Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19
Abstract Objectives The data was collected for a cohort study to assess the capability of thermal videos in the detection of SARS-CoV-2. Using this data, a published study applied machine learning to analyze thermal image features for Covid-19 detection. Data description The study recorded a set of...
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BMC
2024-01-01
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Series: | BMC Research Notes |
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Online Access: | https://doi.org/10.1186/s13104-024-06688-w |
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author | Sofia Rojas-Zumbado Jose-Gerardo Tamez-Peña Andrea-Alejandra Trevino-Ferrer Carlos-Andres Diaz-Garza Meritxell Ledesma-Hernández Alejandra-Celina Esparza-Sandoval Rocio Ortiz-Lopez Guillermo Torre-Amione Servando Cardona-Huerta Victor Trevino |
author_facet | Sofia Rojas-Zumbado Jose-Gerardo Tamez-Peña Andrea-Alejandra Trevino-Ferrer Carlos-Andres Diaz-Garza Meritxell Ledesma-Hernández Alejandra-Celina Esparza-Sandoval Rocio Ortiz-Lopez Guillermo Torre-Amione Servando Cardona-Huerta Victor Trevino |
author_sort | Sofia Rojas-Zumbado |
collection | DOAJ |
description | Abstract Objectives The data was collected for a cohort study to assess the capability of thermal videos in the detection of SARS-CoV-2. Using this data, a published study applied machine learning to analyze thermal image features for Covid-19 detection. Data description The study recorded a set of measurements from 252 participants over 18 years of age requesting a SARS-CoV-2 PCR (polymerase chain reaction) test at the Hospital Zambrano-Hellion in Nuevo León, México. Data for PCR results, demographics, vital signs, food intake, activities and lifestyle factors, recently taken medications, respiratory and general symptoms, and a thermal video session where the volunteers performed a simple breath-hold in four different positions were collected. Vital signs recorded include axillary temperature, blood pressure, heart rate, and oxygen saturation. Each thermal video is split into 4 scenes, corresponding to front, back, left and right sides, and is available in MPEG-4 format to facilitate inclusion into pipelines for image processing. Raw JPEG images of the background between subjects are included to register variations in room temperatures. |
first_indexed | 2024-03-08T12:40:07Z |
format | Article |
id | doaj.art-2930f48f53894b849022a9ab0bbc0d51 |
institution | Directory Open Access Journal |
issn | 1756-0500 |
language | English |
last_indexed | 2024-03-08T12:40:07Z |
publishDate | 2024-01-01 |
publisher | BMC |
record_format | Article |
series | BMC Research Notes |
spelling | doaj.art-2930f48f53894b849022a9ab0bbc0d512024-01-21T12:09:10ZengBMCBMC Research Notes1756-05002024-01-011711410.1186/s13104-024-06688-wUpper body thermal images and associated clinical data from a pilot cohort study of COVID-19Sofia Rojas-Zumbado0Jose-Gerardo Tamez-Peña1Andrea-Alejandra Trevino-Ferrer2Carlos-Andres Diaz-Garza3Meritxell Ledesma-Hernández4Alejandra-Celina Esparza-Sandoval5Rocio Ortiz-Lopez6Guillermo Torre-Amione7Servando Cardona-Huerta8Victor Trevino9Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludTecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludTecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludTecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludTecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludTecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludTecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludTecnologico de Monterrey, Hospital Zambrano HellionTecnologico de Monterrey, Hospital Zambrano HellionTecnologico de Monterrey, Escuela de Medicina y Ciencias de la SaludAbstract Objectives The data was collected for a cohort study to assess the capability of thermal videos in the detection of SARS-CoV-2. Using this data, a published study applied machine learning to analyze thermal image features for Covid-19 detection. Data description The study recorded a set of measurements from 252 participants over 18 years of age requesting a SARS-CoV-2 PCR (polymerase chain reaction) test at the Hospital Zambrano-Hellion in Nuevo León, México. Data for PCR results, demographics, vital signs, food intake, activities and lifestyle factors, recently taken medications, respiratory and general symptoms, and a thermal video session where the volunteers performed a simple breath-hold in four different positions were collected. Vital signs recorded include axillary temperature, blood pressure, heart rate, and oxygen saturation. Each thermal video is split into 4 scenes, corresponding to front, back, left and right sides, and is available in MPEG-4 format to facilitate inclusion into pipelines for image processing. Raw JPEG images of the background between subjects are included to register variations in room temperatures.https://doi.org/10.1186/s13104-024-06688-wCovid-19Thermal imagingThermal videosRespiratory diseaseDemographic data |
spellingShingle | Sofia Rojas-Zumbado Jose-Gerardo Tamez-Peña Andrea-Alejandra Trevino-Ferrer Carlos-Andres Diaz-Garza Meritxell Ledesma-Hernández Alejandra-Celina Esparza-Sandoval Rocio Ortiz-Lopez Guillermo Torre-Amione Servando Cardona-Huerta Victor Trevino Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19 BMC Research Notes Covid-19 Thermal imaging Thermal videos Respiratory disease Demographic data |
title | Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19 |
title_full | Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19 |
title_fullStr | Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19 |
title_full_unstemmed | Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19 |
title_short | Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19 |
title_sort | upper body thermal images and associated clinical data from a pilot cohort study of covid 19 |
topic | Covid-19 Thermal imaging Thermal videos Respiratory disease Demographic data |
url | https://doi.org/10.1186/s13104-024-06688-w |
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