ArticleMicrosystems & nanoengineering2023
A new method of continuous blood pressure monitoring using multichannel sensing signals on the wrist.
Article in Microsystems & nanoengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Employing machine learning techniques for non-invasive blood pressure classification using photoplethysmography signals.Physical and engineering sciences in medicine · 2026Article
- Wearable Electronics for Precision Diagnosis Through Advanced Manufacturing and Integration.Nano-micro letters · 2026Review
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Feasibility of Zero-Dimensional-Model-Based Pulse Waveform Analysis as a Tool to Detect Ascending Thoracic Aortic Aneurysm Growth.Journal of biomechanical engineering · 2026Article
- Advancements and challenges in blood pressure monitoring using pulse wave propagation: a comprehensive review and ISO 81060-2 based statistical analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Review
- Seamless Human-Computer Interaction Enabled by Wearable Biointerfaces and Intelligent Systems.Biomimetics (Basel, Switzerland) · 2026Review
- From Cuffs to Code: Machine Learning in Non-Invasive Blood Pressure Monitoring.Anaesthesia, critical care & pain medicine · 2026Review
- Precision cardiovascular medicine with big data and AI.NPJ digital medicine · 2026Review
- Non-Invasive Blood Pressure Estimation Enhanced by Capillary Refill Time Modulation of PPG Signals.Sensors (Basel, Switzerland) · 2026Article
- Optical methods for cuffless blood pressure measurements.Biophotonics discovery · 2026Review
- Continuous dynamic microforce reconstruction using electrical stimulation for remote pulse diagnosis.Fundamental research · 2025Article
- Tactile-Transparent Wearable Sensor for Clinician-Friendly Pulse Wave Velocity Monitoring and Cardiovascular Risk Profiling.ACS nano · 2025Article
- Noninvasive On-Skin Biosensors for Monitoring Diabetes Mellitus.Nano-micro letters · 2025Review
- Application of Carbon Nanotube-Based Elastomeric Matrix for Capacitive Sensing in Diabetic Foot Orthotics.Micromachines · 2025Article
- A Novel Wearable Device for Continuous Blood Pressure Monitoring Utilizing Strain Gauge Technology.Biosensors · 2025Article
- Mechanical Compatibility in Stitch Configuration and Sensor Adhesion for High-Fidelity Pulse Wave Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Blunted Blood Pressure Dipping During Night Shift Work: Does It Matter? Can We Intervene?American journal of industrial medicine · 2025Article
- The Potential of Wearable Sensors for Detecting Cognitive Rumination: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Transforming Healthcare: The AI Revolution in the Comprehensive Care of Hypertension.Clinics and practice · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypertension is a worldwide health problem and a primary risk factor for cardiovascular disease. Continuous monitoring of blood pressure has important clinical value for the early diagnosis and prevention of cardiovascular disease. However, existing technologies for wearable continuous blood pressure monitoring are usually inaccurate, rely on subject-specific calibration and have poor generalization across individuals, which limit their practical applications. Here, we report a new blood pressure measurement method and develop an associated wearable device to implement continuous blood pressure monitoring for new subjects. The wearable device detects cardiac output and pulse waveform features through dual photoplethysmography (PPG) sensors worn on the palmar and dorsal sides of the wrist, incorporating custom-made interface sensors to detect the wearing contact pressure and skin temperature. The detected multichannel signals are fused using a machine-learning algorithm to estimate continuous blood pressure in real time. This dual PPG sensing method effectively eliminates the personal differences in PPG signals caused by different people and different wearing conditions. The proposed wearable device enables continuous blood pressure monitoring with good generalizability across individuals and demonstrates promising potential in personal health care applications.
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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.