ArticleIEEE transactions on bio-medical engineering2022
Photoplethysmography Fast Upstroke Time Intervals Can Be Useful Features for Cuff-Less Measurement of Blood Pressure Changes in Humans.
Article in IEEE transactions on bio-medical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation.IEEE transactions on bio-medical engineering · 2024Pooled it
- From PPG to Blood Pressure at the Edge: Quantization-Aware Architecture Selection and On-MCU Validation.Sensors (Basel, Switzerland) · 2026Article
- Blood Pressure Estimation Through Pulse Wave Analysis Using Features Extracted from Carotid Diameter Distension Waveforms.Biosensors · 2026Article
- Multi class photoplethysmography-based deep model for cardiovascular disease classification.PloS one · 2026Article
- Multi-Signal Acquisition System for Continuous Blood Pressure Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Non-invasive blood pressure monitoring with in-ear infrasonic hemodynography for preventative cardiovascular care.NPJ cardiovascular health · 2025Article
- Accurate Cardiac Duration Detection for Remote Blood Pressure Estimation Using mm-Wave Doppler Radar.Sensors (Basel, Switzerland) · 2025Article
- The 2023 wearable photoplethysmography roadmap.Physiological measurement · 2023Review
- Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method: Analysis of Oscillation Width Variations Can Improve Diastolic Pressure Computation.IEEE transactions on bio-medical engineering · 2023Article
- Continuous cuffless blood pressure monitoring using photoplethysmography-based PPG2BP-net for high intrasubject blood pressure variations.Scientific reports · 2023Article
- Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring.NPJ digital medicine · 2023Review
- A Multi-Parameter Fusion Method for Cuffless Continuous Blood Pressure Estimation Based on Electrocardiogram and Photoplethysmogram.Micromachines · 2023Article
- The Microsoft Research Aurora Project: Important Findings on Cuffless Blood Pressure Measurement.Hypertension (Dallas, Tex. : 1979) · 2023Review
- Features from the photoplethysmogram and the electrocardiogram for estimating changes in blood pressure.Scientific reports · 2023Article
- Photoplethysmography upon cold stress-impact of measurement site and acquisition mode.Frontiers in physiology · 2023Article
- Abdominal aortic aneurysm monitoring via arterial waveform analysis: towards a convenient point-of-care device.NPJ digital medicine · 2022Article
- Multiparametric cloth-based wearable, SimpleSense, estimates blood pressure.Scientific reports · 2022Article
- Assessment of Calibration Models for Cuff-Less Blood Pressure Measurement After One Year of Aging.IEEE transactions on bio-medical engineering · 2022Article
- Evaluation of the Accuracy of Cuffless Blood Pressure Measurement Devices: Challenges and Proposals.Hypertension (Dallas, Tex. : 1979) · 2021Review
Corrections and comments
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Authors and funding
8 authors at 7 institutions in 1 country.
Funding
Abstract
objectivePhotoplethysmography (PPG) waveform analysis is being increasingly investigated for continuous, non-invasive, and cuff-less blood pressure (BP) measurement. However, the efficacy of this approach and the useful features and models remain largely unclear. The objectives were to develop easy-to-understand models relating PPG waveform features to BP changes (after a cuff calibration) and to determine their value in BP measurement accuracy.
methodsThe study data comprised finger, toe, and ear PPG waveforms, an ECG waveform, and reference manual cuff BP measurements from 32 human subjects (25% hypertensive) before and after slow breathing, mental arithmetic, cold pressor, and nitroglycerin administration. Stepwise linear regression was employed to create parsimonious models for predicting the intervention-induced BP changes from popular PPG waveform features, pulse arrival time (PAT, time delay between ECG R-wave and PPG foot), and subject demographics. Leave-one-subject-out cross validation was applied to compare the BP change prediction root-mean-squared-errors (RMSEs) of the resulting models to reference models in which PPG waveform features were excluded.
resultsFinger b-time (PPG foot to minimum second derivative time interval) and ear "STT" (PPG amplitude divided by maximum derivative), when combined with PAT, reduced the systolic BP change prediction RMSE of reference models by 6-7% (p 0.022). Ear STT together with pulse width reduced the diastolic BP change prediction RMSE of the reference model by 13% (p = 0.003).
conclusionThe two PPG fast upstroke time intervals can offer some added value in cuff-less BP trending. SIGNIFICANCE: This study offers important information towards achieving non-invasive and passive BP monitoring without a cuff.
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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.