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Preliminary Assessment of the Samsung Galaxy Watch 5 Accuracy for the Monitoring of Heart Rate and Heart Rate Variability Parameters

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MEDICON’23 and CMBEBIH’23 (MEDICON 2023, CMBEBIH 2023)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 93))

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Abstract

In the last years, commercial smartwatches have gained popularity as non-invasive and wearable devices to be exploited for the monitoring of the cardiovascular system in daily-life settings. However, their reliability is still unclear. In this preliminary study, we evaluated the accuracy of heart rate (HR) and HR variability (HRV) estimates obtained from the Samsung Galaxy Watch 5 (SGW5) compared to a common research-grade ECG sensor, i.e., the Shimmer3 ECG unit (ShimECG), during both a resting and walking conditions. For each condition, we compared HRV features of SGW5 and ShimECG extracted in time, frequency, and non-linear domains through correlation and Bland-Altman analysis. Additionally, we compared SGW5 performance with those obtained from a research-grade PPG sensor. Our results revealed an unbiased and high-quality estimate of mean HR obtained from the SGW5. Moreover, at rest, other relevant HRV features showed a significant correlation between the SGW5 and ShimECG. Conversely, during the walking condition, we found poor performances for both PPG devices for most of the HRV features. Such preliminary results confirm the reliability of SGW5 to estimate mean HR. However, the reliability of SGW5- derived PRV to extract sympathovagal correlates is still an open question and deserves further investigation.

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Acknowledgment

Funded by the European Union. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. The work is supported by European Union’s Horizon Europe Research and Innovation Programme under grant agreement No. 101057103 – project TOLIFE.

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Authors and Affiliations

  1. Dipartimento Di Ingegneria Dell’Informazione, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy

    Gianluca Rho, Francesco Di Rienzo, Carlotta Marinai, Francesca Giannetti, Lucia Arcarisi, Francesca Righetti, Carlo Vallati, Nicola Carbonaro, Alessandro Tognetti & Alberto Greco

  2. Research Center ”E. Piaggio”, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy

    Gianluca Rho, Nicola Carbonaro, Alessandro Tognetti & Alberto Greco

  3. Institute of Clinical Physiology, National Research Council, Via Giuseppe Moruzzi 1, 56124, Pisa, Italy

    Pasquale Bufano, Michele Zanoletti & Marco Laurino

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  1. Gianluca Rho
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  2. Francesco Di Rienzo
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Correspondence to Gianluca Rho .

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Editors and Affiliations

  1. Verlab Research Institute for Biomedical Engineering, Medical Devices, and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina

    Almir Badnjević

  2. Verlab Research Institute for Biomedical Engineering, Medical Devices, and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina

    Lejla Gurbeta Pokvić

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Rho, G. et al. (2024). Preliminary Assessment of the Samsung Galaxy Watch 5 Accuracy for the Monitoring of Heart Rate and Heart Rate Variability Parameters. In: Badnjević, A., Gurbeta Pokvić, L. (eds) MEDICON’23 and CMBEBIH’23. MEDICON CMBEBIH 2023 2023. IFMBE Proceedings, vol 93. Springer, Cham. https://doi.org/10.1007/978-3-031-49062-0_3

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  • DOI: https://doi.org/10.1007/978-3-031-49062-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49061-3

  • Online ISBN: 978-3-031-49062-0

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