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1. WO2020174387 - SENSOR-ENABLED RESPIRATOR FIT-TEST SYSTEM WITH CONTEXT-BASED REMEDIAL RECOMMENDATIONS

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

WHAT IS CLAIMED IS:

1. A system comprising:

a respirator configured to be worn by a user;

a sensor operatively coupled to the respirator; and

a computing device comprising a memory and one or more computer processors, the memory comprising instructions that when executed by the one or more computer processors cause the one or more computer processors to:

in response to receiving data from the sensor, determine, during at least one action that is performed by the user and that corresponds to at least one graphical element, that the fit test was not satisfied;

determine, based at least in part on particular context data associated with the fit test, at least one remedial recommendation to satisfy the fit test; and output for display the at least one remedial recommendation to satisfy the fit test.

2. The system of claim 1, wherein to determine at least one remedial recommendation to satisfy the fit test, the memory comprises instructions that when executed cause the one or more computer processors to:

select, as the particular context data, data that indicates at least one of a respirator model, respirator size, user face size, user breathing characteristic, activity of the user during the fit test, magnitude or presence of the change in the at least one electrical characteristic of the sensing element, elapsed time within a particular stage of a set of stages that comprise the fit test, elapsed time within the particular stage when the fit was determined to be not satisfied, remaining time within the particular stage of the set of stages that comprise the fit test, a failed fit test that occurred prior to the fit test, context data about the failed fit test that occurred prior to the fit test, an identifier for the particular stage of the fit test that was not satisfied, an amount of the particulate matter detected that is based at least in part on the change in at least one electrical characteristic of a sensing element of the sensor, or a demographic property of the user; and

process the particular context data in the determination of the at least one remedial recommendation.

3. The system of claim 2, wherein to process the particular context data in the determination of the at least one remedial recommendation, the memory comprises instructions that when executed cause the one or more computer processors to:

apply, based at least in part on the determination that the fit test was not satisfied, the particular context data to a recommendation model, wherein the recommendation model was modified, prior to the fit test and based on a set of training instances, to change a likelihood provided by the model for the at least one remedial recommendation in response to the particular context data applied to the recommendation model, wherein each training instance in the set of training instances comprises an association between training context data and a respective remedial recommendation; and

select the at least one remedial action based at least in part on the likelihood provided by the model for the at least one remedial recommendation.

4. The system of claim 2, wherein to select the at least one remedial action, the memory comprises instructions that when executed cause the one or more computer processors to:

select the at least one remedial recommendation that has a highest likelihood in a set of likelihoods that correspond respectively to a set of remedial recommendations.

5. The system of claim 2, wherein the recommendation model is based at least in part on one or more prior fit tests performed using respirators that have similar characteristics to the respirator.

6. The system of claim 2, wherein the memory comprises instructions that when executed cause the one or more computer processors to:

configure a set of associations between remedial recommendations and failure mode context data;

determine that the particular context data corresponds to the failure mode context data; and select, based at least in part on the determination that the particular context data corresponds to the failure mode context data, the remedial recommendation from the set of remedial recommendations.

7. The system of claim 6, wherein the set of associations between remedial recommendations and failure mode context data are implemented in at least one of a decision tree or a lookup data structure.

8. The system of claim 6, wherein to determine that the particular context data corresponds to the failure mode context data, the memory comprises instructions that when executed cause the one or more computer processors to determine a degree of similarity between the particular context data and the failure mode context data.

9. The system of claim 6, wherein the remedial recommendation is selected from the set of remedial recommendations based on a defined order.

10. The system of claim 9,

wherein the defined order prioritizes remedial recommendations that change respirator fit ahead of remedial recommendations that change respirator size.

11. The system of claim 9,

wherein the defined order prioritizes remedial recommendations that change respirator size ahead of remedial recommendations that change respirator model.

12. The system of claim 1, wherein the remedial recommendation indicates at least an inspection, modification, or adjustment to a nose clip of a disposable respirator.

13. The system of claim 1, wherein the remedial recommendation indicates at least an inspection, modification, or adjustment to a strap of a respirator.

14. The system of claim 1, wherein the remedial recommendation indicates at least an inspection or modification to a filter or cartridge of a reusable respirator.

15. The system of claim 1, wherein the memory comprises instructions that when executed cause the one or more computer processors to send a message to a remote computing device that indicates whether the fit test was satisfied.

16. The system of claim 1, wherein the particulate matter is at least partially comprised of sodium chloride.

17. The system of claim 1, wherein the respirator is at least one of a disposable respirator, a negative-pressure reusable respirator, a powered-air purifying respirator, or a self-contained breathing apparatus respirator.

18. The system of claim 1, wherein the respirator is a first respirator, and wherein to determine at least one remedial recommendation to satisfy the fit test, the memory comprises instructions that when executed cause the one or more computer processors to:

determine, based at least in part on the context data, a second respirator associated with a first likelihood score of passing the fit test;

determine that the first likelihood score satisfies a threshold; and

output, based at least in part on the determination that the first likelihood score satisfies the threshold, information that indicates the second respirator in the remedial recommendation.

19. The system of claim 18, wherein the threshold is based at least in part on a second likelihood score of passing the fit test that is associated with at least one other respirator.

20. The system of claim 18, wherein the memory comprises instructions that when executed cause the one or more computer processors to:

receive an image of the respirator positioned at the user; and

process the image as the particular context data in the determination of the at least one remedial recommendation.

21. The system of claim 1, wherein the sensor further comprises:

an electric circuit configured to determine a change in at least one electrical characteristic of a sensing element, wherein the change in the at least one electrical characteristic is based at least in part on detection of a type of particulate matter; and

a communication component configured to communicate data that is based at least in part on the change in the at least one electrical characteristic of the sensing element

22. A method comprising:

in response to receiving, by a computing device, data from a sensor that is operatively coupled to a respirator, determining, during at least one action that is performed by a user and that corresponds to at least one graphical element, that a fit test was not satisfied, wherein a respirator is configured to be worn by a user;

determining, based at least in part on particular context data associated with the fit test, at least one remedial recommendation to satisfy the fit test; and

outputting for display the at least one remedial recommendation to satisfy the fit test.

23. The method of claim 22, wherein determining at least one remedial recommendation to satisfy the fit test comprises:

selecting, as the particular context data, data that indicates at least one of a respirator model, respirator size, user face size, user breathing characteristic, activity of the user during the fit test, magnitude or presence of the change in the at least one electrical characteristic of the sensing element, elapsed time within a particular stage of a set of stages that comprise the fit test, elapsed time within the particular stage when the fit was determined to be not satisfied, remaining time within the particular stage of the set of stages that comprise the fit test, a failed fit test that occurred prior to the fit test, context data about the failed fit test that occurred prior to the fit test, an identifier for the particular stage of the fit test that was not satisfied, an amount of the particulate matter detected that is based at least in part on the change in at least one electrical characteristic of a sensing element of the sensor, or a demographic property of the user; and

processing the particular context data in the determination of the at least one remedial recommendation.

24. The method of claim 23, wherein processing the particular context data in the

determination of the at least one remedial recommendation comprises:

applying, based at least in part on the determination that the fit test was not satisfied, the particular context data to a recommendation model, wherein the recommendation model was modified, prior to the fit test and based on a set of training instances, to change a likelihood provided by the model for the at least one remedial recommendation in response to the particular context data applied to the recommendation model, wherein each training instance in the set of training instances comprises an association between training context data and a respective remedial recommendation; and

selecting the at least one remedial recommendation based at least in part on the likelihood provided by the model for the at least one remedial recommendation.

25. The method of claim 23, wherein selecting the at least one remedial recommendation comprises selecting the at least one remedial recommendation that has a highest likelihood in a set of likelihoods that correspond respectively to a set of remedial recommendations.

26. The method of claim 23, wherein the recommendation model is based at least in part on one or more prior fit tests performed using respirators that have similar characteristics to the respirator.

27. The method of claim 23, further comprising:

configuring a set of associations between remedial recommendations and failure mode context data;

determining that the particular context data corresponds to the failure mode context data; and

selecting, based at least in part on the determination that the particular context data corresponds to the failure mode context data, the remedial recommendation from the set of remedial recommendations.

28. The method of claim 27, wherein the set of associations between remedial

recommendations and failure mode context data are implemented in at least one of a decision tree or a lookup data structure.

29. The method of claim 27, wherein determining that the particular context data corresponds to the failure mode context data comprises determining a degree of similarity between the particular context data and the failure mode context data.

30. The method of claim 27, wherein the remedial recommendation is selected from the set of remedial recommendations based on a defined order.

31. The method of claim 27, wherein the defined order prioritizes remedial recommendations that change respirator fit ahead of remedial recommendations that change respirator size.

32. The method of claim 27, wherein the defined order prioritizes remedial recommendations that change respirator size ahead of remedial recommendations that change respirator model.

33. The method of claim 22, wherein the remedial recommendation indicates at least an inspection, modification, or adjustment to a nose clip of a disposable respirator.

34. The method of claim 33, wherein the remedial recommendation indicates at least an inspection, modification, or adjustment to a strap of a respirator.

35. The method of claim 22, wherein the remedial recommendation indicates at least an inspection or modification to a filter or cartridge of a reusable respirator.

36. The method of claim 22 further comprising sending a message to a remote computing device that indicates whether the fit test was satisfied.

37. The method of claim 22, wherein the particulate matter is at least partially comprised of sodium chloride.

38. The method of claim 22, wherein the respirator is at least one of a disposable respirator, a negative-pressure reusable respirator, a powered-air purifying respirator, or a self-contained breathing apparatus respirator.

39. The method of claim 22, wherein the respirator is a first respirator, and wherein to determine at least one remedial recommendation to satisfy the fit test, wherein the method further comprises:

determining, based at least in part on the context data, a second respirator associated with a first likelihood score of passing the fit test;

determining that the first likelihood score satisfies a threshold; and

output, based at least in part on the determination that the first likelihood score satisfies the threshold, information that indicates the second respirator in the remedial recommendation.

40. The method of claim 39, wherein the threshold is based at least in part on a second likelihood score of passing the fit test that is associated with at least one other respirator.

41. The method of claim 22, further comprising:

receiving an image of the respirator positioned at the user; and

processing the image as the particular context data in the determination of the at least one remedial recommendation.

42. A computing device comprising a memory and one or more computer processors, the memory comprising instructions that when executed by the one or more computer processors cause the one or more computer processors to perform any of the method of claims 22-41.

43. A computing device comprising a memory and one or more computer processors, the memory comprising instructions that when executed by the one or more computer processors cause the one or more computer processors to perform any of the method of claims 22-41.

44. An apparatus comprising means for performing any of the method of claims 22-41.