Personalized Health Monitoring Systems: Integrating Wearable and AI

Secara, Ion-Alexandru and Hordiiuk, Dariia (2024) Personalized Health Monitoring Systems: Integrating Wearable and AI. Journal of Intelligent Learning Systems and Applications, 16 (02). pp. 44-52. ISSN 2150-8402

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Abstract

The integration of wearable technologies and artificial intelligence (AI) has revolutionized healthcare, enabling advanced personal health monitoring systems. This article explores the transformative impact of wearable technologies and AI on healthcare, highlighting the development and theoretical application of the Integrated Personal Health Monitoring System (IPHMS). By integrating data from various wearable devices, such as smartphones, Apple Watches, and Oura Rings, the IPHMS framework aims to revolutionize personal health monitoring through real-time alerts, comprehensive tracking, and personalized insights. Despite its potential, the practical implementation faces challenges, including data privacy, system interoperability, and scalability. The evolution of healthcare technology from traditional methods to AI-enhanced wearables underscores a significant advancement towards personalized care, necessitating further research and innovation to address existing limitations and fully realize the benefits of such integrated health monitoring systems.

Item Type: Article
Subjects: Article Archives > Multidisciplinary
Depositing User: Unnamed user with email support@articlearchives.org
Date Deposited: 26 Mar 2024 06:41
Last Modified: 26 Mar 2024 06:41
URI: http://archive.paparesearch.co.in/id/eprint/2012

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