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Fog-Internet of things-assisted multi-sensor intelligent monitoring model to analyse the physical health condition.

Authors :
Li, Fen
Shankar, Achyut
Santhosh Kumar, B.
Balamurugan, S.
Muthu, BalaAnand
Peng, Sheng-Lung
Abd Wahab, Mohd Helmy
Source :
Technology & Health Care; 2021, Vol. 29 Issue 6, p1319-1337, 19p
Publication Year :
2021

Abstract

<bold>Background: </bold>Internet of Things (IoT) technology provides a tremendous and structured solution to tackle service deliverance aspects of healthcare in terms of mobile health and remote patient tracking. In medicine observation applications, IoT and cloud computing serves as an assistant in the health sector and plays an incredibly significant role. Health professionals and technicians have built an excellent platform for people with various illnesses, leveraging principles of wearable technology, wireless channels, and other remote devices for low-cost healthcare monitoring.<bold>Objective: </bold>This paper proposed the Fog-IoT-assisted multisensor intelligent monitoring model (FIoT-MIMM) for analyzing the patient's physical health condition.<bold>Method: </bold>The proposed system uses a multisensor device for collecting biometric and medical observing data. The main point is to continually generate emergency alerts on mobile phones from the fog system to users. For the precautionary steps and suggestions for patients' health, a fog layer's temporal information is used.<bold>Results: </bold>Experimental findings show that the proposed FIoT-MIMM model has less response time and high accuracy in determining a patient's condition than other existing methods. Furthermore, decision making based on real-time healthcare information further improves the utility of the suggested model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09287329
Volume :
29
Issue :
6
Database :
Complementary Index
Journal :
Technology & Health Care
Publication Type :
Academic Journal
Accession number :
153965053
Full Text :
https://doi.org/10.3233/THC-213009