These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Integrating RGB-thermal image sensors for non-contact automatic respiration rate monitoring.
    Author: Khanam FT, Perera AG, Al-Naji A, Mcintyre TD, Chahl J.
    Journal: J Opt Soc Am A Opt Image Sci Vis; 2024 Jun 01; 41(6):1140-1151. PubMed ID: 38856428.
    Abstract:
    Respiration rate (RR) holds significance as a human health indicator. Presently, the conventional RR monitoring system requires direct physical contact, which may cause discomfort and pain. Therefore, this paper proposes a non-contact RR monitoring system integrating RGB and thermal imaging through RGB-thermal image alignment. The proposed method employs an advanced image processing algorithm for automatic region of interest (ROI) selection. The experimental results demonstrated a close correlation and a lower error rate between measured thermal, measured RGB, and reference data. In summary, the proposed non-contact system emerges as a promising alternative to conventional contact-based approaches without the associated discomfort and pain.
    [Abstract] [Full Text] [Related] [New Search]