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file_name
stringclasses
5 values
quality
stringclasses
5 values
device_type
stringclasses
2 values
device_condition
stringclasses
2 values
device_model
stringclasses
4 values
alert_status
stringclasses
3 values
480c639d81f3113ebc3ffdbfe4323db5.jpg
1280*1644
Defibrillator
Normal
Mindray BeneHeart D3
No Alert
79757bc6ad457111a24ef7d7e62ce64a.jpg
1316*720
Defibrillator
Normal
LIFEPAK 20
No alert
8a7f703f0ba3edf386391124407c3613.jpg
1280*958
defibrillator
normal
BeneHeart D3
no alert
d9eeac7ffd75e17da4c9d83f568481e7.jpg
1280*1706
Defibrillator
Normal
Mindray BeneHeart D3
No Alert
ec3919b9ab9e9d8a7b0a0aec695083ed.jpg
1280*960
Defibrillator
Normal
BeneHeart D2
No alert

Real-Time Emergency Equipment Monitoring Dataset

The current medical industry faces numerous challenges in the monitoring and management of emergency equipment. Insufficient real-time monitoring of emergency equipment leads to an inability to promptly detect equipment failures, affecting treatment outcomes. Existing solutions primarily rely on manual monitoring, which is inefficient and error-prone. This dataset aims to provide high-quality equipment monitoring image data to assist researchers and developers in training machine learning models, improving the accuracy and timeliness of equipment failure detection. The dataset contains images from various emergency scenarios, captured using high-resolution camera equipment to ensure the quality of each image. The data has undergone multiple rounds of annotation and expert review to ensure consistency and accuracy in labeling. Data is stored in JPEG format, organized by category and time, facilitating subsequent retrieval and use.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
device_type string The category of emergency device, such as pacemaker, ventilator, etc.
device_condition string The current operating condition of the device, such as normal, malfunctioning, under maintenance, etc.
device_model string The specific model information of the emergency device.
alert_status string Whether the device is in an alert state, such as alert active, no alert.

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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