一个试点的人类研究对双光电脉冲扫描用于持续监测脉冲波速度和血压
Tien Nguyen1, Sai Satvik Kolla1, Henry Wang1
1Bristol Medical School (PHS).
概括
一种新型的非侵入性设备使用光聚光显微镜 (PPG) 信号和机器学习来持续监测血压 (BP). 这项技术为传统的BP测量方法提供了更容易获得和更易于使用的替代方案.
科学领域:
- 生物医学工程 生物医学工程
- 心血管技术的心血管技术
- 医疗器械 医疗器械
背景情况:
- 高血压显著导致全球心血管和脏疾病.
- 目前的血压 (BP) 监测方法 (听力测试,振荡计,侵入性) 受到偶发测量,用户变化和现实世界的可行性不足的限制.
- 这些局限性阻碍了早期检测异常血压模式和长期心血管风险评估.
研究的目的:
- 开发和评估一种用于连续监测血压 (BP) 和脉冲波速度 (PWV) 的非侵入性设备.
- 为了利用光电解压学 (PPG) 信号和机器学习进行全面的BP预测.
- 为现有的BP监测技术提供更容易获得和更易于使用的替代方案.
主要方法:
- 使用现成的传感器与基于红外的双PPG传感器相结合.
- 集成的PPG信号与生理测量用于BP预测.
- 采用机器学习算法进行数据分析和BP估计.
- 对25名参与者进行初步试验,将结果与Vicorder设备进行比较.
主要成果:
- 在初步试验中显示出有希望的准确性,与Vicorder设备相比,平均差异为1.1 mmHg (SBP),-0.9 mmHg (DBP) 和-0.2 mmHg (MAP).
- 该设备成功地将PPG信号和生理数据相结合,用于BP预测.
- 最初的测试集中在年轻人群中,显示了更广泛应用的潜力.
结论:
- 开发的基于PPG的非侵入性设备显示了持续,现实世界的BP和PWV监测的潜力.
- 该设备提供了与传统度测量和振荡测量设备相比更好的可用性和可访问性.
- 需要对不同种群进行进一步的研究和测试,以验证其临床实用性.
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