IP Library › Granted Patent US 12,307,619
Granted Patent B2
US 12,307,619 · App. 18/007,213 · Granted May 20, 2025

System and method for determining personal protective equipment comfort

Inventors: Ambuj Sharma (Woodbury, MN); Claire R. Donoghue (Twyford, GB); Stephen R. Gamble (Bishop Aukland, GB); Andrew W. Long (Woodbury, MN); Christine L. McCool (St. Paul, MN); Caitlin E. Meree (St. Paul, MN); Henning T. Urban (Kuehlungsborn, DE); Andrew S. Viner (St. Paul, MN); Richard C. Webb (St. Paul, MN); Caroline M. Ylitalo (Stillwater, MN)
Assignee: 3M Innovative Properties Company
G06T19/20G06T2219/2021
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,307,619
App. No.
18/007,213
Granted
May 20, 2025
Kind
B2
Abstract

A method for determining personal protective equipment (PPE) comfort for an individual wearer includes defining a first anatomical shape data representative of an anatomical area of the individual wearer prior to donning a PPE, a second anatomical shape data representative of the anatomical area of the individual wearer after donning the PPE, and comparing the first anatomical shape data with the second anatomical shape data. The method further includes determining a soft skin tissue deformation at a plurality of predetermined anatomical positions based on the comparison between the first anatomical shape data and the second anatomical shape data, and determining a displacement comfort threshold (CTd) value based on the soft skin tissue deformation. The method also includes determining a pressure pain threshold (PPT) value, and determining a comfort metric based on the PPT values and the CTd values. The method also includes generating a notification corresponding to the comfort metric.

Claims (53)

1. A method for determining personal protective equipment (PPE) comfort for an individual wearer, the method comprising:

defining a first anatomical shape data representative of an anatomical area of the individual wearer prior to donning a PPE;

defining a second anatomical shape data representative of the anatomical area of the individual wearer after donning the PPE;

comparing the first anatomical shape data with the second anatomical shape data;

determining a soft skin tissue deformation at a plurality of predetermined anatomical positions based on the comparison between the first anatomical shape data and the second anatomical shape data;

determining a displacement comfort threshold (CT d ) value based on the soft skin tissue deformation at the plurality of predetermined anatomical positions;

determining a pressure pain threshold (PPT) value at the plurality of predetermined anatomical positions;

determining a comfort metric based on the PPT values and the CT d values; and

generating a notification corresponding to the comfort metric.

2. The method of claim 1 , wherein the steps of defining the first anatomical shape data and the second anatomical shape data further comprises scanning the anatomical area of the individual wearer prior to donning the PPE and after donning the PPE using at least one three-dimensional scanner.

3. The method of claim 1 , further comprising:

defining a plurality of predetermined setting ranges for adjusting at least one adjustable feature on the PPE, wherein the plurality of predetermined setting ranges are defined based on at least one of a fit of the PPE and a comfort of the PPE; and

generating a notification for a predetermined setting range from the plurality of predetermined setting ranges for adjusting the at least one adjustable feature.

4. The method of claim 1 , further comprising determining a soft skin tissue thickness at the plurality of predetermined anatomical positions.

5. The method of claim 1 , further comprising comparing the individual wearer comfort metric to a predicted wearer comfort metric.

6. The method of claim 1 , further comprising a step of generating the plurality of predetermined anatomical positions based on at least two dynamic movements performed by the individual wearer.

7. The method of claim 1 , further comprising a step of defining a first PPE shape data before donning the PPE by the individual wearer and a second PPE shape data after donning the PPE by the individual wearer.

8. The method of claim 7 , further comprising:

determining a first contour data of the PPE based on the first PPE shape data;

determining a second contour data based on the second PPE shape data and the second anatomical shape data;

comparing the first contour data with the second contour data; and

generating a notification for the individual wearer based on the comparison between the first contour data and the second contour data.

9. A system for determining personal protective equipment (PPE) comfort for an individual wearer, the system comprising:

a processor configured to:

define a first anatomical shape data representative of an anatomical area of the individual wearer prior to donning a PPE;

define a second anatomical shape data representative of the anatomical area of the individual wearer after donning the PPE;

compare the first anatomical shape data with the second anatomical shape data;

determine a soft skin tissue deformation at a plurality of predetermined anatomical positions based on the comparison between the first anatomical shape data and the second anatomical shape data;

determine a displacement comfort threshold CT d value based on the soft skin tissue deformation at the plurality of predetermined anatomical positions;

determine a pressure pain threshold (PPT) value at the plurality of predetermined anatomical positions; and

determine a comfort metric based on the PPT values and the CT d values; and

an output module communicably coupled with the processor, wherein the output module is configured to provide a notification corresponding to the comfort metric received from the processor thereon.

10. The system of claim 9 , wherein the plurality of predetermined anatomical positions are generated using a static modeling module.

11. The system of claim 9 , wherein the plurality of predetermined anatomical positions are generated using a dynamic modeling module.

12. The system of claim 9 , wherein the first anatomical shape data and the second anatomical shape data is defined based on scanning the anatomical area of the individual wearer prior to donning the PPE and after donning the PPE using at least one three-dimensional scanner.

13. The system of claim 9 , wherein the processor is further configured to:

define a plurality of predetermined setting ranges for adjusting at least one adjustable feature on the PPE, wherein the plurality of predetermined setting ranges are defined based on at least one of a fit of the PPE and a comfort of the PPE; and

generating a notification for a predetermined setting range from the plurality of predetermined setting ranges for adjusting the at least one adjustable feature.

14. The system of claim 9 , wherein the processor is further configured to determine a soft skin tissue thickness at the plurality of predetermined anatomical positions.

15. The system of claim 9 , wherein the processor is further configured to compare the individual wearer comfort metric to a predicted wearer comfort metric.

16. The system of claim 9 , wherein the processor is further configured to generate the plurality of predetermined anatomical positions based on at least two dynamic movements performed by the individual wearer.

17. The system of claim 9 , wherein the processor is further configured to define a first PPE shape data before donning the PPE by the individual wearer and a second PPE shape data after donning the PPE by the individual wearer.

18. The system of claim 17 , wherein the processor is further configured to:

determine a first contour data of the PPE based on the first PPE shape data;

determine a second contour data based on the second PPE shape data and the second anatomical shape data;

compare the first contour data with the second contour data; and

generate a notification for the individual wearer based on the comparison between the first contour data and the second contour data.

19. The system of claim 17 , wherein the processor is further configured to:

access information pertaining to a plurality of PPE sizes for a PPE type;

compare, for the individual wearer, the first anatomical shape data with the second anatomical shape data;

predict a PPE size for the individual wearer from the plurality of PPE sizes based on the comparison between the first anatomical shape data and the second anatomical shape data; and

generate a notification for the individual wearer pertaining to the predicted PPE size.

20. The system of claim 17 , wherein the processor is further configured to access information pertaining to a plurality of PPE types and a plurality of PPE sizes from a predetermined library to predict, for the individual wearer, at least one of a PPE type from the plurality of PPE types and a PPE size from the plurality of PPE sizes.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 27, 2023
From: SHARMA, AMBUJ; DONOGHUE, CLAIRE R.; GAMBLE, STEPHEN R.; LONG, ANDREW W.; MCCOOL, CHRISTINE L.; MEREE, CAITLIN E.; URBAN, HENNING T.; VINER, ANDREW S.; WEBB, RICHARD C.; YLITALO, CAROLINE M.
To: 3M INNOVATIVE PROPERTIES COMPANY
Reel/Frame 062515/0107 →
Continuity (2)
Provisional Application 63065781 · Aug 14, 2020
Related Publication 20230290091A1 · Sep 14, 2023
References Cited (23)
US 7827038B2 · Richard et al. · 2010 [cited by applicant]
US 8194097B2 · Xiao et al. · 2012 [cited by applicant]
US 8254637B2 · Abourizk et al. · 2012 [cited by applicant]
US 8556420B2 · Sayag · 2013 [cited by applicant]
US 9149224B1 · Newman et al. · 2015 [cited by applicant]
US 9361411B2 · Thiruvengada et al. · 2016 [cited by applicant]
US 9761047B2 · Bai et al. · 2017 [cited by applicant]
US 10235801B2 · Ebisawa · 2019 [cited by applicant]
US 10353662B2 · Snyder · 2019 [cited by applicant]
US 10373386B2 · Tepmongkol et al. · 2019 [cited by applicant]
US 20140278320A1 · Wang · 2014 [cited by applicant]
US 20160070851A1 · Wang et al. · 2016 [cited by applicant]
US 20160162604A1 · Xiaoli · 2016 [cited by applicant]
CN 205031261U · 2016 [cited by applicant]
KR 100509204B1 · 2005 [cited by applicant]
WO 2009150670A1 · 2009 [cited by applicant]
WO 2015195303A1 · 2015 [cited by applicant]
Xiong et al., “An indentation apparatus for evaluating discomfort and pain thresholds in conjunction with mechanical properties of foot tissue in vivo”, JRRD vol. 47, No. 7, 2010 (Year: 2010). [cited by examiner]
EP Application No. EP 21 85 5694 Supplementary European Search Report, Date of Completion of the Search: Jul. 22, 2024, 4 pages. [cited by applicant]
International Search Report for PCT International Application No. PCT/IB2021/056865, mailed on Nov. 1, 2021, 3 pages. [cited by applicant]
Koo, “Test-Retest Reliability, Repeatability and Sensitivity of an Automated Deformation-Controlled Indentation on Pressure Pain Threshold Measurement”, Journal of Manipulative and Physiological Therapeutics, Feb. 2013,… [cited by applicant]
Lei, “A Novel Algorithm for Determining Contact Area Between a Respirator and a Headform”, Journal of Occupational and Environmental Hygiene, Apr. 2014, vol. 11, No. 4, pp. 227-237. [cited by applicant]
Xu, “Estimating the dead space volume between a headform and N95 filtering facepiece respirator using microsoft kinect”, Journal of Occupational and Environmental Hygiene, Aug. 2015, vol. 12, No. 8, pp. 538-546. [cited by applicant]