifying a particular equation that is developed using data analytics and comprises an input parameter, the input parameter based on the identified respiratory measurement; and

based on the respiratory measurement of the patient and the particular equation, determining the absolute lung volume of the patient.

26. The computer-implemented method of claim 25, wherein identifying a particular equation comprises identifying the particular equation from a plurality of equations.

27. The computer-implemented method of claim 26, further comprising:

identifying a second particular equation of the plurality of equations that is developed using data analytics and comprises a second input parameter; and

based on the respiratory measurement of the patient and the second particular equation, determining at least one of total lung capacity (TLC), functional residual capacity (FRC), thoracic gas volume (TGV), residual volume (RV), diffusing capacity of the lung for carbon monoxide (D_LCO), airway resistance, or lung tissue compliance.

28. The computer-implemented method of claim 25, wherein the particular equation is determined based on a training population using clinical data.

29. The computer-implemented method of claim 28, wherein the training population comprises healthy subjects and unhealthy subjects.

30. The computer-implemented method of claim 29, wherein each of the unhealthy subjects have one or more respiratory diseases.

31. The computer-implemented method of claim 28, further comprising:

generating the data analytics by measuring an absolute lung volume value of each subject of the training population using a respiratory measurement technique.

32. The computer-implemented method of claim 25, further comprising obtaining the at least one respiratory measurement with the pulmonary measurement device.

33. The computer-implemented method of claim 32, wherein the pulmonary measurement device comprises one of:

(a) a spirometer;

(b) a forced oscillation device;

(c) an advanced flow interruption device;

(d) a flow interruption device;

(e) a combination spirometer-flow interruption device;

or

(f) a combination device of two or more of (a)-(e).

34. The computer-implemented method of claim 25, wherein the input parameter comprises a parameter related to respiratory function, respiratory mechanics, respiratory health, or general health.

35. The computer-implemented method of claim 25, wherein the input parameter is selected based on a known correlation between the input parameter and absolute lung volume.

36. The computer-implemented method of claim 25, wherein the input parameter comprises at least one of an airway opening pressure, a derivative of the airway opening pressure, an integral of the airway opening pressure, an airway opening flowrate, a derivative of the airway opening flowrate, an integral of the airway opening flowrate, a parameter derivable from forced spirometry, a parameter derivable from slow spirometry, a mechanical impedance, a parameter derivable from forced oscillations, a parameter derivable from impulse oscillometry, a time constant of a pressure decay or rise, or a time constant of a flowrate decay or rise.

37. The computer-implemented method of claim 31, wherein the respiratory measurement technique comprises body plethysmography, helium dilution, or thoracic computed tomography (CT) imaging.

38. The computer-implemented method of claim 25, wherein the particular equation comprises a linear equation.

39. A method of estimating a respiratory parameter of a human subject, comprising:

taking a direct measurement of a respiratory parameter in a plurality of test subjects, the plurality of test subjects comprising healthy subjects and unhealthy subjects;

taking a measurement of one or more input parameters of the plurality of test subjects; and

determining, with the direct measurements of the respiratory parameter and the measurements of one or more input parameters, an equation that comprises at least a portion of the input parameters as inputs and the respiratory parameter as an output.

40. The method of claim 39, wherein each of input parameters is associated with the respiratory parameter.

41. The method of claim 39, wherein taking a direct measurement of a respiratory parameter in a plurality of test subjects is performed with at least one of:

a whole body plethysmography technique, a helium dilution technique, a thoracic computed tomography (CT) imaging technique, a nitrogen washout, a nitrogen recovery, or a chest radiography.

42. The method of claim 39, wherein taking a measurement of one or more input parameters of the plurality of test subjects is performed with at least one of:

a pulmonary measurement device, a spirometer, a flow interruption device, an advanced flow interruption device, a forced oscillation or impulse oscillometry technique, or an anthropomorphic device.

43. The method of claim 39, wherein at least one of the one or more input parameters comprises a relative lung volume or a lung flow rate.

44. The method of claim 43, wherein the relative lung volume comprises at least one of:

forced expiratory volume in one second (FEV₁), a ratio of forced expiratory volume in one second to forced vital capacity (FEV₁/FVC), inspiratory capacity (IC), or vital capacity (VC).

45. The method of claim 39, wherein at least one of the one or more input parameters comprises at least one of an airway opening pressure, a derivative of the airway opening pressure, an integral of the airway opening pressure, an airway opening flowrate, a derivative of the airway opening flowrate, an integral of the airway opening flowrate, a parameter derivable from forced spirometry, a parameter derivable from slow spirometry, a mechanical impedance, a parameter derivable from forced oscillations, a parameter derivable from impulse oscillometry, a time constant of a pressure decay or rise, or a time constant of a flowrate decay or rise.

46. The method of claim 39, wherein at least one of the one or more input parameters comprises a respiratory mechanics value comprising respiratory system resistance (R_rs) or respiratory system elastance (E_rs).

47. The method of claim 39, wherein at least one of the one or more input parameters comprises anthropomorphic information that includes one or more of patient sex, patient height, patient weight, or patient body mass index.

48. The method of claim 39, wherein the respiratory parameter comprises at least one of:

total lung capacity (TLC), thoracic gas volume (TGV), residual volume (RV), or functional residual capacity (FRC).

49. The method of claim 39, further comprising:

taking a measurement of one or more input parameters of a human subject with a pulmonary measurement device; and

based on the measurement of one or more input parameters of the human subject and the equation, estimating a value of the respiratory parameter of the human subject with the pulmonary measurement device.