Literature DB >> 28464728

Pervasive mobile healthcare systems for chronic disease monitoring.

Geshwaree Huzooree1, Kavi Kumar Khedo2, Noorjehan Joonas3.   

Abstract

Pervasive mobile healthcare system has the potential to improve healthcare and the quality of life of chronic disease patients through continuous monitoring. Recently, many articles related to pervasive mobile healthcare system focusing on health monitoring using wireless technologies have been published. The main aim of this review is to evaluate the state-of-the-art pervasive mobile healthcare systems to identify major technical requirements and design challenges associated with the realization of a pervasive mobile healthcare system. A systematic literature review was conducted over IEEE Xplore Digital Library to evaluate 20 pervasive mobile healthcare systems out of 683 articles from 2011 to 2016. The classification of the pervasive mobile healthcare systems and other important factors are discussed. Potential opportunities and challenges are pointed out for the further deployment of effective pervasive mobile healthcare systems. This article helps researchers in health informatics to have a holistic view toward understanding pervasive mobile healthcare systems and points out new technological trends and design challenges that researchers have to consider when designing such systems for better adoption, usability, and seamless integration.

Entities:  

Keywords:  body sensors; chronic disease monitoring; communication protocols; mobile computing; pervasive healthcare system

Mesh:

Year:  2017        PMID: 28464728     DOI: 10.1177/1460458217704250

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  6 in total

1.  Leveraging Walking Performance to Understand Work Fatigue Among Young Adults: Mixed-Methods Study.

Authors:  Xinghui Yan; Pei-Luen Patrick Rau; Runting Zhong
Journal:  Interact J Med Res       Date:  2020-11-13

2.  Validity and Reliability of the Korean Version of the Health Information Technology Usability Evaluation Scale: Psychometric Evaluation.

Authors:  Jisan Lee; Rebecca Schnall
Journal:  JMIR Med Inform       Date:  2022-01-24

Review 3.  Privacy-preserving deep learning for pervasive health monitoring: a study of environment requirements and existing solutions adequacy.

Authors:  Amine Boulemtafes; Abdelouahid Derhab; Yacine Challal
Journal:  Health Technol (Berl)       Date:  2022-02-04

4.  A Versatile and Ubiquitous IoT-Based Smart Metabolic and Immune Monitoring System.

Authors:  N Arunkumar; V Pandimurugan; M S Hema; H Azath; S Hariharasitaraman; M Thilagaraj; Petchinathan Govindan
Journal:  Comput Intell Neurosci       Date:  2022-03-02

5.  Computational Methods for Physiological Signal Processing and Data Analysis.

Authors:  Yunfeng Wu; Sridhar Krishnan; Behnaz Ghoraani
Journal:  Comput Math Methods Med       Date:  2022-08-10       Impact factor: 2.809

6.  Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment.

Authors:  Francesco Infarinato; Stephanie Jansen-Kosterink; Paola Romano; Lex van Velsen; Harm Op den Akker; Federica Rizza; Marco Ottaviani; Sofoklis Kyriazakos; Beatrix Wais-Zechmann; Markus Garschall; Stefano Bonassi; Hermie J Hermens
Journal:  Int J Environ Res Public Health       Date:  2020-10-28       Impact factor: 3.390

  6 in total

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