A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch

The widespread adoption of consumer-grade wearable devices, such as Galaxy Watch, has revolutionized personal health monitoring as they enable continuous and non-invasive measurement of key cardiovascular indicators through photoplethysmography (PPG) sensors. However, existing datasets primarily rely on research-grade devices, limiting the applicability of consumer-grade wearables in real-world conditions. To address this gap, this study presents GalaxyPPG, a dataset collected from 24 participants that includes wrist-worn PPG signals from a Galaxy Watch 5 and an Empatica E4, alongside chest-worn ECG data from a Polar H10. Data were captured during diverse activities in a semi-naturalistic setting, providing insights into the sensing performance of consumer-grade wearables under motion- or stress-inducing activities. This dataset is designed to advance applications of PPG signals, such as HR tracking with diverse physical activities and HRV monitoring for stress detection. Additionally, we offer an open-source toolkit for data collection and analysis using Samsung Galaxy Watch, fostering reproducibility and further research leveraging this toolkit.

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Publication Details

Journal
Scientific Data
Published
2025-05-28
DOI
https://doi.org/10.1038/s41597-025-05152-z
Citations
2
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
1.35

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article

A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch

Uichin Lee, Sangjun Park, Danlei Zheng
2 citations
Scientific Data
Non-Invasive Vital Sign Monitoring
1.35
article

A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch

Uichin Lee, Sangjun Park, Danlei Zheng
article en
2 citations

Abstract

The widespread adoption of consumer-grade wearable devices, such as Galaxy Watch, has revolutionized personal health monitoring as they enable continuous and non-invasive measurement of key cardiovascular indicators through photoplethysmography (PPG) sensors. However, existing datasets primarily rely on research-grade devices, limiting the applicability of consumer-grade wearables in real-world conditions. To address this gap, this study presents GalaxyPPG, a dataset collected from 24 participants that includes wrist-worn PPG signals from a Galaxy Watch 5 and an Empatica E4, alongside chest-worn ECG data from a Polar H10. Data were captured during diverse activities in a semi-naturalistic setting, providing insights into the sensing performance of consumer-grade wearables under motion- or stress-inducing activities. This dataset is designed to advance applications of PPG signals, such as HR tracking with diverse physical activities and HRV monitoring for stress detection. Additionally, we offer an open-source toolkit for data collection and analysis using Samsung Galaxy Watch, fostering reproducibility and further research leveraging this toolkit.

Scientific DataVol. 12(1)
Korea Advanced Institute of Science and Technology (KR)
National Research Foundation of Korea
Openalex Percentile: Top 20%
Non-Invasive Vital Sign Monitoring
1.35
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A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch — Uichin Lee, Sangjun Park, et al. · Scientific Data (2025) | TGRS Research Map | TGRS