Mobile Health-monitoring System with Inference, Fall Detection, and Cardiovascular Prediction

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

View Publication Info
 
 
Field Value
 
Title Mobile Health-monitoring System with Inference, Fall Detection, and Cardiovascular Prediction
 
Creator Huang, Yin-Fu
 
Subject health-monitoring
health-caring
wireless sensor
mobile network
inference
fall detection
cardiovascular prediction
data mining
e-health
 
Description As the lifetime of human being gets longer, the problems of chronic diseases grow more. In order to make sure the health statuses of patients are not getting worse, they must be health-monitored continuously in a long term. In this paper, a mobile health-monitoring system is built for patients in place of traditional health-caring manners, which not only gives patients more free spaces, but also can save medical resources, diagnose and predict diseases earlier. In the procedures of health-caring in-house and emergency treatment, a series of vital sensors are combined by integrating sensor network and wireless/mobile network technology to continuously transmit physiological signals of patients to a medical center in a real time, and then doctors can monitor the health statuses of patients exactly, thereby proceeding with diagnosing, recovering, and treatments.
 
Publisher KHALSA PUBLICATIONS
 
Date 2018-09-21
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://cirworld.com/index.php/ijct/article/view/7621
10.24297/ijct.v17i2.7621
 
Source INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol 17 No 2 (2018): Advances in Computing; 7284-7296
2277-3061
 
Language eng
 
Relation http://cirworld.com/index.php/ijct/article/view/7621/7440
 
Rights Copyright (c) 2018 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
https://creativecommons.org/licenses/by/4.0
 

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