ArticleScientific data2018
A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation.IEEE transactions on bio-medical engineering · 2024Pooled it
- A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG).Journal of cardiovascular translational research · 2024Pooled it
- Diabetes Detection and Management through Photoplethysmographic and Electrocardiographic Signals Analysis: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Towards trustworthy AI-driven cuffless blood pressure monitoring.NPJ digital medicine · 2026Article
- Machine Learning Insights into Age-Related Sex Differences in Blood Pressure: Influence of Diabetes and Body Mass Index.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026Article
- Non-Invasive Blood Pressure Estimation Enhanced by Capillary Refill Time Modulation of PPG Signals.Sensors (Basel, Switzerland) · 2026Article
- Photoplethysmography acceleration indices as digital biomarkers of cardiometabolic health.Frontiers in digital health · 2026Article
- Hardware Accelerators for Cardiovascular Signal Processing: A System-on-Chip Perspective.Micromachines · 2025Article
- A multiwavelength photoplethysmography dataset with blood pressure and heart rate reference measurements.Data in brief · 2025Article
- [Research on type 2 diabetes prediction algorithm based on photoplethysmography].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- Speckle contrast optical spectroscopy for cuffless blood pressure estimation based on microvascular blood flow and volume oscillations.Biomedical optics express · 2025Article
- Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal Features.Sensors (Basel, Switzerland) · 2025Article
- Structure function in photoplethysmographic signal dynamics for physiological assessment.Scientific reports · 2025Article
- Article
- Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan.BMJ health & care informatics · 2024Article
- Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors.JMIR mHealth and uHealth · 2024Article
- pyPPG: a Python toolbox for comprehensive photoplethysmography signal analysis.Physiological measurement · 2024Article
- Robust arterial compliance estimation with Katz's fractal dimension of photoplethysmography.Frontiers in physiology · 2024Article
- Photoplethysmography for Assessing Microcirculation in Hypertensive Patients After Taking Antihypertensive Drugs: A Review.Journal of multidisciplinary healthcare · 2024Review
- Your smartphone could act as a pulse-oximeter and as a single-lead ECG.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Open clinical trial data provide a valuable opportunity for researchers worldwide to assess new hypotheses, validate published results, and collaborate for scientific advances in medical research. Here, we present a health dataset for the non-invasive detection of cardiovascular disease (CVD), containing 657 data segments from 219 subjects. The dataset covers an age range of 20-89 years and records of diseases including hypertension and diabetes. Data acquisition was carried out under the control of standard experimental conditions and specifications. This dataset can be used to carry out the study of photoplethysmograph (PPG) signal quality evaluation and to explore the intrinsic relationship between the PPG waveform and cardiovascular disease to discover and evaluate latent characteristic information contained in PPG signals. These data can also be used to study early and noninvasive screening of common CVD such as hypertension and other related CVD diseases such as diabetes.
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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.