ArticleScientific reports2018
Cuffless blood pressure estimation using only a smartphone.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 101 citations in OpenAlex.
- A Dual-Output Physiology-Informed Neural Network Architecture for Continuous Cuffless Blood Pressure Waveform Estimation: A Proof‑of‑Concept.Artery research · 2026Article
- Assessing the Efficacy of Various Machine Learning Algorithms in Predicting Blood Pressure Using Pulse Transit Time.Diagnostics (Basel, Switzerland) · 2025Article
- Recent Advances in the Wearable Devices for Monitoring and Management of Heart Failure.Reviews in cardiovascular medicine · 2024Review
- Application of artificial intelligence in hypertension.Clinical hypertension · 2024Review
- Smartphone-Based versus Non-Invasive Automatic Oscillometric Brachial Cuff Blood Pressure Measurements: A Prospective Method Comparison Volunteer Study.Journal of personalized medicine · 2023Article
- Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study.JMIR mHealth and uHealth · 2023Article
- Continuous cuffless blood pressure monitoring using photoplethysmography-based PPG2BP-net for high intrasubject blood pressure variations.Scientific reports · 2023Article
- Investigation of Optimal Light Source Wavelength for Cuffless Blood Pressure Estimation Using a Single Photoplethysmography Sensor.Sensors (Basel, Switzerland) · 2023Article
- Challenges Presented by Cuffless Measurement of Blood Pressure if Adopted for Diagnosis and Treatment of Hypertension.Pulse (Basel, Switzerland) · 2022Article
- Blood pressure estimation by spatial pulse-wave dynamics in a facial video.Biomedical optics express · 2022Article
- Blood Pressure Measurement: From Cuff-Based to Contactless Monitoring.Healthcare (Basel, Switzerland) · 2022Review
- Home blood pressure monitoring: a position statement from the Korean Society of Hypertension Home Blood Pressure Forum.Clinical hypertension · 2022Review
- Blood pressure measurement using only a smartphone.NPJ digital medicine · 2022Review
- A fusion approach to improve accuracy and estimate uncertainty in cuffless blood pressure monitoring.Scientific reports · 2022Article
- Comparability of a Blood-Pressure-Monitoring Smartphone Application with Conventional Measurements-A Pilot Study.Diagnostics (Basel, Switzerland) · 2022Article
- Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review.Healthcare (Basel, Switzerland) · 2022Review
- The Advent of Cuffless Mobile Device Blood Pressure Measurement: Remaining Challenges and Pitfalls.Korean circulation journal · 2022Review
- Cuffless Blood Pressure Measurement Using a Smartphone-Case Based ECG Monitor with Photoplethysmography in Hypertensive Patients.Sensors (Basel, Switzerland) · 2021Article
- Potential Applications of Mobile and Wearable Devices for Psychological Support During the COVID-19 Pandemic: A Review.IEEE sensors journal · 2021Article
- Smartphone / smartwatch-based cuffless blood pressure measurement : a position paper from the Korean Society of Hypertension.Clinical hypertension · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cuffless blood pressure (BP) measurement is an all-inclusive term for a method that aims to measure BP without using a cuff. Recent cuffless technology has made it possible to estimate BP with reasonable accuracy. However, mainstream methods require an electrocardiogram and photoplethysmogram measurements, and frequent calibration procedures using a cuff sphygmomanometer. We therefore developed a far simpler cuffless method, using only heart rate (HR) and modified normalized pulse volume (mNPV) that can be measured using a smartphone, based on the knowledge that ln BP = ln cardiac output (CO) + ln total peripheral resistance (TPR), where CO and TPR are correlated with HR and mNPV, respectively. Here, we show that mean arterial pressure (MAP), systolic BP (SBP), and diastolic BP (DBP) could be estimated using the exponential transformation of linear polynomial equation, (a × ln HR) + (b × ln mNPV) + constant, using only a smartphone, with an accuracy of R > 0.70. This implies that our cuffless method could convert a large number of smartphones or smart watches into simplified sphygmomanometers.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.