The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Motion artifact reduction in wearable photoplethysmography based on multi-channel sensors with multiple wavelengths.
Open accessAbstract
Photoplethysmography (PPG) is an easy and convenient method by which to measure heart rate (HR). However, PPG signals that optically measure volumetric changes in blood are not robust to motion artifacts. In this paper, we develop a PPG measuring system based on multi-channel sensors with multiple wavelengths and propose a motion artifact reduction algorithm using independent component analysis (ICA). We also propose a truncated singular value decomposition for 12-channel PPG signals, which contain direction and depth information measured using the developed multi-channel PPG measurement system. The performance of the proposed method is evaluated against the R-peaks of an electrocardiogram in terms of sensitivity (Se), positive predictive value (PPV), and failed detection rate (FDR). The experimental results show that Se, PPV, and FDR were 99%, 99.55%, and 0.45% for walking, 96.28%, 99.24%, and 0.77% for fast walking, and 82.49%, 99.83%, and 0.17% for running, respectively. The evaluation shows that the proposed method is effective in reducing errors in HR estimation from PPG signals with motion artifacts in intensive motion situations such as fast walking and running.
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“First, our approximation of wear time was based on available per-minute HR values, which have been used in previous studies22; however, wearable device data are affected by motion artifacts.64,65 Thus, our measure of wear time may be an imperfect proxy.”
From Association of Demographic and Socioeconomic Indicators With the Use of Wearable Devices Among Children (2023) · cites this paper as [65]
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Metadata
- Authors
- Lee, J., Kim, M., Park, H.-K., & Kim, I. Y.
- Affiliations
- Hanyang University (KR)
- Corresponding author
- Park, Hoon-Ki
- Kim, In Young
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2020-03-09
- Volume
- 20
- Issue
- 5
- Pages
- 1493
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC7085621
- OpenAlex
- W3009321689
- Cited by
- 153
- References
- 29
- Citations by year
- 2026: 34 · 2025: 27 · 2024: 13 · 2023: 15 · 2022: 35 · 2021: 19 · 2020: 10
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation of Korea (2018R1A5A7025522)
- 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 artifact reduction, wearable sensors, multi-channel sensor, multiple wavelengths, independent component analysis, truncated singular value decomposition, heart rate estimation, R-peak detection, electrocardiogram, walking and running
- MeSH terms
- Wearable Electronic Devices, Adult, Electrocardiography, Equipment Design, Female, Heart Rate, Humans, Male, Signal Processing, Computer-Assisted, Walking, Artifacts, Photoplethysmography, Young Adult
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