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.

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
quality	string	Resolution
frame_rate	float	The number of frames displayed per second in the video.
video_codec	string	The encoding format used by the video file.
bit_rate	integer	The number of bits transmitted per second in the video, used to measure video quality and storage size.
aspect_ratio	string	The ratio of the width to the height of the video.
duration	float	The total playback time length of the video.
key_frame_interval	integer	The unit interval number between key frames in the video.
video_color_depth	integer	The color depth per pixel, typically measured in bits.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com

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