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

• Published in: BMC research notes Vol. 17; no. 1; pp. 30 - 4
• Main Authors: Rojas-Zumbado, Sofia, Tamez-Peña, Jose-Gerardo, Trevino-Ferrer, Andrea-Alejandra, Diaz-Garza, Carlos-Andres, Ledesma-Hernández, Meritxell, Esparza-Sandoval, Alejandra-Celina, Ortiz-Lopez, Rocio, Torre-Amione, Guillermo, Cardona-Huerta, Servando, Trevino, Victor
• Format: Journal Article
• Language: English
• Published: London BioMed Central 19.01.2024; BioMed Central Ltd; BMC
• Subjects: Biomedical and Life Sciences; Biomedicine; Blood pressure; Body temperature; Cameras; Cohort analysis; COVID-19; Data Note; Data Notes; Demographic data; Diagnostic imaging; Evaluation; Food intake; Health aspects; Heart rate; Heat detection; Image processing; Jewelry; Life Sciences; Machine learning; Measurement; Medicine/Public Health; Pneumonia; Polymerase chain reaction; Respiratory agents; Respiratory disease; Respiratory diseases; Respiratory tract diseases; Severe acute respiratory syndrome coronavirus 2; Thermal energy; Thermal imaging; Thermal videos; Tomography; Mexico; China; Thermal imaging; Thermal videos; Demographic data; Covid-19; Respiratory disease
• ISSN: 1756-0500; 1756-0500
• DOI: 10.1186/s13104-024-06688-w

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.