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

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number30
JournalBMC Research Notes
Volume17
Issue number1
DOIs
StatePublished - Jan 2024

Keywords

  • Covid-19
  • Demographic data
  • Respiratory disease
  • Thermal imaging
  • Thermal videos

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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