ArticleSensors (Basel, Switzerland)2021
Cuffless Blood Pressure Measurement Using a Smartphone-Case Based ECG Monitor with Photoplethysmography in Hypertensive Patients.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters.World journal of cardiology · 2025Trial
- Effectiveness of the intelligent hypertension excellence centers (iHEC) therapy model in the blood pressure management of older hypertensive patients: a randomized controlled trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Trial
- Application of artificial intelligence in hypertension.Clinical hypertension · 2024Review
- Practical Application of a New Cuffless Blood Pressure Measurement Method.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023Article
- Your smartphone could act as a pulse-oximeter and as a single-lead ECG.Scientific reports · 2023Article
- Digital Transformation in the Diagnostics and Therapy of Cardiovascular Diseases: Comprehensive Literature Review.JMIR cardio · 2023Review
- A PPG-Based Calibration-Free Cuffless Blood Pressure Estimation Method Using Cardiovascular Dynamics.Sensors (Basel, Switzerland) · 2023Article
- Cuff-Less Blood Pressure Prediction Based on Photoplethysmography and Modified ResNet.Bioengineering (Basel, Switzerland) · 2023Article
- Reflex Auriculo-Cardiac (RAC) Induced by Auricular Laser and Needle Acupuncture: New Case Results Using a Smartphone.Life (Basel, Switzerland) · 2023Article
- Upper-Arm Photoplethysmographic Sensor with One-Time Calibration for Long-Term Blood Pressure Monitoring.Biosensors · 2023Article
- Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning.PloS one · 2023Article
- Classification of Blood Pressure Levels Based on Photoplethysmogram and Electrocardiogram Signals with a Concatenated Convolutional Neural Network.Diagnostics (Basel, Switzerland) · 2022Article
- Recent Advances in Non-Invasive Blood Pressure Monitoring and Prediction Using a Machine Learning Approach.Sensors (Basel, Switzerland) · 2022Review
- Comparability of a Blood-Pressure-Monitoring Smartphone Application with Conventional Measurements-A Pilot Study.Diagnostics (Basel, Switzerland) · 2022Article
- A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.Sensors (Basel, Switzerland) · 2022Article
- Assessment Parameters for Arrayed Pulse Wave Analysis and Application in Hypertensive Disorders.Evidence-based complementary and alternative medicine : eCAM · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The availability of simple, accurate, and affordable cuffless blood pressure (BP) devices has the potential to greatly increase the compliance with measurement recommendations and the utilization of BP measurements for BP telemonitoring. The aim of this study is to evaluate the correlation between findings from routine BP measurements using a conventional sphygmomanometer with the results from a portable ECG monitor combined with photoplethysmography (PPG) for pulse wave registration in patients with arterial hypertension.
methodsThe study included 500 patients aged 32-88 years (mean 64 ± 7.9 years). Mean values from three routine BP measurements by a sphygmomanometer with cuff were selected for comparison; within one minute after the last measurement, an electrocardiogram (ECG) was recorded for 3 min in the standard lead I using a smartphone-case based single-channel ECG monitor (CardioQVARK
resultsAccording to the Bland-Altman analysis, SD for systolic BP was 3.63, and bias was 0.32 for systolic BP. SD was 2.95 and bias was 0.61 for diastolic BP. The correlation between the results from the sphygmomanometer and the cuffless method was 0.89 (
conclusionBlood pressure measurements on a smartphone-case without a cuff are encouraging. However, further research is needed to improve the accuracy and reliability of clinical use in the majority of patients.
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