使用新的脉冲到达时间和机器学习技术检测血压的快速升高
Cody P Anderson1, Gwenael Layec1, Song-Young Park1,2
1School of Health and Kinesiology, University of Nebraska at Omaha, Omaha, Nebraska.
American journal of physiology. Heart and circulatory physiology
|September 5, 2025
概括
这项研究表明,一种新的可穿戴设备平台可以通过脉冲到达时间来检测模拟的高血压. 这项技术可能有助于快速识别高血压危机.
科学领域:
- 生物医学工程
- 心血管生理学
- 可穿戴技术
背景情况:
- 恶性高血压危机需要快速检测以进行有效干预.
- 目前用于连续血压 (BP) 监测的方法有限,特别是在可穿戴应用中.
- 可穿戴设备提供了非侵入性实时生理监测的潜力.
研究的目的:
- 评估可穿戴设备的急性高血压检测平台 (AHDP) 的初步可行性.
- 为了确定AHDP是否能够准确地检测实验室模拟的血压升高.
- 在可穿戴环境中探索脉冲到达时间 (PAT) 对于血压监测的实用性.
主要方法:
- 42名健康的年轻人进行了同位体握手运动,并限制了血液流动以诱导血压升高.
- 收集了连续心电图 (ECG) 和光电图 (PPG) 数据以计算脉冲到达时间 (PAT).
- 使用PATz-score的逻辑回归模型分类了正常压力和高血压状态,性能通过PR-AUC进行评估.
主要成果:
- 同位体运动显著增加了血压 (Δ18.8±15.1 mmHg) 和降低了PAT (Δ-5.6±5.7 ms) (p<0.001).
- 在AHDP模型中,曲线下的精度回忆面积 (PR-AUC) 为0. 68 (p<0. 001),表明成功检测超出了随机机会.
- 为了分类高血压,确定了最佳的PATz-score值为-3. 87.
结论:
- 开发的AHDP在实验室模拟的急性高血压检测中证明了可行性.
- 根据心电图和PPG计算的PAT显示为可穿戴系统中高血压的生物标志物.
- 进一步开发AHDP可能会导致可穿戴设备用于早期检测高血压危机.
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