ReviewSensors (Basel, Switzerland)2022
A Review of Noninvasive Methodologies to Estimate the Blood Pressure Waveform.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Advancements and challenges in blood pressure monitoring using pulse wave propagation: a comprehensive review and ISO 81060-2 based statistical analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Review
- Less-Invasive Hemodynamic and Tissue Perfusion Monitoring in Sepsis and Septic Shock: A Narrative Review.Journal of clinical medicine · 2026Review
- ArterialNet: Reconstructing Arterial Blood Pressure Waveform With Wearable Pulsatile Signals, a Cohort-Aware Approach.IEEE open journal of engineering in medicine and biology · 2026Article
- End-tidal CO2 changes as predictors of significant blood pressure variations during general anesthesia.BMC anesthesiology · 2025Observational
- Continuous noninvasive blood pressure estimation using tissue blood flow measured by diffuse correlation spectroscopy.APL bioengineering · 2025Article
- Lead-Free Potassium Sodium Niobate-Based Wearable Ultrasonic Patches for Blood Pressure Detection.Micromachines · 2025Article
- A finger on the pulse of cardiovascular health: estimating blood pressure with smartphone photoplethysmography-based pulse waveform analysis.Biomedical engineering online · 2025Article
- AI for the hemodynamic assessment of critically ill and surgical patients: focus on clinical applications.Annals of intensive care · 2025Review
- A review of machine learning methods for non-invasive blood pressure estimation.Journal of clinical monitoring and computing · 2025Review
- Feature extraction tool using temporal landmarks in arterial blood pressure and photoplethysmography waveforms.NPJ cardiovascular health · 2025Article
- Replication of Radial Pulses Using Magneto-Rheological Fluids.Micromachines · 2024Article
- Flexible Ultrasonic Transducers for Wearable Biomedical Applications: A Review on Advanced Materials, Structural Designs, and Future Prospects.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Review
- Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload.Sensors (Basel, Switzerland) · 2024Article
- Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications.IEEE open journal of engineering in medicine and biology · 2024Article
- Lean body mass positively associate with blood pressure in Chinese adults: the roles of ages and body fat distribution.BMC public health · 2023Article
- Towards Ultrasound Imaging-based Closed-loop Peripheral Nerve Stimulation for Tremor Suppression.Current opinion in biomedical engineering · 2023Article
- Continuous Blood Pressure Monitoring in Patients Having Surgery: A Narrative Review.Medicina (Kaunas, Lithuania) · 2023Review
- Decision Support System Proposal for Medical Evacuations in Military Operations.Sensors (Basel, Switzerland) · 2023Article
- Intraoperative Beat-to-Beat Pulse Transit Time (PTT) Monitoring via Non-Invasive Piezoelectric/Piezocapacitive Peripheral Sensors Can Predict Changes in Invasively Acquired Blood Pressure in High-Risk Surgical Patients.Sensors (Basel, Switzerland) · 2023Article
- Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges.Bioengineering (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Accurate estimation of blood pressure (BP) waveforms is critical for ensuring the safety and proper care of patients in intensive care units (ICUs) and for intraoperative hemodynamic monitoring. Normal cuff-based BP measurements can only provide systolic blood pressure (SBP) and diastolic blood pressure (DBP). Alternatively, the BP waveform can be used to estimate a variety of other physiological parameters and provides additional information about the patient's health. As a result, various techniques are being proposed for accurately estimating the BP waveforms. The purpose of this review is to summarize the current state of knowledge regarding the BP waveform, three methodologies (pressure-based, ultrasound-based, and deep-learning-based) used in noninvasive BP waveform estimation research and the feasibility of employing these strategies at home as well as in ICUs. Additionally, this article will discuss the physical concepts underlying both invasive and noninvasive BP waveform measurements. We will review historical BP waveform measurements, standard clinical procedures, and more recent innovations in noninvasive BP waveform monitoring. Although the technique has not been validated, it is expected that precise, noninvasive BP waveform estimation will be available in the near future due to its enormous potential.
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What Socratic holds
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 Socratic graph.