在移动平台上使用智能心电图进行患者自我监测
Malin Jakobsen1, Ankica Babic1,2
1Department of Information Science and Media Studies, University of Bergen, Bergen, Norway.
Studies in health technology and informatics
|October 23, 2023
概括
这项研究引入了使用智能心电图 (PCG) 和数字平台的远程患者自我监测系统. 该系统通过数据共享和分析提高了患者的认识,并促进了医生咨询.
科学领域:
- 生物医学工程 生物医学工程
- 数字健康数字健康
- 心脏病学 心脏病学
背景情况:
- 远程患者自我监测提供了诸如提高患者意识和便利性等好处.
- 现有的系统可能缺乏为患者和医生提供综合平台.
- 声心图 (PCG) 是用于心脏评估的有价值的诊断工具.
研究的目的:
- 设计和开发一个远程患者自我监控系统的高保真原型.
- 将智能心声学与移动和基于网络的平台集成为患者和医生使用.
- 为了使患者和医生之间能够共享数据和咨询.
主要方法:
- 开发两个不同的原型:一个为患者,一个为医生.
- 实施用户配置文件,以便为每个用户类型提供不同的功能.
- 利用智能心声学来进行信号测量和分析.
主要成果:
- 成功开发具有核心功能的患者和医生原型.
- 患者原型允许PCG信号测量和结果审查.
- 医生原型提供了患者概述和咨询的历史数据查询.
结论:
- 开发的系统支持远程患者自我监测和医生咨询.
- 在挪威卫生领域实施临床验证和监管批准是必要的.
- 该系统的设计有助于改善患者参与和医生监督.
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