MW-PPG Sensor: An on-Chip Spectrometer Approach
Open accessAbstract
Multi-wavelength photoplethysmography (MW-PPG) sensing technology has been known to be superior to signal-wavelength photoplethysmography (SW-PPG) sensing technology. However, limited by the availability of sensing detectors, many prior studies can only use conventional bulky and pricy spectrometers as the detectors, and hence cannot bring the MW-PPG technology to daily-life applications. In this study we developed a chip-scale MW-PPG sensor using innovative on-chip spectrometers, aimed at wearable applications. Also in this paper we present signal processing methods for robustly extracting the PPG signals, in which an increase of up to 50% in the signal-to-noise ratio (S/N) was observed. Example measurements of saturation of peripheral blood oxygen (SpO2) and blood pressure were conducted.
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Blood oxygenation is proportional to reflected red light (622-780 nm) and IR (780-2400 nm).
“Blood oxygenation is proportional to reflected red light (622–780 nm) and IR (780–2400 nm) [87].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [87]
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- Authors
- Chang, C.-C., Wu, C.-T., Choi, B. I., & Fang, T.-J.
- Affiliations
- National Taipei University of Technology (TW)
- nanoLambda Co. Ltd., Daejeon 34141, Korea
- National Defense Medical Center (TW)
- Corresponding author
- Chang, Cheng-Chun
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2019-08-26
- Volume
- 19
- Issue
- 17
- Pages
- 3698
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC6749287
- OpenAlex
- W2969406974
- Cited by
- 30
- References
- 29
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 6 · 2020: 5
- FWCI
- 1.41
- 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
- Ministry of Science and Technology, Taiwan (MOST107-2221-E027-084-MY2)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- on-chip spectrometer, chip-scale sensors, wearable sensors, signal-to-noise ratio, blood pressure measurement, non-invasive vital sign monitoring
- MeSH terms
- Humans, Spectrum Analysis, Biosensing Techniques, Photoplethysmography, Lab-On-A-Chip Devices
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