一本指南测量心脏和呼吸速率基于现成的光电系统硬件和开源软件
Guylian Stevens1, Luc Hantson2, Michiel Larmuseau3
1Department of Electronics and Information Systems-IBiTech, Korneel Heymanslaan, Ghent University, 9000 Ghent, Belgium.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
这项研究开发了一种负担得起的,开源的可穿戴传感器,用于远程监测生命体征. 该设备准确测量心率和呼吸率,与昂贵的商业选择相美.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 可穿戴技术可穿戴技术
背景情况:
- 使用可穿戴设备远程监测生命体征可以降低医疗保健成本并改善老年人护理.
- 摄影电磁镜 (PPG) 是测量心率,呼吸率,氧和和血压的一种有前途的技术.
- 现有的商业可穿戴设备通常很昂贵,并使用专有数据系统,限制了可访问性.
研究的目的:
- 开发一个开源的PPG传感器,使用负担得起的,现成的组件.
- 与商业设备相比,评估开源传感器对生命体征测量 (心率和呼吸率) 的准确性.
- 民主化对可穿戴生命体征监测技术的使用.
主要方法:
- 一项前性,单中心研究,涉及15名参与者在四种姿势 (仰卧,坐着,站着,行走).
- 开发一个开源的PPG传感器,使用四个脉冲传感器和绿色光在反射模式.
- 使用开源Python包进行信号处理,评估用于心率和呼吸率计算的多个算法.
主要成果:
- 纽罗基特管道取得了最好的心率结果 (坐姿):斯皮尔曼系数为0.9,平均差异为0.59BPM.
- 结合Neurokit和Charlton算法提供了最好的呼吸速率结果:斯皮尔曼系数为0.82,平均差异为1.90 BrPM.
- 开源传感器显示了与商业医疗设备相比较的生命体征测量.
结论:
- 现成的硬件和开源软件可以创建准确且负担得起的可穿戴生命体征监测解决方案.
- 这种方法有可能提高远程患者监控技术的可访问性.
- 进一步的研究可以为更广泛的临床应用优化算法和硬件.
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