Smart Health Monitoring and Anomaly Detection using Internet of Things (IoT) and Artificial Intelligence (AI)

被引：0

作者：

Jayant, Prabu ^{[1
]}

Vincent, Elvis ^{[1
]}

Mohana ^{[1
]}

Moharir, Minal ^{[1
]}

Kumar, Ashok A. R. ^{[1
]}

机构：

[1] RV Coll Engn, Comp Sci & Engn Cyber Secur, Bengaluru, India

来源：

2024 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT CYBER PHYSICAL SYSTEMS AND INTERNET OF THINGS, ICOICI 2024 | 2024年

关键词：

Health Monitoring System (HMS); Internet of Things (IoT); Artificial Intelligence (AI); Machine learning (ML); Remote Health Management; Predictive Analytics;

D O I：

10.1109/ICOICI62503.2024.10696283

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Smart health monitoring systems, powered by AI and IoT, are transforming healthcare by enabling continuous, real-time patient monitoring. In India, where lapses in health monitoring contribute to 20% of premature deaths, our innovative solution addresses this urgent need. Designed specifically for elderly care, the system integrates advanced technology for health monitoring and medication management. It continuously tracks vital signs like heart rate, ECG, and temperature, sending immediate alerts to caregivers and medical professionals upon detecting abnormalities. This proactive approach not only enhances patient care and response times but also supports preventative care, ensuring timely interventions. With its comprehensive monitoring and user-friendly interface, the system is crucial for improving elderly healthcare.

引用

页码：479 / 485

页数：7

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