Cardiopulmonary Resuscitation Performance: Video, Demographic and Evaluation Data, 2023

Merryn Constable, Francis Zhang, Anthony Conner, Daniel Monk, Jason Rajsic, Claire Ford, Laura Park, Stuart Barker, Alan Platt, Debbie Porteous, Lawrence Grierson, Hubert P. H. Shum

Research output: Non-textual formData set/Database

Abstract

This project aimed to establish a video database of cardiopulmonary resuscitation performance that demonstrates a range of expertise. The original data set contains 54 examples of participants who range in expertise and experience with performing CPR. Each example was recorded from 6 angles with a checkerboard in view to allow for 3D reconstruction. Participants were asked to perform 4 sets of 30 chest compressions with a short pause in between to rest. The faces of each participant have been blurred to reduce the likelihood of identification. The CPR performances are accompanied by the demographics of the participant and the evaluation data. The evaluation data consists of evaluation by two expert raters who teach Basic Life Support at a UK university, and their agreed rating. Participants were able to elect for their data to be included in the available database or restricted to the research team only. Consent was given for video data and evaluation data separately. Thus, this data contains video data from 41 participants, and evaluation data from 42 participants. This dataset is intended to be used to further understanding of expertise in CPR and facilitate the development of technology that can track movement and evaluate healthcare professional skills.
Original languageEnglish
Place of PublicationColchester
PublisherUK Data Service
Media of outputOnline
Publication statusPublished - 30 Apr 2024

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