ai-norms-2024
包含300多名高风险跌倒患者的视频监控数据,覆盖1000多天,用于跌倒检测和安全监控。

基本信息
资源简介
ai-norms-2024
【数据集背景】
本数据集源站标题为《lookdeep/ai-norms-2024》。源站首次发布:2024-11-12。
【数据内容】
源站原始描述:Dataset release in association with 10.3389/fimag.2025.1547166 # Continuous Patient Monitoring with AI: Real-Time Analysis of Video in Hospital Care Settings > **Authors**: Paolo Gutierrez Gabriel (corresponding), Peter Rehani, Tyler Troy, Tiffany Wyatt, Michael Choma and Narinder Singh > > _The manuscript was accepted in ''Frontiers in Imaging - Imaging Applications'' on February 18, 2025._ This is the corresponding code and data repository for the titled manuscript. # Link to Project Page ## Res…
【主题与分类】
主题标签:artificial-intelligence、computer-vision、deep-learning、healthcare、healthcare-analytics、medical-imaging、patient-monitoring、public-dataset。
【获取与许可】
源站页面:https://github.com/lookdeep/ai-norms-2024
使用许可:CC0-1.0。
【使用注意】
· 源站最后修改于 2026-08-19,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
git clone https://github.com/lookdeep/ai-norms-2024.git
curl -L -o repo.zip https://github.com/lookdeep/ai-norms-2024/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录(使用方式)
Continuous Patient Monitoring with AI: Real-Time Analysis of Video in Hospital Care Settings
Authors: Paolo Gutierrez Gabriel (corresponding), Peter Rehani, Tyler Troy, Tiffany Wyatt, Michael Choma and Narinder Singh
The manuscript was accepted in ‘‘Frontiers in Imaging - Imaging Applications’’ on February 18, 2025.
This is the corresponding code and data repository for the titled manuscript.
Link to Project Page
Resources
- accepted manuscript
- arXiv pre-print
- colab notebook
- tutorial notebook (in-repo) — exported from the Colab for local / Paper2Agent use
- company website
- download data -
data/data_by_patient_hour_scrubbed.csv - github repository - use
mainbranch
Citation
If you would like to reference this work, please use:
@article{gabriel2025continuouspatientmonitoringai,
author={Paolo Gabriel, Peter Rehani, Tyler Troy, Tiffany Wyatt, Michael Choma and Narinder Singh},
title={Continuous patient monitoring with AI: real-time analysis of video in hospital care settings},
journal={Frontiers in Imaging},
volume={4},
year={2025},
url={https://www.frontiersin.org/journals/imaging/articles/10.3389/fimag.2025.1547166},
DOI={10.3389/fimag.2025.1547166},
ISSN={2813-3315},
}
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