Literature DB >> 22406009

A framework for the comparison of mobile patient monitoring systems.

Pravin Pawar1, Val Jones, Bert-Jan F van Beijnum, Hermie Hermens.   

Abstract

A mobile patient monitoring system makes use of mobile computing and wireless communication technologies for continuous or periodic measurement and analysis of biosignals of a mobile patient. In a number of trials these systems have demonstrated their user-friendliness, convenience and effectiveness for both patients and healthcare professionals. In this paper we propose a generic architecture, associated terminology and a classificatory framework for comparing mobile patient monitoring systems. We then apply this comparison framework to classify six mobile patient monitoring systems selected according to the following criteria: use of diverse mobile communication techniques, evidence of practical trials and availability of sufficient published scientific information. We also show how to use this framework to determine feature sets of prospective real-time mobile patient monitoring systems using the example of epilepsy monitoring. This paper is aimed at both healthcare professionals and computer professionals. For healthcare professionals, this paper provides a general understanding of technical aspects of the mobile patient monitoring systems and highlights a number of issues implied by the use of these systems. The proposed framework for comparing mobile patient monitoring systems can be used by healthcare professionals to determine feature sets of prospective mobile patient monitoring systems to address particular healthcare related needs. Computer professionals are expected to benefit by gaining an understanding of the latest developments in the important emerging application area of mobile patient monitoring systems.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22406009     DOI: 10.1016/j.jbi.2012.02.007

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  10 in total

1.  Mobile-Based Patient Monitoring Systems: A Prioritisation Framework Using Multi-Criteria Decision-Making Techniques.

Authors:  E M Almahdi; A A Zaidan; B B Zaidan; M A Alsalem; O S Albahri; A S Albahri
Journal:  J Med Syst       Date:  2019-06-06       Impact factor: 4.460

2.  Performance assessment of a closed-loop system for diabetes management.

Authors:  A Martinez-Millana; G Fico; C Fernández-Llatas; V Traver
Journal:  Med Biol Eng Comput       Date:  2015-02-11       Impact factor: 2.602

3.  A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.

Authors:  Shaker El-Sappagh; Farman Ali; Abdeltawab Hendawi; Jun-Hyeog Jang; Kyung-Sup Kwak
Journal:  BMC Med Inform Decis Mak       Date:  2019-05-10       Impact factor: 2.796

Review 4.  Home Monitoring Programs for Patients Testing Positive for SARS-CoV-2: An Integrative Literature Review.

Authors:  Brenda Lara; Janey Kottler; Abigail Olsen; Andrew Best; Jessica Conkright; Karen Larimer
Journal:  Appl Clin Inform       Date:  2022-02-16       Impact factor: 2.342

Review 5.  Monitoring and Follow-up of Chronic Heart Failure: a Literature Review of eHealth Applications and Systems.

Authors:  Isabel de la Torre Díez; Begoña Garcia-Zapirain; Amaia Méndez-Zorrilla; Miguel López-Coronado
Journal:  J Med Syst       Date:  2016-06-11       Impact factor: 4.460

Review 6.  Electronic Health Record (EHR) As a Vehicle for Successful Health Care Best Practice.

Authors:  Marjan Ghazisaeedi; Niloofar Mohammadzadeh; Reza Safdari
Journal:  Med Arch       Date:  2014-12-16

7.  Patient Posture Monitoring System Based on Flexible Sensors.

Authors:  Youngsu Cha; Kihyuk Nam; Doik Kim
Journal:  Sensors (Basel)       Date:  2017-03-13       Impact factor: 3.576

8.  eHealthChain-a blockchain-based personal health information management system.

Authors:  Pravin Pawar; Neeraj Parolia; Sameer Shinde; Thierry Oscar Edoh; Madhusudan Singh
Journal:  Ann Telecommun       Date:  2021-07-07       Impact factor: 1.901

9.  Design and customization of telemedicine systems.

Authors:  Claudia I Martínez-Alcalá; Mirna Muñoz; Josep Monguet-Fierro
Journal:  Comput Math Methods Med       Date:  2013-05-15       Impact factor: 2.238

10.  EDDAMAP: efficient data-dependent approach for monitoring asymptomatic patient.

Authors:  Daniel Adu-Gyamfi; Fengli Zhang; Albert Kofi Kwansah Ansah
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-29       Impact factor: 2.796

  10 in total

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