Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

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

Abstract

This paper proposes the fusion of low-cost unobtrusive heterogeneous sensors (MEMS thermal and radar sensors) to monitor the rehabilitation activities of post-stroke sufferers within home-based settings. Results of the proposed approach are planned to be compared with a standard EMG sensor to ascertain the authenticity, validity and repeatability of the newly introduced sensing solution.
LanguageEnglish
Title of host publicationProceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)
DOIs
Publication statusPublished - Jul 2018
Event32nd International BCS Human Computer Interaction Conference (HCI) - Belfast, United Kingdom
Duration: 4 Jul 20186 Jul 2018
http://Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

Conference

Conference32nd International BCS Human Computer Interaction Conference (HCI)
CountryUnited Kingdom
CityBelfast
Period4/07/186/07/18
Internet address

Fingerprint

Patient rehabilitation
Sensors
MEMS
Radar
Fusion reactions
Costs
Hot Temperature

Cite this

Ekerete, I., Nugent, C., & McLaughlin, J. (2018). Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation. In Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018) [http://dx.doi.org/10.14236/ewic/HCI2018.300] https://doi.org/10.14236/ewic/HCI2018.300
Ekerete, Idongesit ; Nugent, Chris ; McLaughlin, James. / Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation. Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018). 2018.
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title = "Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation",
abstract = "This paper proposes the fusion of low-cost unobtrusive heterogeneous sensors (MEMS thermal and radar sensors) to monitor the rehabilitation activities of post-stroke sufferers within home-based settings. Results of the proposed approach are planned to be compared with a standard EMG sensor to ascertain the authenticity, validity and repeatability of the newly introduced sensing solution.",
author = "Idongesit Ekerete and Chris Nugent and James McLaughlin",
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Ekerete, I, Nugent, C & McLaughlin, J 2018, Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation. in Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)., http://dx.doi.org/10.14236/ewic/HCI2018.300, 32nd International BCS Human Computer Interaction Conference (HCI), Belfast, United Kingdom, 4/07/18. https://doi.org/10.14236/ewic/HCI2018.300

Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation. / Ekerete, Idongesit; Nugent, Chris; McLaughlin, James.

Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018). 2018. http://dx.doi.org/10.14236/ewic/HCI2018.300.

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

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N2 - This paper proposes the fusion of low-cost unobtrusive heterogeneous sensors (MEMS thermal and radar sensors) to monitor the rehabilitation activities of post-stroke sufferers within home-based settings. Results of the proposed approach are planned to be compared with a standard EMG sensor to ascertain the authenticity, validity and repeatability of the newly introduced sensing solution.

AB - This paper proposes the fusion of low-cost unobtrusive heterogeneous sensors (MEMS thermal and radar sensors) to monitor the rehabilitation activities of post-stroke sufferers within home-based settings. Results of the proposed approach are planned to be compared with a standard EMG sensor to ascertain the authenticity, validity and repeatability of the newly introduced sensing solution.

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BT - Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)

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Ekerete I, Nugent C, McLaughlin J. Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation. In Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018). 2018. http://dx.doi.org/10.14236/ewic/HCI2018.300 https://doi.org/10.14236/ewic/HCI2018.300