使用多PPG传感器位置信息在定位的手腕区域改善无袖血压估计
IEEE journal of biomedical and health informatics
|October 8, 2025
概括
优化传感器的位置可显著改善使用光聚光学 (PPG) 的血压 (BP) 估计. 多传感器阵列,特别是近辐射动脉的5通道设置,实现了无袖血压监测的卓越准确性.
科学领域:
- 生物医学工程 生物医学工程
- 生理测量生理测量
- 可穿戴技术可穿戴技术
背景情况:
- 血压 (BP) 测量精度对传感器的位置敏感.
- 摄影脉冲图 (PPG) 为无袖式血压监测提供了一个潜在的途径.
- 不同传感器位置的PPG信号特征的变化还没有得到充分理解.
研究的目的:
- 调查多传感器位置对使用PPG的BP估计准确性的影响.
- 开发和验证一个新的深度学习模型 (3M-BPNet) 以提高BP估计.
- 为了确定无袖血压测量设备的最佳传感器配置.
主要方法:
- 在手腕上使用了9通道单波长PPG传感器阵列.
- 分析了PPG特征的特定地点变异.
- 开发了3M-BPNet,包括信号修剪,道权重的贝叶斯优化,以及个性化的随机森林回归 (RFR) 模型.
- 对121名受试者进行了模型评估.
主要成果:
- 在所有受试者中,3M-BPNet实现了4.84 mmHg (SBP) 和3.28 mmHg (DBP) 的MAE.
- BP估计准确度提高,通道数量增加到5,然后下降.
- 在辐射动脉附近的最佳5通道配置产生了1.33 mmHg (SBP) 和1.16 mmHg (DBP) 的MAE.
- 这种5通道设置比单通道测量显著提高了准确性 (72.6% SBP,73.2% DBP),并且优于以前的PPG方法.
结论:
- 传感器位置极大地影响了基于PPG的BP估计准确性.
- 优化的多传感器放置,特别是在辐射动脉附近,增强了无袖血压监测.
- 这些发现指导了准确的可穿戴血压器件的设计,以改善高血压管理.
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