ReviewNature reviews. Cardiology2025
Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation.
Review in Nature reviews. Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers, 1 of them a synthesis that pooled it.
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
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence in Cardiovascular Medicine: Focus on Hypertension.Hypertension (Dallas, Tex. : 1979) · 2026Pooled it
- DELTA: Strengthening human biological resilience with an N=1 digital health and dynamic biomarker protocol.PloS one · 2026Trial
- Clinical Readiness of Hemodynamic Estimation from Cardiac Vibration Signals: An Endpoint-Specific Critical Review.Annals of biomedical engineering · 2026Review
- Silicon-photonics optoacoustic sensor for fully wearable blood pressure monitoring.Nature communications · 2026Article
- Piezoionic copolymer ionogel with tunable hydrogen bond enables epidermal blood pressure analyzer.Science advances · 2026Article
- Freestanding Hierarchical-Porous BCZT Thin Films Enable Efficient Ultrasonic Energy Harvesting in Soft Tissue.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study.The Saudi dental journal · 2026Article
- A unified mechano-ionic skin for resolving native electromechanical coupling.Nature communications · 2026Article
- Structure-Controlled Cyclopentadithiophene Derived Non-Fullerene Acceptors for Efficient Near-Infrared Organic Photodetectors.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Arterial blood pressure waveform reconstruction estimation from PPG using TCN-BiLSTM.American heart journal plus : cardiology research and practice · 2026Article
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Root-inspired hierarchical hydrogel-electrode interface enables ultrasensitive sensing.Nature communications · 2026Article
- Gastrointestinal Bleeding Risk Associated With Pulse Pressure in Patients With Atrial Fibrillation: Retrospective Cohort Study.Journal of medical Internet research · 2026Article
- AI-driven tripartite classification for optimizing wearable bioelectronics in depression management.Science advances · 2026Article
- Towards trustworthy AI-driven cuffless blood pressure monitoring.NPJ digital medicine · 2026Article
- Tissue-bioelectronics interfaces.Chemical Society reviews · 2026Review
- Exploring the Use of Artificial Intelligence and Wearable Technologies in the Context of Cardiovascular Prevention From Early Detection to Cardiac Recovery: Protocol for a Scoping Review.JMIR research protocols · 2026Article
- Cuffless hemodynamic monitoring with physics-informed machine learning models.Nature communications · 2026Article
- Short-term prediction of COPD exacerbations based on wearable vital sign monitoring.PLOS digital health · 2026Article
- Biomimetic metamaterial-based interface for decoding heterogeneous mechanodermal activity.Science advances · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
Abstract
With advances in materials science and medical technology, wearable sensors have become crucial tools for the early diagnosis and continuous monitoring of numerous cardiovascular diseases, including arrhythmias, hypertension and coronary artery disease. These devices employ various sensing mechanisms, such as mechanoelectric, optoelectronic, ultrasonic and electrophysiological methods, to measure vital biosignals, including pulse rate, blood pressure and changes in heart rhythm. In this Review, we provide a comprehensive overview of the current state of wearable cardiovascular sensors, focusing particularly on those that measure blood pressure. We explore biosignal sensing principles, discuss blood pressure estimation methods (including machine learning algorithms) and summarize the latest advances in cuffless wearable blood pressure sensors. Finally, we highlight the challenges of and offer insights into potential pathways for the practical application of cuffless wearable blood pressure sensors in the medical field from both technical and clinical perspectives.
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.