The DOI matches its Crossref record; 209 of the 212 references it cites were found in a registry or an index.
Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice
Open accessAbstract
Ubiquitous blood pressure (BP) monitoring is needed to improve hypertension detection and control and is becoming feasible due to recent technological advances such as in wearable sensing. Pulse transit time (PTT) represents a well-known potential approach for ubiquitous BP monitoring. The goal of this review is to facilitate the achievement of reliable ubiquitous BP monitoring via PTT. We explain the conventional BP measurement methods and their limitations; present models to summarize the theory of the PTT-BP relationship; outline the approach while pinpointing the key challenges; overview the previous work toward putting the theory to practice; make suggestions for best practice and future research; and discuss realistic expectations for the approach.
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“Models that require a single calibration cuff measurement are convenient but potentially less accurate than those that use multiple measurements to form a patient-specific calibration curve”
From Wearable Photoplethysmography for Cardiovascular Monitoring (2022) · cites this paper as [20]
In the citing paper
“Pulse wave propagation delay between the genders indicates baseline differences in arterial stiffness with women displaying lower degrees of pulse arrival latency delay indicating higher vascular stiffness [106,107].”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [106]
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“New devices that promise to change the current paradigm of hypertension monitoring use either inflating wristband cuffs (e.g., Omron HeartGuide, currently undergoing clinical testing) or optical pulse wave-based metrics of BP [75,76].”
From Wearables and the Medical Revolution (2018) · cites this paper as [76]
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Cites
A Real-Time QRS Detection Algorithm
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“A number of effective R-wave detection methods have been described, with the most popular being the Pan and Tomp-kins method [156].”
MethodExpert consensus document on arterial stiffness: methodological issues and clinical applications
Laurent, S., Cockcroft, J., Van Bortel, L., Boutouyrie, P., Giannattasio, C., Hayoz, D., Pannier, B., Vlachopoulos, C., Wilkinson, I., Struijker-Boudier, H., et al. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl254 · Cited by 6,077 · cited 2×
“…1) reliably estimate aortic PWV in order to assess cardiovascular risk independent of BP more conveniently than traditionally employed tonometry [126]; 2) track BP changes (rather than BP levels) to help control BP in patients with known hypertension; and 3) indicate whether BP levels are not…”
BackgroundMethodPhotoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967 · cited 3×
“The advantage of reflectance-mode PPG is that it is less restrictive in terms of measurement locations [66], [67], [69].”
BackgroundMethodBurt, V. L., Whelton, P., Roccella, E. J., Brown, C., Cutler, J. A., Higgins, M., Horan, M. J., & Labarthe, D. (1995) · Hypertension · doi:10.1161/01.hyp.25.3.305 · Cited by 2,998 · cited 1×
“Hypertension is a major cardiovascular risk factor that is treatable, yet high BP detection and control rates are abysmally low, especially in low resource settings [1], [2].”
BackgroundAnderson, R. R., & Parrish, J. A. (1981) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12479191 · Cited by 2,456 · cited 1×
“Infrared (IR) and red optical wavelengths should be used for transmission-mode PPG due to the “optical water window” [66] and higher tissue penetration depth [66], [67], [74].”
MethodLakatta, E. G., & Levy, D. (2003) · Circulation · doi:10.1161/01.cir.0000048892.83521.58 · Cited by 2,244 · cited 1×
“We similarly hypothesized the model from reviews [24], [25], in vitro animal studies [32], [34], an in vivo animal study [35], an in vitro human study [36], and an in vivo human study [33].”
The Reference Values for Arterial Stiffness' Collaboration (2010) · European Heart Journal · doi:10.1093/eurheartj/ehq165 · Cited by 2,085
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“Flexible strain or pressure sensors placed over a superficial artery can measure waveforms indicative of BP via the tonometric principle [109]–[112].”
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Flagged first, then by citations
3 of the 212 references couldn’t be matched to a known paper.
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Cited by
Sorted by citations
Monitoring of the central blood pressure waveform via a conformal ultrasonic device
Wang, C., Li, X., Hu, H., Zhang, L., Huang, Z., Lin, M., Zhang, Z., Yin, Z., Huang, B., Gong, H., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0287-x · Cited by 895
Wearables and the Medical Revolution
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“, Omron HeartGuide, currently undergoing clinical testing) or optical pulse wave-based metrics of BP [75,76].”
Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
Kachuee, M., Kiani, M. M., Mohammadzade, H., & Shabany, M. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2580904 · Cited by 621
“where P0 , P1 , and Am are varying among individuals [7].”
BackgroundMethodInfluentialBlood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
Slapničar, G., Mlakar, N., & Luštrek, M. (2019) · Sensors · doi:10.3390/s19153420 · Cited by 387
“The PTT approach was thoroughly tested in the past 10 years [15,16] and a number of slight variations were proposed, however, the underlying principle remains unchanged.”
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Metadata
- Authors
- Mukkamala, R., Hahn, J.-O., Inan, O. T., Mestha, L. K., Kim, C.-S., Toreyin, H., & Kyal, S.
- Affiliations
- Michigan State University (US)
- University of Maryland, College Park (US)
- Georgia Institute of Technology (US)
- Palo Alto Research Center (US)
- Corresponding author
- Mukkamala, Ramakrishna
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2015-08
- Volume
- 62
- Issue
- 8
- Pages
- 1879-1901
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- PMC
- PMC4515215
- OpenAlex
- W2294418644
- Cited by
- 935
- References
- 212
- Citations by year
- 2026: 92 · 2025: 93 · 2024: 96 · 2023: 89 · 2022: 93 · 2021: 87 · 2020: 84 · 2019: 92 · 2018: 83 · 2017: 71 · 2016: 50 · 2015: 4
- FWCI
- 34.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- IEEE Transactions on Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Biomedical Imaging and Bioengineering
- National Institutes of Health (U01 EB018818)
- 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 › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Keywords
- blood pressure monitoring, pulse transit time, ubiquitous health monitoring, wearable sensors, hypertension detection, non-invasive blood pressure estimation
- MeSH terms
- Blood Pressure, Blood Pressure Determination, Clothing, Equipment Design, Humans, Signal Processing, Computer-Assisted, Pulse Wave Analysis
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