ArticleScientific reports2020
Blood pressure measurements with the OptiBP smartphone app validated against reference auscultatory measurements.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05725148 (Prospective, Single-center, Single Group, Pivotal Clinical Trial to Evaluate the Blood Pressure Accuracy of 'CART-I Plus' Compared to the Reference Blood Pressure Reading With an Auscultatory Sphygmomanometer), which is not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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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.
Prospective, Single-center, Single Group, Pivotal Clinical Trial to Evaluate the Blood Pressure Accuracy of 'CART-I Plus' Compared to the Reference Blood Pressure Reading With an Auscultatory Sphygmomanometer
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.
- Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation.IEEE transactions on bio-medical engineering · 2024Pooled it
- Cuffless Blood Pressure Measurement: Where Do We Actually Stand?Hypertension (Dallas, Tex. : 1979) · 2025Review
- Clinical validation of a wearable ultrasound sensor of blood pressure.Nature biomedical engineering · 2025Article
- Accuracy of the smartphone blood pressure measurement solution OptiBP to track blood pressure changes in pregnant women.Journal of hypertension · 2025Article
- Health workers' perspectives on self-monitoring of blood pressure by pregnant women: a qualitative study among community health workers, midwives, doctors and health system managers in Lombok, Indonesia.BMJ global health · 2025Article
- Multi-point sensing organic light-emitting diode display based mobile cardiovascular monitor.Nature communications · 2025Article
- "I believe it when there is an expert next to me:" a qualitative analysis on the perceptions and experiences of pregnant women to self-monitor blood pressure in Lombok, Indonesia.BMC pregnancy and childbirth · 2025Article
- A review of machine learning methods for non-invasive blood pressure estimation.Journal of clinical monitoring and computing · 2025Review
- Oscillometric blood pressure measurements on smartphones using vibrometric force estimation.Scientific reports · 2024Article
- Path analysis model to identify the effect of poor diet quality on NAFLD among Iranian adults from Amol Cohort Study.Scientific reports · 2024Article
- First-in-Human Study for Evaluating the Accuracy of Smart Ring Based Cuffless Blood Pressure Measurement.Journal of Korean medical science · 2024Article
- A prototype photoplethysmography-based cuffless device shows promising results in tracking changes in blood pressure.Frontiers in medical technology · 2024Article
- Smartphone-Based versus Non-Invasive Automatic Oscillometric Brachial Cuff Blood Pressure Measurements: A Prospective Method Comparison Volunteer Study.Journal of personalized medicine · 2023Article
- Article
- Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study.JMIR mHealth and uHealth · 2023Article
- Ultra-low-cost mechanical smartphone attachment for no-calibration blood pressure measurement.Scientific reports · 2023Article
- Accuracy of a smartphone application for blood pressure estimation in Bangladesh, South Africa, and Tanzania.NPJ digital medicine · 2023Article
- Method-comparison study between a watch-like sensor and a cuff-based device for 24-h ambulatory blood pressure monitoring.Scientific reports · 2023Article
- Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges.Bioengineering (Basel, Switzerland) · 2022Review
- Real-Time Cuffless Continuous Blood Pressure Estimation Using 1D Squeeze U-Net Model: A Progress toward mHealth.Biosensors · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mobile health diagnostics have been shown to be effective and scalable for chronic disease detection and management. By maximizing the smartphones' optics and computational power, they could allow assessment of physiological information from the morphology of pulse waves and thus estimate cuffless blood pressure (BP). We trained the parameters of an existing pulse wave analysis algorithm (oBPM), previously validated in anaesthesia on pulse oximeter signals, by collecting optical signals from 51 patients fingertips via a smartphone while simultaneously acquiring BP measurements through an arterial catheter. We then compared smartphone-based measurements obtained on 50 participants in an ambulatory setting via the OptiBP app against simultaneously acquired auscultatory systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean blood pressure (MBP) measurements. Patients were normotensive (70.0% for SBP versus 61.4% for DBP), hypertensive (17.1% vs. 13.6%) or hypotensive (12.9% vs. 25.0%). The difference in BP (mean ± standard deviation) between both methods were within the ISO 81,060-2:2018 standard for SBP (- 0.7 ± 7.7 mmHg), DBP (- 0.4 ± 4.5 mmHg) and MBP (- 0.6 ± 5.2 mmHg). These results demonstrate that BP can be measured with accuracy at the finger using the OptiBP smartphone app. This may become an important tool to detect hypertension in various settings, for example in low-income countries, where the availability of smartphones is high but access to health care is low.
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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.