Ho Matthew Yiwen, Pham Hung Manh, Saeed Aaqib, Ma Dong
School of Computing and Information Systems, Singapore Management University, Singapore, Singapore.
Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands.
Sci Data. 2025 Feb 3;12(1):200. doi: 10.1038/s41597-025-04453-7.
Photoplethysmography (PPG) is a simple optical technique widely used in wearable devices for continuous cardiac health monitoring. However, the quality of PPG signals, particularly their morphology, is influenced by the contact pressure between the skin and the sensor. This variability in signal quality complicates complex tasks that rely on high-quality signals, such as blood pressure and heart rate variability estimation, making them less reliable or even impossible. To address this issue, we present a novel dataset (termed WF-PPG) comprising PPG signals from the wrist measured under varying contact pressures, along with high-quality PPG signals from the fingertip captured simultaneously. Data collection was conducted using a custom device setup capable of precisely adjusting the contact pressure for wrist PPG signals while also recording additional metrics such as contact pressure, electrocardiogram (ECG), blood pressure, and oxygen saturation. WF-PPG is designed to facilitate the analysis of effects of contact pressure on PPG morphology and to support the development and evaluation of advanced data-driven techniques aimed at enhancing the reliability of PPG-based health monitoring.
光电容积脉搏波描记法（PPG）是一种简单的光学技术，广泛应用于可穿戴设备中，用于持续的心脏健康监测。然而，PPG信号的质量，尤其是其形态，会受到皮肤与传感器之间接触压力的影响。信号质量的这种变化使得依赖高质量信号的复杂任务变得复杂，如血压和心率变异性估计，使其可靠性降低甚至无法进行。为了解决这个问题，我们提出了一个新颖的数据集（称为WF-PPG），它包含在不同接触压力下从手腕测量的PPG信号，以及同时从指尖捕获的高质量PPG信号。数据收集使用了一个定制的设备设置，该设置能够精确调整手腕PPG信号的接触压力，同时还记录诸如接触压力、心电图（ECG）、血压和血氧饱和度等其他指标。WF-PPG旨在促进对接触压力对PPG形态影响的分析，并支持旨在提高基于PPG的健康监测可靠性的先进数据驱动技术的开发和评估。
