探索使用光聚聚体图信号估计血压的局限性
Felipe M Dias1,2, Diego A C Cardenas1, Marcelo A F Toledo1
1Heart Institute (InCor), Clinics Hospital University of Sao Paulo Medical School, Brazil.
Physiological measurement
|April 10, 2025
概括
摄影脉冲图 (PPG) 显示出血压 (BP) 监测的潜力,但单位PPG信号可能不足以准确地进行可靠的BP估计. 在这项研究中,侵入性动脉血压信号的表现优于PPG.
科学领域:
- 生物医学工程 生物医学工程
- 心血管监测 心血管监测
- 信号处理 信号处理
背景情况:
- 高血压是心血管疾病的主要原因,需要精确的血压 (BP) 监测.
- 光电脉学 (PPG) 为持续的血压监测提供了一种非侵入性方法,但其准确性仍在争论中.
- 评估PPG对血压估计的有效性需要对其潜力和局限性的彻底评估.
研究的目的:
- 评估从单位光多缩图 (PPG) 信号估计血压 (BP) 的潜力和局限性.
- 为了比较正常化PPG (N-PPG) 与正常化侵入性动脉血压 (N-IABP) 的性能,以估计血压.
主要方法:
- 基于校准的罗人ResNet模型被开发用于BP估计.
- 模型的性能使用正常化PPG (N-PPG) 和正常化侵入性动脉血压 (N-IABP) 信号进行了评估.
- 在遵守AAMI和BHS标准的VitalDB数据集上进行了评估.
主要成果:
- 使用N-IABP信号的推断满足了AAMI标准,无论是静缩 (SBP) 还是静缩 (DBP) 血压 (分别为1.29±6.33 mmHg和1.17±5.78 mmHg).
- 与N-IABP相比,基于N-PPG的推断显示性能较差,在最佳设置中,SBP的误差为1.49±11.82 mmHg,DBP的误差为0.89±7.27 mmHg.
- 这些结果表明,即使使用直接压力传感器数据,BP估计也存在挑战,这表明PPG的难度更大.
结论:
- 该研究在BP估计中建立了PPG性能的基准,提供了现实的预期.
- 虽然PPG信号包含与BP相关的信息,但它们本身可能不足以准确预测BP.
- 需要进一步的研究来提高像PPG这样的非侵入性BP监测技术的准确性.
关键词:
ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP ABP这是一个PPGPPG.血压 血压 血压 血压深度学习是一种深度学习.侵袭性动脉动脉血压 侵袭性动脉动脉血压摄影复合体学 摄影复合体学 摄影复合体学西安网络的西安网络.更多相关视频
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