An unobtrusive sensing solution for home based post-stroke rehabilitation: Proceedings

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2 Citations (Scopus)
3 Downloads (Pure)

Abstract

This paper proposes the use of unobtrusive sensing solutions to facilitate post-stroke rehabilitation exercises in home-based settings. Radar and thermal sensors are used to collect real-time data from a human subject as they perform rehabilitation exercises. The data collected is then compared with a gold standard exercise, which has been clinically prescribed, to allow feedback to be provided on how the exercises have been completed. The first iteration of the technical platform is presented and plans for its further development are outlined.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
Pages1478-1479
Number of pages2
ISBN (Electronic)978-1-5386-5488-0
DOIs
Publication statusPublished - 24 Jan 2019
Event2018 IEEE International Conference on
Bioinformatics and Biomedicine
- Madrid, Spain
Duration: 3 Dec 20186 Dec 2018
http://orienta.ugr.es/bibm2018/

Conference

Conference2018 IEEE International Conference on
Bioinformatics and Biomedicine
Abbreviated titleBIBM2018
CountrySpain
CityMadrid
Period3/12/186/12/18
Internet address

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Keywords

  • Post-stroke
  • Rehabilitation
  • Unobtrusive sensing

Cite this

Ekerete, I., Nugent, C., & McLaughlin, J. (2019). An unobtrusive sensing solution for home based post-stroke rehabilitation: Proceedings. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, ... L. Zhang (Eds.), 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1478-1479). [8621279] https://doi.org/10.1109/BIBM.2018.8621279