An unobtrusive sensing solution for home based post-stroke rehabilitation.

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

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.
LanguageEnglish
Title of host publication2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
ISBN (Electronic): 978-1-5386-5488-0
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

Fingerprint

Patient rehabilitation
Radar
Feedback
Sensors
Hot Temperature

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. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Ekerete, Idongesit ; Nugent, Chris ; McLaughlin, James. / An unobtrusive sensing solution for home based post-stroke rehabilitation. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019.
@inproceedings{fcb108352e51494c9782d05dbbaca2f5,
title = "An unobtrusive sensing solution for home based post-stroke rehabilitation.",
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.",
keywords = "Post-stroke, Rehabilitation, Unobtrusive sensing",
author = "Idongesit Ekerete and Chris Nugent and James McLaughlin",
year = "2019",
month = "1",
day = "24",
language = "English",
isbn = "978-1-5386-5487-3",
booktitle = "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",

}

Ekerete, I, Nugent, C & McLaughlin, J 2019, An unobtrusive sensing solution for home based post-stroke rehabilitation. in 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2018 IEEE International Conference on
Bioinformatics and Biomedicine, Madrid, Spain, 3/12/18.

An unobtrusive sensing solution for home based post-stroke rehabilitation. / Ekerete, Idongesit; Nugent, Chris; McLaughlin, James.

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019.

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

TY - GEN

T1 - An unobtrusive sensing solution for home based post-stroke rehabilitation.

AU - Ekerete, Idongesit

AU - Nugent, Chris

AU - McLaughlin, James

PY - 2019/1/24

Y1 - 2019/1/24

N2 - 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.

AB - 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.

KW - Post-stroke

KW - Rehabilitation

KW - Unobtrusive sensing

M3 - Conference contribution

SN - 978-1-5386-5487-3

BT - 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

ER -

Ekerete I, Nugent C, McLaughlin J. An unobtrusive sensing solution for home based post-stroke rehabilitation. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2019