Motion artifact cancellation in wearable photoplethysmography using gyroscope
Abstract
Wearable reflectance-type photoplethysmography (PPG) sensors, in the form of a band or watch, have recently gained significant attention for real-time heart rate (HR) monitoring applications. To accurately estimate the HR, even during intensive exercise, much effort has focused on simultaneously measured accelerometer signals that cancel out motion artifacts (MAs) from the PPG signal. However, the accelerometer does not always measure true MAs, as it measures not only the acceleration of motion but also gravitational acceleration corresponding to each axis of the accelerometer. In addition, the measured acceleration of the motion itself does not always coincide with the true motion. In this paper, we address the limitations of accelerometers and present an approach using a gyroscope to overcome the issues described. To the best of our knowledge, the limitations of the acceleration signals for MA cancellation have not been addressed in-depth. Here, we describe our developed wearable reflectance-type PPG sensor and compare the HR estimation performance between using a gyroscope and an accelerometer from 24 subjects. Our results showed that the gyroscope-assisted approach exhibited better performance than the accelerometer-assisted approach, especially for an exercise involving walking.
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Secondary sensors can be integrated into PPG sensors to detect motion, including accelerometers, gyroscopes, piezoelectric transducers, or another wavelength of light as a motion reference.
“As implemented by consumer-grade HR monitors, secondary sensors can also be integrated into PPG sensors to detect motion. These include accelerometers [175,176,177,178,179], gyroscopes [179,180], piezoelectric transducers [181], or the utilization of another wavelength of light as a motion reference [182,183].”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [180]
Accelerometers and gyroscopes are the standards, but when trying to measure micro motions such as finger tapping, they do not always pick up on the motion because the wrist remains still.
“Accelerometers and gyroscopes are the standards, but when trying to measure micro motions such as finger tapping, accelerometers and gyroscopes do not always pick up on the motion because the wrist remains still.”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [180]
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- Authors
- Lee, H., Chung, H., & Lee, J.
- Affiliations
- Wonkwang University (KR)
- Venue
- IEEE Sensors Journal
- Published
- 2019-02-01
- Volume
- 19
- Issue
- 3
- Pages
- 1166-1175
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W2899602604
- Semantic Scholar
- cedc5607838d154554d7b6f1fe86858214b16175
- Cited by
- 79
- References
- 21
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 11 · 2023: 11 · 2022: 15 · 2021: 17 · 2020: 4 · 2019: 10
- FWCI
- 3.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Sensors Journal (publishedVersion)
- Funders
- National Research Foundation of Korea
- Ministry of Science, ICT and Future Planning (NRF-2016R1D1A1B03934938, NRF-2015M3A9D7067215)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- motion artifact removal, photoplethysmography, wearable sensors, gyroscope, accelerometer, heart rate estimation, exercise monitoring
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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