Hyperspectral Imaging for Asymptomatic Covid19 Detection
Research type
Research Study
Full title
Application of Hyperspectral Imaging (HSI) to the detection of Covid19 in asymptomatic participants.
IRAS ID
286482
Contact name
Michael S Gallimore
Contact email
Sponsor organisation
University of Lincoln
Duration of Study in the UK
1 years, 0 months, 1 days
Research summary
The ability to identify Covid19 positive participants is essential to help control the spread of the virus, particularly in high risk settings such as hospitals. This is particularly difficult in asymptomatic subjects since the use of more common detection devices (temperature) is not effective. Medical reports suggest that blood oxygen levels are a good indicator in these cases. Hyperspectral Imaging (HSI) has the ability to detect blood oxygen levels and, coupled with intelligent machine learning algorithms, provides a potential passive monitoring system for asymptomatic participants. This study will focus on the the development and validation of a HSI system that could be deployed in hospital settings in order to provide a first indication of a potential Covid19 positive participant.
REC name
East Midlands - Nottingham 1 Research Ethics Committee
REC reference
20/EM/0212
Date of REC Opinion
10 Sep 2020
REC opinion
Unfavourable Opinion