ArticleIEEE transactions on bio-medical engineering2023
Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method: Analysis of Oscillation Width Variations Can Improve Diastolic Pressure Computation.
Article in IEEE transactions on bio-medical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation.IEEE transactions on bio-medical engineering · 2024Pooled it
- A Center-of-Pressure Guided Finger-Press Sensor for Cuffless Blood Pressure Estimation.Sensors (Basel, Switzerland) · 2026Article
- Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method: Investigation of the DC Component of PPG.IEEE transactions on bio-medical engineering · 2026Article
- A Dual-Output Physiology-Informed Neural Network Architecture for Continuous Cuffless Blood Pressure Waveform Estimation: A Proof‑of‑Concept.Artery research · 2026Article
- A conformal piezoelectric microsystem for demographic-adaptive and calibration-free cuffless blood pressure monitoring.Nature communications · 2025Article
- Cuffless Blood Pressure Measurement: Where Do We Actually Stand?Hypertension (Dallas, Tex. : 1979) · 2025Review
- Oscillometric blood pressure measurement: modeling and analysis of the area oscillogram and height oscillogram.Frontiers in physiology · 2025Article
- AI-Driven fetal distress monitoring SDN-IoMT networks.PloS one · 2025Article
- New device for assessing the toe-brachial index and a pilot cross-sectional study in diabetic patients.Jornal vascular brasileiro · 2025Article
- Photoplethysmography Features Correlated with Blood Pressure Changes.Diagnostics (Basel, Switzerland) · 2024Review
- Nonlinear Viscoelastic Modeling of Finger Arteries: Toward Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method.IEEE transactions on bio-medical engineering · 2024Article
- A smartphone application toward detection of systolic hypertension in underserved populations.Scientific reports · 2024Article
- Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload.Sensors (Basel, Switzerland) · 2024Article
- History and evolution of blood pressure measurement.Clinical hypertension · 2024Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveOscillometric finger pressing is a potential method for absolute blood pressure (BP) monitoring via a smartphone. The user presses their fingertip against a photoplethysmography-force sensor unit on a smartphone to steadily increase the external pressure on the underlying artery. Meanwhile, the phone guides the finger pressing and computes systolic BP (SP) and diastolic BP (DP) from the measured blood volume oscillations and finger pressure. The objective was to develop and evaluate reliable finger oscillometric BP computation algorithms.
methodsThe collapsibility of thin finger arteries was exploited in an oscillometric model to develop simple algorithms for computing BP from the finger pressing measurements. These algorithms extract features from "width" oscillograms (oscillation width versus finger pressure functions) and the conventional "height" oscillogram for markers of DP and SP. Finger pressing measurements were obtained using a custom system along with reference arm cuff BP measurements from 22 subjects. Measurements were also obtained during BP interventions in some subjects for 34 total measurements.
resultsAn algorithm employing the average of width and height oscillogram features predicted DP with correlation of 0.86 and precision error of 8.6 mmHg with respect to the reference measurements. Analysis of arm oscillometric cuff pressure waveforms from an existing patient database provided evidence that the width oscillogram features are better suited to finger oscillometry.
conclusionAnalysis of oscillation width variations during finger pressing can improve DP computation. SIGNIFICANCE: The study findings may help in converting widely available devices into truly cuffless BP monitors for improving hypertension awareness and control.
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