The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion
Open accessAbstract
Reflection photoplethysmography (PPG) using 530 nm (green) wavelength light has the potential to be a superior method for monitoring heart rate (HR) during normal daily life due to its relative freedom from artifacts. However, little is known about the accuracy of pulse rate (PR) measured by 530 nm light PPG during motion. Therefore, we compared the HR measured by electrocadiography (ECG) as a reference with PR measured by 530, 645 (red), and 470 nm (blue) wavelength light PPG during baseline and while performing hand waving in 12 participants. In addition, we examined the change of signal-to-noise ratio (SNR) by motion for each of the three wavelengths used for the PPG. The results showed that the limit of agreement in Bland-Altman plots between the HR measured by ECG and PR measured by 530 nm light PPG (±0.61 bpm) was smaller than that achieved when using 645 and 470 nm light PPG (±3.20 bpm and ±2.23 bpm, respectively). The ΔSNR (the difference between baseline and task values) of 530 and 470nm light PPG was significantly smaller than ΔSNR for red light PPG. In conclusion, 530 nm light PPG could be a more suitable method than 645 and 470nm light PPG for monitoring HR in normal daily life.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Ambient artifacts are for example light artifacts interfering with the light of the PPG sensor43, weather conditions, such as high humidity which increases the moisture level of the skin surface and thus its conductivity44, as well as coverage of the device for example by a blanket which increases the temperature and thereby potentially EDA levels45.”
From Data quality evaluation in wearable monitoring (2022) · cites this paper as [43]
Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Photoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967
Anderson, R. R., & Parrish, J. A. (1981) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12479191 · Cited by 2,456
Maeda, Y., Sekine, M., & Tamura, T. (2011) · Journal of Medical Systems · doi:10.1007/s10916-010-9505-0 · Cited by 203
Reddy, K. A., George, B., & Kumar, V. J. (2008) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2008.2009136 · Cited by 165
In vivo reflectance of blood and tissue as a function of light wavelength
Cui, W., Ostrander, L. E., & Lee, B. Y. (1990) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.55667 · Cited by 149
Spīgulis, J., Gailite, L., Lihachev, A., & Erts, R. (2007) · Applied Optics · doi:10.1364/ao.46.001754 · Cited by 98
Han, H., & Kim, J. (2011) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2011.12.005 · Cited by 92
Matsumura, K., & Yamakoshi, T. (2013) · Behavior Research Methods · doi:10.3758/s13428-012-0312-z · Cited by 87
Self-citationPulsed multifrequency photoplethysmograph
Giltvedt, J., Sira, A., & Helme, P. (1984) · Medical & Biological Engineering & Computing · doi:10.1007/bf02442745 · Cited by 47
Lee, J., Matsumura, K., Yamakoshi, T., Rolfe, P. J., Tanaka, N., Kim, K.-H., & Yamakoshi, K.-I. (2013) · Physiological Measurement · doi:10.1088/0967-3334/34/3/359 · Cited by 31
Self-citationLozano‐Nieto, A. (2008) · CRC Press eBooks · doi:10.1201/b18990-30 · Cited by 9
Research works printed but not linked: 1
- challoner, 1979, Photoelectric plethysmography for estimating cutaneous blood flow, Noninvasive Physiological Measurements, 1, 125
Cited by
Sorted by citations
Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice
Mukkamala, R., Hahn, J.-O., Inan, O. T., Mestha, L. K., Kim, C.-S., Toreyin, H., & Kyal, S. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2441951 · Cited by 935
“For reflectance-mode PPG, the green wavelength produces greater signal amplitude and lower motion artifact than IR and red [69], [75]–[77].”
BackgroundPhotoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging
Sun, Y., & Thakor, N. V. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2476337 · Cited by 589
Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring
Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors · doi:10.3390/bios11040126 · Cited by 348
An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications
Wu, F., Wu, T., & Yuce, M. R. (2018) · Sensors · doi:10.3390/s19010021 · Cited by 302
Jinno, H., Yokota, T., Koizumi, M., Yukita, W., Saito, M., Osaka, I., Fukuda, K., & Someya, T. (2021) · Nature Communications · doi:10.1038/s41467-021-22558-6 · Cited by 253
Metadata
- Authors
- Lee, J., Matsumura, K., Yamakoshi, K.-I., Rolfe, P., Tanaka, S., & Yamakoshi, T.
- Affiliations
- Kanazawa University (JP)
- Harbin Institute of Technology (CN)
- Venue
- 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publisher
- IEEE
- Published
- 2013-07
- Volume
- 2013
- Issue
- 6609852
- Pages
- 1724-1727
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W1988770599
- Cited by
- 202
- References
- 12
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 23 · 2023: 26 · 2022: 19 · 2021: 16 · 2020: 14 · 2019: 19 · 2018: 23 · 2017: 19 · 2016: 11 · 2015: 15 · 2014: 5
- FWCI
- 20.48
- Type
- conference paper
- Language
- en
- Open access
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
- Kanazawa University Repository for Academic Resources (DSpace) (Kanazawa University) (submittedVersion, cc-by-nc-nd)
- Funders
- Kissei
- Japan Society for the Promotion of Science (24650443)
- 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
- heart rate monitoring, motion artifacts, signal-to-noise ratio, hand waving, ECG comparison, wearable sensors, non-contact vital sign monitoring
- MeSH terms
- Adult, Heart Rate, Humans, Light, Male, Movement, Photoplethysmography, Monitoring, Ambulatory, Young Adult, Signal-To-Noise Ratio
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 ›
Are you an author, or do you see a problem with this page? Request a review