Emergency Medical Rescue Video Dataset
#action recognition #behavior analysis #event detection #emergency nursing #medical rescue #medical image analysis
- 500 records
- 1.5G
- MP4
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
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 |
Frequently Asked Questions
- What are the application scenarios of the Emergency Medical Services Video Dataset?
- This dataset can be used for research and development in automated medical monitoring systems, emergency situation detection, and care quality analysis.
- How is this video dataset used in emergency medical services?
- Researchers can use this dataset to train models to identify key actions and processes in emergency scenes, thereby enhancing the speed and accuracy of medical response.
- What does the Emergency Medical Services Video Dataset consist of?
- This dataset mainly includes video recordings of various medical care procedures in emergency room scenarios, covering a range of emergency medical situations.
- What is the role of this dataset in machine learning?
- The dataset can be used to train and validate machine learning models to aid in the development of intelligent systems capable of real-time monitoring of emergency medical situations.
- What contributions does the Emergency Medical Services Video Dataset make to the healthcare field?
- By providing detailed emergency scene video data, this dataset helps improve the efficiency and accuracy of medical handling, increasing the success rate of patient resuscitation.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Emergency Medical Rescue Video Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/e55d4998636814e251d9b96b2dbc08a1?cate=4},
urldate={2026-02-04},
keywords={emergency medical video, medical rescue dataset, medical image recognition},
version={1.0}
}Using this in research? Please cite us.
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