Gupta Shresth, Singh Anurag, Sharma Abhishek
IIIT Naya Raipur, Raipur, Chhattisgarh 493661 India.
Biomed Eng Lett. 2022 Sep 23;13(1):1-9. doi: 10.1007/s13534-022-00247-7. eCollection 2023 Feb.
Monitoring Mean Arterial Pressure (MAP) helps calculate the arteries' flow, resistance, and pressure. It allows doctors to check how well the blood flows through our body and reaches all major organs. Photoplethysmogram technology is gaining momentum and popularity in smart wearable devices to monitor cuff-less blood pressure (BP). However, the performance reliability of the existing PPG-based BP estimation devices is still poor. Inaccuracy in estimating systolic and diastolic blood pressure leads to an overall imprecision in resultant MAP values. Hence, there is a need for robust and reliable MAP estimation algorithms. This work exploits the moving slope features of PPG contour in its first and second derivatives that directly correlate with MAP and does not require estimating systolic and diastolic blood pressure values. The proposed approach is evaluated using two different data sets (i.e., MIMIC-I and MIMIC-II) to demonstrate the robustness and reliability of the work for personalized non-invasive BP monitoring devices to estimate MAP directly. A mean absolute error of and a standard deviation of is obtained with MIMIC-II data-set using GridSearchCV random forest regressor that outperformed most of the existing related works.
监测平均动脉压（MAP）有助于计算动脉的血流、阻力和压力。它使医生能够检查血液在我们身体内的流动情况以及到达所有主要器官的情况。光电容积脉搏波描记技术在智能可穿戴设备中用于监测无袖带血压（BP），正获得越来越多的关注和普及。然而，现有的基于光电容积脉搏波（PPG）的血压估计设备的性能可靠性仍然较差。收缩压和舒张压估计的不准确导致最终MAP值的整体不精确。因此，需要强大且可靠的MAP估计算法。这项工作利用了PPG轮廓在其一阶和二阶导数中的移动斜率特征，这些特征与MAP直接相关，并且不需要估计收缩压和舒张压值。使用两个不同的数据集（即MIMIC - I和MIMIC - II）对所提出的方法进行评估，以证明该工作对于个性化无创血压监测设备直接估计MAP的稳健性和可靠性。使用GridSearchCV随机森林回归器对MIMIC - II数据集获得了平均绝对误差为 和标准差为 的结果，其性能优于大多数现有的相关工作。
