Characterization and reduction of motion artifacts in photoplethysmographic signals from a wrist-worn device
Abstract
Methods for analyzing various motion artifacts in photoplethysmography (PPG) signals, recorded by a wristworn device are reported. The analysis looks both at intrinsic PPG signal properties, through standard deviation, skew and kurtosis, but also at its relationship to five possible motion reference signals, through the correlation coefficient and mutual information. The investigated references include the X, Y, Z accelerometer axes, acceleration magnitude and a different wavelength PPG channel. The latter showed higher correlation to the input PPG signal during movement. A wavelet based motion artifact reduction algorithm is described. The algorithm improves the visibility of the heart rate (HR) components in the frequency domain representation of the signals.
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Motion artifacts may manifest as missing or false beats, which result in incorrect heart rate calculations.
“Motion artifacts may manifest as missing or false beats which result in incorrect HR calculations.”
From Investigating sources of inaccuracy in wearable optical heart rate sensors (2020) · cites this paper as [36]
Cites
Wearable photoplethysmographic sensors—past and present
Tamura, T., Maeda, Y., Sekine, M., & Yoshida, M. (2014) · Electronics · doi:10.3390/electronics3020282 · Cited by 912 · see citing works
Lee, J., Matsumura, K., Yamakoshi, K.-I., Rolfe, P., Tanaka, S., & Yamakoshi, T. (2013) · 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6609852 · Cited by 202 · see citing works
Reducing motion artifacts in photoplethysmograms by using relative sensor motion: Phantom study
Wijshoff, R. W. C. G. R., Mischi, M., Veen, J., & Van Der Lee, A. M. (2012) · Journal of Biomedical Optics · doi:10.1117/1.jbo.17.11.117007 · Cited by 40 · see citing works
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Ghamari, M. (2018) · International Journal of Biosensors & Bioelectronics · doi:10.15406/ijbsbe.2018.04.00125 · Cited by 945 · see citing works
Investigating sources of inaccuracy in wearable optical heart rate sensors
Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. P. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0226-6 · Cited by 673 · see citing works
Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths
Zhang, Y., Song, S., Vullings, R., Biswas, D., Simões-Capela, N., van Helleputte, N., van Hoof, C., & Groenendaal, W. (2019) · Sensors · doi:10.3390/s19030673 · Cited by 140 · see citing works
Design, development and clinical validation of a wrist-based optical heart rate monitor
Preejith, S. P., Alex, A., Joseph, J., & Sivaprakasam, M. (2016) · 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2016.7533786 · Cited by 41 · see citing works
Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings
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Skin tone, confidence, and data quality of heart rate sensing in WearOS smartwatches
Ray, I., Liaqat, D., Gabel, M., & de Lara, E. (2021) · 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) · doi:10.1109/percomworkshops51409.2021.9431120 · Cited by 23 · see citing works
- Authors
- Tautan, A.-M., Young, A., Wentink, E., & Wieringa, F.
- Affiliations
- Holst Centre (Netherlands) (NL)
- Netherlands Organisation for Applied Scientific Research (NL)
- ORCID
- Wieringa, Fokko
- Venue
- 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publisher
- IEEE
- Published
- 2015-08
- Volume
- 2015
- Pages
- 6146-6149
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2294744698
- Cited by
- 47
- References
- 3
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 7 · 2019: 6 · 2018: 5 · 2017: 4 · 2016: 2
- FWCI
- 7.05
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- TNO Repository (submittedVersion)
- Repository hosted by TU Delft Library (TU Delft) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- photoplethysmography, motion artifacts, wrist-worn devices, artifact reduction, wavelet denoising, heart rate estimation, mutual information
- MeSH terms
- Acceleration, Algorithms, Female, Heart Rate, Humans, Male, Motion, Movement, Signal Processing, Computer-Assisted, Wrist, Artifacts, Photoplethysmography
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