About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

Research Article

Analytic Hierarchy Process for assessing e-health technologies for elderly indoor mobility analysis

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.14-10-2015.2261667,
        author={Simona Lohan and Oana Cramariuc and Łukasz Malicki and Neja Samar Brenčič and Bogdan Cramariuc},
        title={Analytic Hierarchy Process for assessing e-health technologies for elderly indoor mobility analysis},
        proceedings={5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"},
        publisher={ACM},
        proceedings_a={MOBIHEALTH},
        year={2015},
        month={12},
        keywords={analytic hierarchy process (ahp) elderly e-health care fall detection indoor mobility user surveys},
        doi={10.4108/eai.14-10-2015.2261667}
    }
    
  • Simona Lohan
    Oana Cramariuc
    Łukasz Malicki
    Neja Samar Brenčič
    Bogdan Cramariuc
    Year: 2015
    Analytic Hierarchy Process for assessing e-health technologies for elderly indoor mobility analysis
    MOBIHEALTH
    ICST
    DOI: 10.4108/eai.14-10-2015.2261667
Simona Lohan,*, Oana Cramariuc1, Łukasz Malicki2, Neja Samar Brenčič3, Bogdan Cramariuc4
  • 1: TUT/CITST
  • 2: Knowledge Society Association
  • 3: MKS Electr. Syst./ IZRIIS
  • 4: CITST
*Contact email: elena-simona.lohan@tut.fi

Abstract

Accidental falls and reduced mobility are major risk factors in later life. Changes in a person’s mobility patterns can be related with personal well-being and with the frequency of memory lapses and can be used as risk detectors of incipient neuro-degenerative diseases. Thus, developing technologies for fall detection and indoor localization and novel methods for mobility pattern analysis is of utmost importance in e-health. Choosing the right technology is not only a matter of cost and performance, but also a matter of user acceptability and the perceived ease-of-use by the end user. In this paper, we employ an Analytic Hierarchy Process (AHP) to assess the best fit-to-purpose technology for fall detection and user mobility estimation. Our multi-criteria decision making process is based on the survey results collected from 153 elderly volunteers from 5 EU countries and on 10 emerging e-health technologies for fall detection and indoor mobility pattern estimation. Our analysis points out towards a Bluetooth Low Energy wearable solution as the most suitable solution.

Keywords
analytic hierarchy process (ahp) elderly e-health care fall detection indoor mobility user surveys
Published
2015-12-22
Publisher
ACM
http://dx.doi.org/10.4108/eai.14-10-2015.2261667
Copyright © 2015–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL