Wang Yu-Jen, Chen Chia-Hsien, Sue Chung-Yang, Lu Wen-Hsien, Chiou Yee-Hsuan
Department of Mechanical and Electromechanical Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan.
Smart Microsystems Technology Center, Industrial Technology Research Institute, Tainan 70955, Taiwan.
Micromachines (Basel). 2018 Oct 29;9(11):556. doi: 10.3390/mi9110556.
Blood pressure (BP) is a crucial indicator of cardiac health and vascular status. This study explores the relationship between radial artery BP and wrist skin strain. A BP estimation method based on the physical model of wrist skin tissues and pulse wave velocity (PWV) is proposed. A photoplethysmography (PPG) sensor and strain gauge are used in this method. The developed strain-based pulse wave sensor consists of a pressing force sensor, which ensures consistent pressing force, and a strain gauge, which measures the cardiac pulsation on the wrist skin. These features enable long-term BP monitoring without incurring the limb compression caused by a cuff. Thus, this method is useful for individuals requiring continuous BP monitoring. In this study, the BP of each participant was measured in three modes (before, during, and after exercise), and the data were compared using a clinically validated sphygmomanometer. The percentage errors of diastolic and systolic BP readings were, respectively, 4.74% and 4.49% before exercise, 6.38% and 6.10% during exercise, and 5.98% and 4.81% after a rest. The errors were compared with a clinically validated sphygmomanometer.
血压（BP）是心脏健康和血管状况的关键指标。本研究探讨桡动脉血压与手腕皮肤应变之间的关系。提出了一种基于手腕皮肤组织物理模型和脉搏波速度（PWV）的血压估计方法。该方法使用了光电容积脉搏波描记法（PPG）传感器和应变计。所开发的基于应变的脉搏波传感器由一个确保按压力一致的压力传感器和一个测量手腕皮肤心脏搏动的应变计组成。这些特性使得能够在不产生袖带引起的肢体压迫的情况下进行长期血压监测。因此，该方法对需要连续血压监测的个体很有用。在本研究中，以三种模式（运动前、运动期间和运动后）测量了每位参与者的血压，并使用经过临床验证的血压计对数据进行了比较。运动前舒张压和收缩压读数的百分比误差分别为4.74%和4.49%，运动期间为6.38%和6.10%，休息后为5.98%和4.81%。将这些误差与经过临床验证的血压计进行了比较。
