SafeRespirator: Comprehensive Database for N95 Filtering Facepiece Respirator Leakage Detection Including Infrared, RGB Videos, and Quantitative Fit Testing
The COVID-19 pandemic underscored the challenges of performing mandatory Quantitative Fit Tests (QNFT) for healthcare professionals and the limitations of self-administered fit checks. To address this, it is crucial to develop faster and more efficient methods for detecting, locating, and quantifyin...
Saved in:
Main Authors: | Geoffrey Marchais, Mohamed Arbane, Barthelemy Topilko, Jean Brousseau, Clothilde Brochot, Yacine Yaddaden, Ali Bahloul, Xavier Maldague |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10815960/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effect of Skin Protectants on the Total Inward Leakage of N95 Respirators: Testing with an Advanced Static Headform
by: Xinyi Niu, et al.
Published: (2022-05-01) -
Progress towards 90-90-90 and 95-95-95 strategy implementations and HIV positivity trends in the City of Johannesburg
by: J C Y Nyasulu, et al.
Published: (2023-12-01) -
Impact of the Contamination Method on the Disinfection of N95 Respirators: Drops versus Aerosols
by: Mirna Alameddine, et al.
Published: (2023-09-01) -
Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle
by: Hayati Köknaroğlu, et al.
Published: (2025-01-01) -
A Letter to Reconsider the Conditions for Testing Decontaminated N95 Respirators for Emergency Reuse to Address Shortage
by: Eric P. Vejerano, et al.
Published: (2024-12-01)