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Development and evaluation of prototype virtual reality telemedicine system for asynchronous gait analysis

  • Mohammed Soheeb Khan
  • , W Chan
  • , S Sakellariou
  • , D K Harrison
  • , V Charissis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Various rehabilitation and diagnostic methods related to musculoskeletal injuries or diseases however, can be challenging to monitor and record over long time periods. Furthermore, patients in remote locations, which represent a substantial proportion, face additional time and cost limitations. Current gait analysis methods, although they provide a very detailed record of the patient's walking cycle, are few and located in major city based facilities. Telemedicine based systems are increasingly in demand as they offer cost benefits and wider accessibility. Our proposed system offers a novel, cost efficient motion capture method which could be deployed in remote location and record patient's gait which in turn can be presented to the specialist medical staff remotely through an analytical Virtual Reality environment for review.
Original languageEnglish
Title of host publicationProceedings of the 8th International Conference in Appropriate Healthcare Technologies for Low Resource Setting (AHT IET 2014)
Publisher Institution of Engineering and Technology (IET)
Pages18-21
Number of pages4
ISBN (Print)9781849199155
DOIs
Publication statusPublished - 2014
EventThe 8th International Conference in Appropriate Healthcare Technologies for Low Resource Setting (AHT IET 2014) - London, United Kingdom
Duration: 17 Sept 201418 Sept 2014

Conference

ConferenceThe 8th International Conference in Appropriate Healthcare Technologies for Low Resource Setting (AHT IET 2014)
Abbreviated titleAHT IET 2014
Country/TerritoryUnited Kingdom
CityLondon
Period17/09/1418/09/14

Keywords

  • HCI
  • telemedicine
  • virtual reality
  • motion capture
  • gait analysis

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  • Exploring the development requirements for virtual reality gait analysis

    Khan, M. S., Charissis, V. & Sakellariou, S., Jun 2019, In: Multimodal Technologies and Interaction. 3, 2, 22 p., 24.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    7 Citations (Scopus)
    140 Downloads (Pure)
  • Development and evaluation of virtual reality medical training system for anatomy education

    Falah, J., Charissis, V., Khan, S., Chan, W., Alfalah, S. F. M. & Harrison, D. K., 2015, In: Studies in Computational Intelligence. 591, p. 369-383 15 p.

    Research output: Contribution to journalArticlepeer-review

    30 Citations (Scopus)
  • Gait analysis data visualisation in virtual environment (GADV/VE)

    Alfalah, S. F. M., Chan, W., Khan, M. S., Falah, J. F. M., Alfalah, T., Harrison, D. K. & Charissis, V., 9 Oct 2014, 2014 Science and Information Conference. IEEE, p. 742 - 751 10 p. (Proceedings of 2014 Science and Information Conference, SAI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

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