Document Type
Article
Publication Date
October 2024
Patent Number
12102424
CPC
A61B 5/0809 , A61B 5/05 , A61B 5/4842 , A61B 5/7267 , A61B 5/7282 , G01N 33/497 , G01N 33/4975 , G06N 20/00 , G16H 10/60 , G16H 40/67 , G16H 50/20 , G16H 50/50 , G16H 70/60
Abstract
A breathing monitor that includes a contactless sensor that uses magneto-LC resonance technology is provided. The breathing monitor collects breathing data from a patient that indicates a breathing pattern of the patient. A model trained using machine learning using breathing patterns collected from patients known to have different stages of COVID-19 is used to process the collected breathing data and to determine whether the patient has COVID-19. The model further determines the stage of COVID-19. The breathing monitor can identify likely COVID-19 infections faster than existing tests and requires no contact between the patient and a medical professional, which is an improvement over existing COVID-19 detection technologies.
Application Number
17/331761
Recommended Citation
Phan, Manh-Huong; Hwang, Kee Young; Ortiz Jimenez, Valery; and Muchharla, Baleeswaraiah, "Real-time monitoring of COVID-19 progress using magnetic sensing and machine learning" (2024). USF Patents. 1445.
https://digitalcommons.usf.edu/usf_patents/1445
Assignees
University of South Florida
Filing Date
05/27/2021
