Artificial Intelligence-Enhanced Wearable Blood Pressure Monitoring in Resource-Limited Settings: A Co-Design of Sensors, Model, and Deployment
Chinese University of Hong Kong · Southwest University · +4 more institutions
Abstract
Accurate blood pressure (BP) monitoring is essential for preventing and managing cardiovascular disease. Advancements in materials science, medicine, flexible electronic, and artificial intelligence (AI) have enabled cuffless, unobtrusive BP monitoring systems, offering an alternative to traditional sphygmomanometers. However, extending these advances to real-world cardiovascular care particularly in resource-limited settings remains challenging due to constraints in computational resources, power efficiency, and deployment scalability. This review presents a comprehensive synthesis of AI-enhanced wearable BP monitoring, emphasizing its potential for personalized, scalable, and accessible healthcare. We…
Citation impact
- FWCI
- 41.32
- Percentile
- 100%
- References
- 175
Authors
12Topics & keywords
- Software deployment
- Wearable computer
- Wearable technology
- Bridge (graph theory)
- Remote patient monitoring
- Key (lock)
- Health care