通过盲源分离,估计从股骨血压波形中中央血压波形的估计
Laila Gbaoui1, Christoph Hoeschen1, Eugenijus Kaniusas2
1Chair of Medical System Technology, Institute for Medical Instrumentation, Otto von Guericke University, Magdeburg, Germany.
Frontiers in cardiovascular medicine
|December 4, 2023
概括
一种新的方法可以从外周血压 (pBP) 读数中准确地估计中心血压 (cBP). 这种针对患者的方法可以识别压力波形扭曲,改善心血管风险评估.
科学领域:
- 心血管生理学心血管生理学
- 生物医学工程 生物医学工程
- 医学诊断 医学诊断 医学诊断
背景情况:
- 与周围血压 (pBP) 相比,中央血压 (cBP) 是心血管事件的优越预测因素.
- 目前的非侵入性cBP估计依赖于通用的转移函数,缺乏患者特定的准确性.
- 在临床实践中,一个经过验证的,非侵入性的方法来从pBP中获得个性化的cBP衍生对于临床实践至关重要.
研究的目的:
- 开发一种新的盲源分离工具,用于非侵入性cBP估计.
- 识别导致外围压力波形扭曲的因素.
- 在没有额外的校准或动脉模型假设的情况下创建特定于患者的方法.
主要方法:
- 采用单通道独立组件分析 (SCICA) 来从大腿动脉BP (BPfe) 中提取底层压力波形.
- 为了验证,利用了八名患者的动脉内压力 (BPao) 记录.
- 使用MAE,RMSE,RRMSE,ICC,回归和Bland-Altman分析对SBP,DBP,MAP和PP进行评估的SCICA准确性.
主要成果:
- SCICA准确地估计了BPfe的cBP波形,具有高ICC (0.94) 和低误差指标 (MAE ± 1.629 mmHg,RMSE ± 0.957 mmHg).
- 在估计和动脉内SBP,DBP,MAP和PP之间观察到强烈的线性相关性 (R2>0.97).
- 布兰德-阿尔特曼分析证实估计和大动脉内参数之间的良好一致,平均差异最小.
结论:
- 该SCICA方法有效地估计了中心血压的非侵入性.
- 这种方法成功地识别了外围动脉压力波形扭曲的来源.
- SCICA为临床心血管风险评估提供了一个针对患者的,准确的工具.
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