Elgendi Mohamed, Jost Elisabeth, Alian Aymen, Fletcher Richard Ribon, Bomberg Hagen, Eichenberger Urs, Menon Carlo
Department of Biomedical Engineering and Biotechnology, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates.
Healthcare Engineering Innovation Group (HEIG), Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates.
Diagnostics (Basel). 2024 Oct 17;14(20):2309. doi: 10.3390/diagnostics14202309.
Blood pressure measurement is a key indicator of vascular health and a routine part of medical examinations. Given the ability of photoplethysmography (PPG) signals to provide insights into the microvascular bed and their compatibility with wearable devices, significant research has focused on using PPG signals for blood pressure estimation. This study aimed to identify specific clinical PPG features that vary with different blood pressure levels. Through a literature review of 297 publications, we selected 16 relevant studies and identified key time-dependent PPG features associated with blood pressure prediction. Our analysis highlighted the second derivative of PPG signals, particularly the b/a and d/a ratios, as the most frequently reported and significant predictors of systolic blood pressure. Additionally, features from the velocity and acceleration photoplethysmograms were also notable. In total, 29 features were analyzed, revealing novel temporal domain features that show promise for further research and application in blood pressure estimation.
血压测量是血管健康的关键指标，也是医学检查的常规项目。鉴于光电容积脉搏波描记法（PPG）信号能够提供有关微血管床的信息，且与可穿戴设备兼容，大量研究聚焦于利用PPG信号进行血压估计。本研究旨在确定随不同血压水平变化的特定临床PPG特征。通过对297篇出版物的文献综述，我们选择了16项相关研究，并确定了与血压预测相关的关键时间依赖性PPG特征。我们的分析强调，PPG信号的二阶导数，特别是b/a和d/a比值，是收缩压最常被报道且具有显著意义的预测指标。此外，速度光电容积脉搏波和加速度光电容积脉搏波的特征也值得关注。总共分析了29个特征，揭示了新的时域特征，这些特征在血压估计的进一步研究和应用中显示出前景。
