research-article

Analysing performances of Heart Rate Variability measurement through a smartwatch

Authors:

Nicole Morresi,

Matteo Sorcinelli,

Marco Arnesano,

Gian Marco RevelAuthors Info & Claims

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

Pages 1 - 6

https://doi.org/10.1109/MeMeA49120.2020.9137211

Published: 01 June 2020 Publication History

Abstract

This paper presents the experimental performance assessment of a smartwatch (SW) measuring the heart rate variability (HRV), compared to a multi-parametric chest belt that is considered as a reference sensor. HRV from smartwatch can be extracted with two methods: directly from internal onboard processing of the device or by post-processing data collected from the photoplethysmography signal. To evaluate the uncertainty of both methods, measurements were performed while users were sitting at rest, wearing the SW on the preferred wrist and a chest belt that can collect electrocardiographic signal, used as reference measurement. Measurements from SW and belt were compared turning out to provide that HRV measured with the SW (onboard processing) has an uncertainty of 0.95% with a coverage factor k = 2, corresponding to ± 4 ms; while HRV extracted from the PPG signal has an uncertainty of 1.2%, corresponding to ± 6 ms, indicating that at rest condition the HRV measured directly with the onboard system of the SW can be used to assess correctly the HRV.

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Cited By

Wang LWang XZhang DMa XZhang YDai HXu CLi ZGu T(2023)Knowing Your Heart Condition AnytimeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108717:3(1-28)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610871
Casaccia SRevel GScalise LCucchieri GRossi L(2021)Smartwatches selection: market analysis and metrological characterization on the measurement of number of steps2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)10.1109/MeMeA52024.2021.9478770(1-5)Online publication date: 23-Jun-2021
https://dl.acm.org/doi/10.1109/MeMeA52024.2021.9478770
Cosoli GPoli AScalise LSpinsante S(2021)Heart Rate Variability Analysis With Wearable Devices: Influence of Artifact Correction Method on Classification Accuracy for Emotion Recognition2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)10.1109/I2MTC50364.2021.9459828(1-6)Online publication date: 17-May-2021
https://dl.acm.org/doi/10.1109/I2MTC50364.2021.9459828

Index Terms

Analysing performances of Heart Rate Variability measurement through a smartwatch
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

Jun 2020

845 pages

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Published: 01 June 2020

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Cited By

Wang LWang XZhang DMa XZhang YDai HXu CLi ZGu T(2023)Knowing Your Heart Condition AnytimeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108717:3(1-28)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610871
Casaccia SRevel GScalise LCucchieri GRossi L(2021)Smartwatches selection: market analysis and metrological characterization on the measurement of number of steps2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)10.1109/MeMeA52024.2021.9478770(1-5)Online publication date: 23-Jun-2021
https://dl.acm.org/doi/10.1109/MeMeA52024.2021.9478770
Cosoli GPoli AScalise LSpinsante S(2021)Heart Rate Variability Analysis With Wearable Devices: Influence of Artifact Correction Method on Classification Accuracy for Emotion Recognition2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)10.1109/I2MTC50364.2021.9459828(1-6)Online publication date: 17-May-2021
https://dl.acm.org/doi/10.1109/I2MTC50364.2021.9459828

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