ArticleDiagnostics (Basel, Switzerland)2018
Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database.
Article in Diagnostics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses 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.
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Who cites it
46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 127 citations in OpenAlex.
- Automated Detection of Hypertension Using Physiological Signals: A Review.International journal of environmental research and public health · 2021Pooled it
- Assessment of Hypertension Using Clinical Electrocardiogram Features: A First-Ever Review.Frontiers in medicine · 2020Pooled it
- Employing machine learning techniques for non-invasive blood pressure classification using photoplethysmography signals.Physical and engineering sciences in medicine · 2026Article
- Hypertension screening via awake-sleep differences in photoplethysmogram signals.European heart journal. Digital health · 2026Article
- Harmonic-Selective Gaussian Filtering for Morphology and Timing Preservation in PPG Signals.Sensors (Basel, Switzerland) · 2026Article
- Optical Biosensors-Principles of Operation and Applications.Micromachines · 2026Review
- Article
- Photoplethysmography Features Correlated with Blood Pressure Changes.Diagnostics (Basel, Switzerland) · 2024Review
- Inferring ECG Waveforms from PPG Signals with a Modified U-Net Neural Network.Sensors (Basel, Switzerland) · 2024Article
- Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment.Communications medicine · 2024Review
- Non-Invasive Heart Failure Evaluation Using Machine Learning Algorithms.Sensors (Basel, Switzerland) · 2024Article
- A continuous cuffless blood pressure measurement from optimal PPG characteristic features using machine learning algorithms.Heliyon · 2024Article
- Improved Hypertension Risk Assessment with Photoplethysmographic Recordings Combining Deep Learning and Calibration.Bioengineering (Basel, Switzerland) · 2023Article
- An Open-Source Graphical User Interface-Embedded Automated Electrocardiogram Quality Assessment: A Balanced Class Representation Approach.Diagnostics (Basel, Switzerland) · 2023Article
- Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram.Journal of biomedical physics & engineering · 2023Article
- Photoplethysmography Driven Hypertension Identification: A Pilot Study.Sensors (Basel, Switzerland) · 2023Article
- Wearable Continuous Blood Pressure Monitoring Devices Based on Pulse Wave Transit Time and Pulse Arrival Time: A Review.Materials (Basel, Switzerland) · 2023Review
- Evaluation of the effect of photoplethysmograms on workers' exposure to methyl bromide using second derivative.Frontiers in public health · 2023Article
- Blood pressure stratification using photoplethysmography and light gradient boosting machine.Frontiers in physiology · 2023Article
- Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges.Bioengineering (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Cardiovascular diseases (CVDs) have become the biggest threat to human health, and they are accelerated by hypertension. The best way to avoid the many complications of CVDs is to manage and prevent hypertension at an early stage. However, there are no symptoms at all for most types of hypertension, especially for prehypertension. The awareness and control rates of hypertension are extremely low. In this study, a novel hypertension management method based on arterial wave propagation theory and photoplethysmography (PPG) morphological theory was researched to explore the physiological changes in different blood pressure (BP) levels. Pulse Arrival Time (PAT) and photoplethysmogram (PPG) features were extracted from electrocardiogram (ECG) and PPG signals to represent the arterial wave propagation theory and PPG morphological theory, respectively. Three feature sets, one containing PAT only, one containing PPG features only, and one containing both PAT and PPG features, were used to classify the different BP categories, defined as normotension, prehypertension, and hypertension. PPG features were shown to classify BP categories more accurately than PAT. Furthermore, PAT and PPG combined features improved the BP classification performance. The F1 scores to classify normotension versus prehypertension reached 84.34%, the scores for normotension versus hypertension reached 94.84%, and the scores for normotension plus prehypertension versus hypertension reached 88.49%. This indicates that the simultaneous collection of ECG and PPG signals could detect hypertension.
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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.