Emergency Medical Rescue Video Dataset

Medical emergency rescue is an essential part of the modern healthcare system, but in complex emergency scenarios, healthcare personnel often face decision-making difficulties and require fast response times. Existing solutions mainly rely on experienced healthcare personnel for manual operations and decisions, but in emergencies, human judgment often struggles to cope with unforeseen situations. This dataset aims to utilize video analysis technology to provide a more intelligent and faster decision support system for emergency scenarios, thereby improving emergency handling efficiency. The data is collected from emergency sites of multiple hospitals using high-definition camera equipment, with a stable recording environment to ensure video quality. During quality control, multiple rounds of annotation and consistency checks are applied to ensure data accuracy. The annotation team includes medical experts and data analysts, with a team size exceeding 30 people. Data preprocessing includes steps like video denoising, frame extraction, and motion analysis, and is stored in MP4 format, organized by event scenarios.