基于实时动态心电图监测系统的智能可穿戴设备的设计
Wenshu Liu1, Jinmei Zhang1, Chunyu Li2
1School of Design, South China University of Technology, Guangzhou University Guangzhou, Guangdong, China.
American journal of translational research
|December 11, 2023
概括
智能服装现在提供实时心电图 (ECG) 监测,整合虚拟护理和远程诊断. 这种可穿戴技术增强了患者监测,有助于诊断心脏病,改善了医疗保健的可访问性.
科学领域:
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
- 数字健康数字健康
背景情况:
- 随着COVID-19的流行,传统医疗保健的局限性得到了凸显.
- 对于远程医疗援助和虚拟护理解决方案的需求越来越大.
- 智能医疗设备正在因其在持续健康监测方面的潜力而受到关注.
研究的目的:
- 设计和开发能够实时监测心电图 (ECG) 的智能服装.
- 将远程诊断功能集成到可穿戴医疗设备中.
- 解决对可访问和高效虚拟医疗援助的需求.
主要方法:
- 基于霍尔特系统设计的ECG监测智能服装.
- 集成的四肢线,导电纤维织物和信号接收器使用身体的传感导电原理.
- 开发了一个用于远程数据传输,共享和在线辅助诊断的网络平台,包括一个实时监控应用程序.
主要成果:
- 开发的智能服装可实现实时ECG监测和虚拟医疗护理.
- 成功解决了与电极信号存储接收器相关的设计挑战.
- 证明了对心脏病风险较高的个体进行自动监测的潜力.
结论:
- 智能服装符合ECG监测的传统诊断准确性标准.
- 将实时ECG监测与智能服装的方便性相结合.
- 为患者和医疗专业人员的日常医疗保健需求提供创新解决方案.
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