Cargando…

Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation

Background: To conduct a rapid preliminary COVID-19 screening prior to polymerase chain reaction (PCR) test under clinical settings, including patient’s body moving conditions in a non-contact manner, we developed a mobile and vital-signs-based infection screening composite-type camera (VISC-Camera)...

Descripción completa

Detalles Bibliográficos
Autores principales: Unursaikhan, Batbayar, Amarsanaa, Gereltuya, Sun, Guanghao, Hashimoto, Kenichi, Purevsuren, Otgonbat, Choimaa, Lodoiravsal, Matsui, Takemi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257080/
https://www.ncbi.nlm.nih.gov/pubmed/35812332
http://dx.doi.org/10.3389/fphys.2022.905931
_version_ 1784741259875713024
author Unursaikhan, Batbayar
Amarsanaa, Gereltuya
Sun, Guanghao
Hashimoto, Kenichi
Purevsuren, Otgonbat
Choimaa, Lodoiravsal
Matsui, Takemi
author_facet Unursaikhan, Batbayar
Amarsanaa, Gereltuya
Sun, Guanghao
Hashimoto, Kenichi
Purevsuren, Otgonbat
Choimaa, Lodoiravsal
Matsui, Takemi
author_sort Unursaikhan, Batbayar
collection PubMed
description Background: To conduct a rapid preliminary COVID-19 screening prior to polymerase chain reaction (PCR) test under clinical settings, including patient’s body moving conditions in a non-contact manner, we developed a mobile and vital-signs-based infection screening composite-type camera (VISC-Camera) with truncus motion removal algorithm (TMRA) to screen for possibly infected patients. Methods: The VISC-Camera incorporates a stereo depth camera for respiratory rate (RR) determination, a red–green–blue (RGB) camera for heart rate (HR) estimation, and a thermal camera for body temperature (BT) measurement. In addition to the body motion removal algorithm based on the region of interest (ROI) tracking for RR, HR, and BT determination, we adopted TMRA for RR estimation. TMRA is a reduction algorithm of RR count error induced by truncus non-respiratory front-back motion measured using depth-camera-determined neck movement. The VISC-Camera is designed for mobile use and is compact (22 cm × 14 cm × 4 cm), light (800 g), and can be used in continuous operation for over 100 patients with a single battery charge. The VISC-Camera discriminates infected patients from healthy people using a logistic regression algorithm using RR, HR, and BT as explanatory variables. Results are available within 10 s, including imaging and processing time. Clinical testing was conducted on 154 PCR positive COVID-19 inpatients (aged 18–81 years; M/F = 87/67) within the initial 48 h of hospitalization at the First Central Hospital of Mongolia and 147 healthy volunteers (aged 18–85 years, M/F = 70/77). All patients were on treatment with antivirals and had body temperatures <37.5°C. RR measured by visual counting, pulsimeter-determined HR, and BT determined by thermometer were used for references. Result: 10-fold cross-validation revealed 91% sensitivity and 90% specificity with an area under receiver operating characteristic curve of 0.97. The VISC-Camera-determined HR, RR, and BT correlated significantly with those measured using references (RR: r = 0.93, p < 0.001; HR: r = 0.97, p < 0.001; BT: r = 0.72, p < 0.001). Conclusion: Under clinical settings with body motion, the VISC-Camera with TMRA appears promising for the preliminary screening of potential COVID-19 infection for afebrile patients with the possibility of misdiagnosis as asymptomatic.
format Online
Article
Text
id pubmed-9257080
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92570802022-07-07 Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation Unursaikhan, Batbayar Amarsanaa, Gereltuya Sun, Guanghao Hashimoto, Kenichi Purevsuren, Otgonbat Choimaa, Lodoiravsal Matsui, Takemi Front Physiol Physiology Background: To conduct a rapid preliminary COVID-19 screening prior to polymerase chain reaction (PCR) test under clinical settings, including patient’s body moving conditions in a non-contact manner, we developed a mobile and vital-signs-based infection screening composite-type camera (VISC-Camera) with truncus motion removal algorithm (TMRA) to screen for possibly infected patients. Methods: The VISC-Camera incorporates a stereo depth camera for respiratory rate (RR) determination, a red–green–blue (RGB) camera for heart rate (HR) estimation, and a thermal camera for body temperature (BT) measurement. In addition to the body motion removal algorithm based on the region of interest (ROI) tracking for RR, HR, and BT determination, we adopted TMRA for RR estimation. TMRA is a reduction algorithm of RR count error induced by truncus non-respiratory front-back motion measured using depth-camera-determined neck movement. The VISC-Camera is designed for mobile use and is compact (22 cm × 14 cm × 4 cm), light (800 g), and can be used in continuous operation for over 100 patients with a single battery charge. The VISC-Camera discriminates infected patients from healthy people using a logistic regression algorithm using RR, HR, and BT as explanatory variables. Results are available within 10 s, including imaging and processing time. Clinical testing was conducted on 154 PCR positive COVID-19 inpatients (aged 18–81 years; M/F = 87/67) within the initial 48 h of hospitalization at the First Central Hospital of Mongolia and 147 healthy volunteers (aged 18–85 years, M/F = 70/77). All patients were on treatment with antivirals and had body temperatures <37.5°C. RR measured by visual counting, pulsimeter-determined HR, and BT determined by thermometer were used for references. Result: 10-fold cross-validation revealed 91% sensitivity and 90% specificity with an area under receiver operating characteristic curve of 0.97. The VISC-Camera-determined HR, RR, and BT correlated significantly with those measured using references (RR: r = 0.93, p < 0.001; HR: r = 0.97, p < 0.001; BT: r = 0.72, p < 0.001). Conclusion: Under clinical settings with body motion, the VISC-Camera with TMRA appears promising for the preliminary screening of potential COVID-19 infection for afebrile patients with the possibility of misdiagnosis as asymptomatic. Frontiers Media S.A. 2022-06-22 /pmc/articles/PMC9257080/ /pubmed/35812332 http://dx.doi.org/10.3389/fphys.2022.905931 Text en Copyright © 2022 Unursaikhan, Amarsanaa, Sun, Hashimoto, Purevsuren, Choimaa and Matsui. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Unursaikhan, Batbayar
Amarsanaa, Gereltuya
Sun, Guanghao
Hashimoto, Kenichi
Purevsuren, Otgonbat
Choimaa, Lodoiravsal
Matsui, Takemi
Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation
title Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation
title_full Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation
title_fullStr Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation
title_full_unstemmed Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation
title_short Development of a Novel Vital-Signs-Based Infection Screening Composite-Type Camera With Truncus Motion Removal Algorithm to Detect COVID-19 Within 10 Seconds and Its Clinical Validation
title_sort development of a novel vital-signs-based infection screening composite-type camera with truncus motion removal algorithm to detect covid-19 within 10 seconds and its clinical validation
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257080/
https://www.ncbi.nlm.nih.gov/pubmed/35812332
http://dx.doi.org/10.3389/fphys.2022.905931
work_keys_str_mv AT unursaikhanbatbayar developmentofanovelvitalsignsbasedinfectionscreeningcompositetypecamerawithtruncusmotionremovalalgorithmtodetectcovid19within10secondsanditsclinicalvalidation
AT amarsanaagereltuya developmentofanovelvitalsignsbasedinfectionscreeningcompositetypecamerawithtruncusmotionremovalalgorithmtodetectcovid19within10secondsanditsclinicalvalidation
AT sunguanghao developmentofanovelvitalsignsbasedinfectionscreeningcompositetypecamerawithtruncusmotionremovalalgorithmtodetectcovid19within10secondsanditsclinicalvalidation
AT hashimotokenichi developmentofanovelvitalsignsbasedinfectionscreeningcompositetypecamerawithtruncusmotionremovalalgorithmtodetectcovid19within10secondsanditsclinicalvalidation
AT purevsurenotgonbat developmentofanovelvitalsignsbasedinfectionscreeningcompositetypecamerawithtruncusmotionremovalalgorithmtodetectcovid19within10secondsanditsclinicalvalidation
AT choimaalodoiravsal developmentofanovelvitalsignsbasedinfectionscreeningcompositetypecamerawithtruncusmotionremovalalgorithmtodetectcovid19within10secondsanditsclinicalvalidation
AT matsuitakemi developmentofanovelvitalsignsbasedinfectionscreeningcompositetypecamerawithtruncusmotionremovalalgorithmtodetectcovid19within10secondsanditsclinicalvalidation