Publication Type
Journal Article
Version
publishedVersion
Publication Date
2-2025
Abstract
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.
Keywords
Blood Pressure, Electrocardiography, Fingers, Heart Rate, Humans, Photoplethysmography, Pressure, Wearable Electronic Devices, Wrist
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Scientific Data
Volume
12
Issue
1
First Page
1
Last Page
11
ISSN
2052-4463
Identifier
10.1038/s41597-025-04453-7
Publisher
Nature Research
Citation
HO, Matthew Yiwen; PHAM, Hung Manh; SAEED, Aaqib; and MA, Dong.
WF-PPG: A wrist-finger dual-channel dataset for studying the impact of contact pressure on PPG morphology. (2025). Scientific Data. 12, (1), 1-11.
Available at: https://ink.library.smu.edu.sg/sis_research/10380
Copyright Owner and License
Authors
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1038/s41597-025-04453-7