Adaptive blood pressure estimation from wearable PPG sensors using peripheral artery pulse wave velocity measurements and multi-channel blind identification of local arterial dynamics
Abstract
A method for estimating pulse wave velocity (PWV) using circulatory waveform signals derived from multiple photoplethysmograph (PPG) sensors is described. The method employs two wearable in-line PPG sensors placed at a known distance from one another at the ulnar and digital artery. A technique for calibrating the measured pulse wave velocity to arterial blood pressure using hydrostatic pressure variation is presented. Additionally, a framework is described for estimating local arterial dynamics using PPG waveforms and multi-channel blind system ID. Initial results implementing the method on data derived from a human subject at different arterial pressures is presented. Results show that the method is capable of measuring the changes in arterial PWV that result from fluctuations in mean arterial pressure.
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Most studies of other variables for cuff-less BP measurement are limited by small sample sizes and a lack of external validation.
“Several other variables have been considered to measure cuff-less BP such as pulse wave velocity and propagation in combination with deep learning algorithms; however, most of the studies are limited by small sample sizes and a lack of external validation29.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [29]
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Wearable Sensors for Remote Health Monitoring
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- Authors
- McCombie, D. B., Reisner, A. T., & Asada, H. H.
- Affiliations
- Massachusetts Institute of Technology (US)
- Massachusetts General Hospital (US)
- Venue
- 2006 International Conference of the IEEE Engineering in Medicine and Biology Society
- Publisher
- IEEE
- Published
- 2006-08
- Volume
- 2006
- Pages
- 3521-3524
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2124909584
- Cited by
- 118
- References
- 9
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 8 · 2023: 7 · 2022: 10 · 2021: 12 · 2020: 4 · 2019: 9 · 2018: 13 · 2017: 11 · 2016: 3 · 2015: 6 · 2014: 7 · 2013: 7 · 2012: 1
- FWCI
- 5.38
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Keywords
- blood pressure estimation, pulse wave velocity, photoplethysmography, wearable sensors, peripheral arteries, mean arterial pressure
- MeSH terms
- Arteries, Biomedical Engineering, Blood Pressure, Equipment Design, Hemodynamics, Humans, Hypertension, Models, Cardiovascular, Signal Processing, Computer-Assisted, Models, Statistical, Photoplethysmography, Ulnar Artery, Blood Pressure Monitoring, Ambulatory
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