Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring
Open accessAbstract
One in three adults worldwide has hypertension, which is associated with significant morbidity and mortality. Consequently, there is a global demand for continuous and non-invasive blood pressure (BP) measurements that are convenient, easy to use, and more accurate than the currently available methods for detecting hypertension. This could easily be achieved through the integration of single-site photoplethysmography (PPG) readings into wearable devices, although improved reliability and an understanding of BP estimation accuracy are essential. This review paper focuses on understanding the features of PPG associated with BP and examines the development of this technology over the 2010–2019 period in terms of validation, sample size, diversity of subjects, and datasets used. Challenges and opportunities to move single-site PPG forward are also discussed.
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The volume-clamp method is less suitable for use in wearable devices due to the need for a cuff.
“it is less suitable for use in wearable devices due to the need for a cuff”
From Wearable Photoplethysmography for Cardiovascular Monitoring (2022) · cites this paper as [19]
Many algorithms are known where systolic and diastolic BP are estimated from the shape of the PPG curve.
“Many algorithms are known where systolic and diastolic BP are estimated from the shape of the PPG curve [55,102].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [102]
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A Novel Cuffless Blood Pressure Prediction: Uncovering New Features and New Hybrid ML Models
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Blood Pressure Estimation Based on Photoplethysmography: Finger Versus Wrist
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Cuffless Blood Pressure Estimation Using Cardiovascular Dynamics
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Machine Learning-Based VO2 Estimation Using a Wearable Multiwavelength Photoplethysmography Device
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Digital health—high tech or high touch?
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Wearable photoplethysmography devices
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Temporal complexity in photoplethysmography and its influence on blood pressure
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Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction
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An ultralow power wearable vital sign sensor using an electromagnetically reactive near field
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Intra-beat biomarker for accurate continuous non-invasive blood pressure monitoring
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Photoplethysmography-based cuffless blood pressure estimation: an image encoding and fusion approach
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Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks
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Device design and data processing strategies for self-powered cardiovascular sensors
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Piezoelectric Nanofibers for Noninvasive Wearable Blood Pressure Monitoring
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Temperature-less-sensitive trans-impedance amplifier with background light cancellation loop
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Cuff-less blood pressure estimation using wrist photoplethysmography
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Cuffless Blood Pressure Monitoring Devices: Technical Foundations and Clinical Implications
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Camera-based blood pressure monitoring
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Design and Implementation of Low-Cost Blood grouping Prediction Using Machine Learning
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Cuffless BP Measurement Using Single Site Photoplethysmography
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- Authors
- Hosanee, M., Chan, G., Welykholowa, K., Cooper, R., Kyriacou, P. A., Zheng, D., Allen, J., Abbott, D., Menon, C., Lovell, N. H., Howard, N., Chan, W.-S., Lim, K., Fletcher, R., Ward, R., & Elgendi, M.
- Affiliations
- University of British Columbia (CA)
- City, University of London (GB)
- Coventry University (GB)
- Freeman Hospital (GB)
- The University of Adelaide (AU)
- Simon Fraser University (CA)
- UNSW Sydney (AU)
- University of Oxford (GB)
- University of Massachusetts Chan Medical School (US)
- Corresponding author
- Elgendi, Mohamed
- ORCID
- Venue
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- Published
- 2020-03-07
- Volume
- 9
- Issue
- 3
- Pages
- 723
- ISSN
- 2077-0383 (ISSN-L)
- PMC
- PMC7141397
- OpenAlex
- W3009202705
- Cited by
- 136
- References
- 36
- Citations by year
- 2026: 10 · 2025: 8 · 2024: 17 · 2023: 36 · 2022: 35 · 2021: 22 · 2020: 8
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Journal of Clinical Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure (Coventry University) (acceptedVersion, cc-by)
- City Research Online (City University London) (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by)
- eScholarship@UMassChan (submittedVersion, cc-by)
- Summit (Simon Fraser University) (submittedVersion)
- cIRcle (University of British Columbia) (submittedVersion, cc-by)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Summit (Simon Fraser University) (submittedVersion, cc-by)
- UNSWorks (UNSW Sydney) (submittedVersion, cc-by)
- Open Collections
- Funders
- Canada Research Chair (CRC)
- Natural Sciences and Engineering Research Council of Canada (RGPIN-2014-04462)
- 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
- cuffless blood pressure measurement, non-invasive blood pressure estimation, hypertension detection, wearable devices
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