Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19

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2024年1月19日

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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

摘要

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.