V-IDENT:通过基于PPG的用户识别来提高患者安全
Katja Bochtler1,2, Jonas Schropp2, Michael Weber3
1University of Applied Sciences Kempten.
Studies in health technology and informatics
|October 3, 2025
概括
这项研究介绍了一种使用生命体征进行生物识别身份验证的AI系统,用于移动患者监控. 这提高了安全性,并防止了设备-患者混,改善了临床工作流程.
科学领域:
- 生物医学工程 生物医学工程
- 人工智能的人工智能
- 医疗保健安全 医疗保健安全
背景情况:
- 移动患者监控系统缺乏强大的身份验证.
- 设备与患者的混在医疗保健中构成重大安全风险.
- 目前用于患者识别的"智能医疗设备"无法使用.
研究的目的:
- 开发基于人工智能的生物识别认证系统,使用生理信号.
- 根据独特的生物识别模式来识别患者.
- 提高移动患者监控的安全性和安全性.
主要方法:
- 使用生命体征 (生理信号) 进行生物识别认证.
- 开发用于模式识别和识别的AI算法.
- 将身份验证组件集成到患者监控平台中.
主要成果:
- 成功实现基于人工智能的识别系统.
- 证明了使用生命体征进行生物识别身份验证的可行性.
- 建立了使用前验证患者身份的方法.
结论:
- 开发的系统提供了一种可靠的方法,用于在使用设备之前验证患者身份.
- 集成到监测平台支持更安全,更有效的临床工作流程.
- 这种人工智能驱动的生物识别身份验证解决了智能医疗设备中的关键缺口.
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