Internet of Things and Ambient Intelligence for Mobile Health Monitoring: A Review of a Decade of Research

Authors

  • Ons Aouedi ESEN-Univ. of Manouba, Tunisia
  • Mohamed Anis Bach Tobji LARODEC Laboratory ISG-University of Tunis, Tunisia
  • Ajith Abraham Machine Intelligence Research Labs (MIR Labs) Scientific Network for Innovation and Research Excellence, Auburn, Washington 98071, USA

Keywords:

Ambient intelligence, health care, IoT, mobile health, activity recognition, wearable sensors

Abstract

Due to increase in chronic disease, aging, and medical costs, we are approaching a world where basic healthcare would become out of reach to most people. Fortunately modern technologies like Ambient Intelligence (AmI) and Internet of things (IoT) offer unparalleled benefits, which could improve the quality and efficiency of treatments and accordingly improve the health of the patients. The idea is to bring down the hospital management, drugs and healthcare costs and also make it more accessible. Real-time monitoring using sensors can save lives in event of a medical emergency like heart failure, diabetes, etc. and for terminally ill patients, who needs continuous monitoring. IoT enables interoperability, machine-to-machine communication, information exchange, and data movement that makes healthcare service delivery effective. Mobile healthcare helps monitor / check the patients and identify anomalies instantly besides reducing hospital management costs. This paper presents a survey about infrastructure, technologies and methodologies used in IoT - AmI for mobile health monitoring. We focused on the methodologies utilized to detect and monitor health status of patients and how Ambient Intelligence can greatly effect our lives.

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Published

2018-01-01

How to Cite

Ons Aouedi, Mohamed Anis Bach Tobji, & Ajith Abraham. (2018). Internet of Things and Ambient Intelligence for Mobile Health Monitoring: A Review of a Decade of Research. International Journal of Computer Information Systems and Industrial Management Applications, 10, 10. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/386

Issue

Section

Original Articles