Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion
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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.
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Ambient artifacts include light artifacts interfering with the light of the PPG sensor, weather conditions such as high humidity which increases the moisture level of the skin surface and thus its conductivity, and coverage of the device for example by a blanket which increases the temperature and thereby potentially EDA levels.
“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]
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Remote measurement of heart rate from facial video in different scenarios
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Preclinical Evaluation of a Wearable Wristband With Compressed-Sensing Based Photoplethysmography
Ahmmed, P., Garceau, E. L., Latif, T., Brewer, A., Dieffenderfer, J. P., Valero-Sarmiento, J. M., Pamula, V. R., Helleputte, N. V., Hoof, C. A. V., Verhelst, M., et al. (2024) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2024.3513462 · Cited by 14 · see citing works
Embedded system in handheld water turbidity meter for smallholders
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Low-cost wearable bluetooth sensor for epileptic episodes detection
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Bioelectronic devices for light-based diagnostics and therapies
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Wearable edge machine learning with synthetic photoplethysmograms
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- 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
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