Li Yanlu, Marais Louise, Khettab Hakim, Quan Zhiheng, Aasmul Soren, Leinders Rob, Schüler Ralf, Morrissey Padraic E, Greenwald Stephen, Segers Patrick, Vanslembrouck Michael, Bruno Rosa M, Boutouyrie Pierre, O'Brien Peter, de Melis Mirko, Baets Roel
Photonics Research Group, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052, Ghent, Belgium.
Center for Nano- and Biophotonics, Ghent University, Technologiepark-Zwijnaarde 126, 9052, Ghent, Belgium.
Biomed Opt Express. 2020 Jun 22;11(7):3913-3926. doi: 10.1364/BOE.394921. eCollection 2020 Jul 1.
Pulse wave velocity (PWV) is a reference measure for aortic stiffness, itself an important biomarker of cardiovascular risk. To enable low-cost and easy-to-use PWV measurement devices that can be used in routine clinical practice, we have designed several handheld PWV sensors using miniaturized laser Doppler vibrometer (LDV) arrays in a silicon photonics platform. The LDV-based PWV sensor design and the signal processing protocol to obtain pulse transit time (PTT) and carotid-femoral PWV in a feasibility study in humans, are described in this paper. Compared with a commercial reference PWV measurement system, measuring arterial pressure waveforms by applanation tonometry, LDV-based displacement signals resulted in more complex signals. However, we have shown that it is possible to identify reliable fiducial points for PTT calculation using the maximum of the 2 derivative algorithm in LDV-based signals, comparable to those obtained by the reference technique, applanation tonometry.
脉搏波速度（PWV）是主动脉僵硬度的参考指标，而主动脉僵硬度本身就是心血管风险的重要生物标志物。为了开发出可用于常规临床实践的低成本、易用的PWV测量设备，我们在硅光子平台上使用小型化激光多普勒振动计（LDV）阵列设计了几种手持式PWV传感器。本文介绍了基于LDV的PWV传感器设计以及在人体可行性研究中获取脉搏传播时间（PTT）和颈股PWV的信号处理协议。与通过压平式眼压计测量动脉压力波形的商用参考PWV测量系统相比，基于LDV的位移信号产生的信号更为复杂。然而，我们已经表明，使用基于LDV信号的二阶导数算法的最大值来识别用于PTT计算的可靠基准点是可行的，这与通过参考技术压平式眼压计获得的基准点相当。
