Contactless Optical Respiration Rate Measurement for a Fast Triage of SARS-CoV-2 Patients in Hospitals
2021 International Conference on Image Processing and Vision Engineering, IMPROVE 2021
; : 29-35, 2021.
Article
in English
| Scopus | ID: covidwho-1726549
ABSTRACT
Especially in hospital entrances, it is important to spatially separate potentially SARS-CoV-2 infected patients from other people to avoid further spreading of the disease. Whereas the evaluation of conventional laboratory tests takes too long, the main symptoms, fever and shortness of breath, can indicate the presence of a SARSCoV-2 infection and can thus be considered for triage. Fever can be measured contactlessly using an infrared sensor, but there are currently no systems for measuring the respiration rate in a similarly fast and contactless way. Therefore, we propose an RGB-camera-based method to remotely determine the respiration rate for the triage in hospitals. We detect and track image features on the thorax, band-pass filter the trajectories and further reduce noise and artefacts by applying a principal component analysis. Finally, the respiration rate is computed using Welch’s power spectral density estimate. Our contactless approach is focused on a fast measurement and computation. It is especially adapted to the use case of the triage in hospitals by comprising a face detection which is robust against partial occlusion allowing the patients to wear face masks. Moreover, we show that our method is able to correctly determine the respiration frequency for standing patients despite considerable body sway. Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
Feature Tracking; Image Processing; Remote Measuring; Respiration Rate; SARS-CoV-2 Triage; Biomedical engineering; Face recognition; Hospitals; Infrared detectors; Principal component analysis; Spectral density; Contact less; Feature-tracking; Images processing; Infected patients; Laboratory test; Optical-; Rate measurements; SARS
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 International Conference on Image Processing and Vision Engineering, IMPROVE 2021
Year:
2021
Document Type:
Article
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