ArticleIEEE transactions on bio-medical engineering2018
Real-Time Blood Pressure Estimation From Force-Measured Ultrasound.
Article in IEEE transactions on bio-medical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What Ranges of Probe Pressure Are Applied During Ultrasound Examinations? A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- AI-driven carotid artery compressibility assessment via point-of-care ultrasound for blood pressure estimation in critically ill and post-resuscitation patients: a prospective observational study.Critical care (London, England) · 2025Observational
- Skin-adaptive focused flexible micromachined ultrasound transducers for wearable cardiovascular health monitoring.Science advances · 2025Article
- Article
- Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload.Sensors (Basel, Switzerland) · 2024Article
- Contact pressure-guided wearable dual-channel bioimpedance device for continuous hemodynamic monitoring.Advanced materials technologies · 2024Article
- Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges.Bioengineering (Basel, Switzerland) · 2022Review
- Recent Advances in Non-Invasive Blood Pressure Monitoring and Prediction Using a Machine Learning Approach.Sensors (Basel, Switzerland) · 2022Review
- Real-Time Cuffless Continuous Blood Pressure Estimation Using 1D Squeeze U-Net Model: A Progress toward mHealth.Biosensors · 2022Article
- A Review of Noninvasive Methodologies to Estimate the Blood Pressure Waveform.Sensors (Basel, Switzerland) · 2022Review
- Measurement of Blood Pressure by Ultrasound-The Applicability of Devices, Algorithms and a View in Local Hemodynamics.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveOur objective is to create a blood pressure measurement device, which may provide a way to easily acquire frequent measurements. Common techniques to measure blood pressure include an arterial catheter, an oscillometric pressure cuff, or an auscultatory pressure cuff.
methodsThe approach takes as input ultrasound images of an artery and contact force between the ultrasound array and subject. A subject may perform the self-measurements. Image and force data is analyzed for its quality and used to provide guidance or reject poor measurements. Tissue motions, due to probe contact forces and pulsing blood pressure, are estimated from the ultrasound image. Tissues elasticities and blood pressure are found by optimally fitting the observed tissue motion versus applied forces to a table of predicted motion-pre-generated with a finite element tissue deformation model. The output of the optimization is an estimate of systolic and diastolic blood pressure, arterial stiffness, and surrounding tissue stiffness.
resultsThe real-time implementation of the algorithm was validated on a cohort of 21 single-visit volunteers and on four volunteers self-monitored longitudinally. The systolic and diastolic pressures were compared to oscillometric cuff readings. Regression and Bland-Altman analyses were performed.
conclusionSystolic pressure and diastolic pressure can be estimated in real-time and by the subject using this novel non-invasive ultrasound-based method (systolic accuracy/precision: -5.2 mmHg/10.7 mmHg; diastolic accuracy/precision: -3.9/8.0 mmHg). SIGNIFICANCE: The method occupies a middle ground between the arterial catheter and cuff-based techniques. It has the potential to give calibration-free results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.