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Abstract
Chronic diseases require uninterrupted monitoring to reduce health risks and ensure timely medical intervention. This paper introduces a novel wearable vest system that integrates AI, IoT, blockchain, and hybrid energy harvesting to create a secure and sustainable healthcare monitoring solution. The vest is equipped with biomedical sensors that capture physiological signals such as heart rate, body temperature, SpO₂, and motion activity every five minutes. Data packets are encrypted and transmitted to a cloud server, where hashed digests are stored on a private blockchain for immutability and controlled access. A Random Forest classifier evaluates the data stream, distinguishing between normal and abnormal patient states. Upon detecting anomalies, the system initiates a three-stage alert workflow: (1) self-alert to the patient, (2) caregiver notification, and (3) escalation to medical professionals with GPS-based location sharing.
To ensure uninterrupted operation, the vest employs a hybrid power supply comprising a thermoelectric generator (TEG) that harvests body heat and a rechargeable Li-ion battery managed by a power management unit (PMU). Simulation and prototype testing demonstrate high accuracy of anomaly detection (~92%), reduced emergency response delays (~45%), and an energy efficiency improvement of ~35% compared to battery-only wearables. This integration of AI-driven anomaly detection, blockchain-based data integrity, and sustainable power harvesting offers a unique step toward next-generation secure and reliable smart healthcare systems.
Keywords:
AIoT, Blockchain Healthcare, Wearable Sensors, Random Forest, Chronic Disease Monitoring, Energy Harvesting, Hybrid Power, Multilevel Alerts
Cite Article:
"A IoT-Enabled Blockchain-Secured Wearable Vest for Chronic Disease Monitoring with Sustainable Hybrid Power", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 10, page no.a502-a505, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510047.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator