Head-mounted eye tracker videos and raw data collected during breathing recognition attempts in simulated cardiac arrest.

This paper presents data collected by Pedrotti et al. (2022, 2024) [1,2], which includes videos captured using a Dikablis head-mounted eye tracker (Ergoneers GmbH, Germany), along with the corresponding raw data. The data collection aimed to assess participants' ability to recognize breathing in a simulated cardiac arrest scenario.

Visual Fixation on the Thorax Predicts Bystander Breathing Detection in Simulated Out-of-Hospital Cardiac Arrest, but Video Debriefing With Eye Tracking Gaze Overlay Does Not Enhance Postallocation Success Rate: A Randomized Controlled Trial.

Introduction: Bystander cardiopulmonary resuscitation in out-of-hospital cardiac arrest is associated with higher survival rates. Even trained health care staff cannot assess breathing well enough to detect cardiac arrest. Recognition of cardiac arrest by lay rescuers might be overlooked in adult basic life support resuscitation guidelines, which explain what to do, but not how to do it.