Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients

Proprioception is a critical component of sensorimotor functions which directly affect recovery after neurological injuries. However, clinical tests of proprioception still lack sensitivity and reliability, while robotic devices can provide quantitative, accurate, and repeatable metrics. This work p...

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Main Authors: Contu, Sara, Basteris, Angelo, Plunkett, Tegan K., Kuah, Christopher W. K., Chua, Karen S., Campolo, Domenico, Masia, Lorenzo
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/107590
http://hdl.handle.net/10220/50346
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author Contu, Sara
Basteris, Angelo
Plunkett, Tegan K.
Kuah, Christopher W. K.
Chua, Karen S.
Campolo, Domenico
Masia, Lorenzo
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Contu, Sara
Basteris, Angelo
Plunkett, Tegan K.
Kuah, Christopher W. K.
Chua, Karen S.
Campolo, Domenico
Masia, Lorenzo
author_sort Contu, Sara
collection NTU
description Proprioception is a critical component of sensorimotor functions which directly affect recovery after neurological injuries. However, clinical tests of proprioception still lack sensitivity and reliability, while robotic devices can provide quantitative, accurate, and repeatable metrics. This work presents the analysis of the efficacy of a robotic assessment of wrist proprioception in terms of the capability to discern between movements along the different DoFs in a healthy population with a broad range of age. The effect of aging on the proprioceptive matching was analyzed to select an appropriate control group for the comparison with stroke patients, designed to confirm the hypothesis that a high percentage of stroke patients presents proprioceptive impairments in the acute and subacute states. Results show that the protocol is capable of detecting differences in performance along different movement directions, and that wrist proprioception does not deteriorate in the age ranges analyzed. Finally, stroke patients were less accurate in matching the position of their wrist, confirming the hypothesis that proprioceptive performance is often impaired in the acute and subacute phases of stroke.
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spelling ntu-10356/1075902023-03-04T17:07:03Z Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients Contu, Sara Basteris, Angelo Plunkett, Tegan K. Kuah, Christopher W. K. Chua, Karen S. Campolo, Domenico Masia, Lorenzo School of Mechanical and Aerospace Engineering 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) Wrist Proprioception Robot Sensing Systems Engineering::Mechanical engineering Proprioception is a critical component of sensorimotor functions which directly affect recovery after neurological injuries. However, clinical tests of proprioception still lack sensitivity and reliability, while robotic devices can provide quantitative, accurate, and repeatable metrics. This work presents the analysis of the efficacy of a robotic assessment of wrist proprioception in terms of the capability to discern between movements along the different DoFs in a healthy population with a broad range of age. The effect of aging on the proprioceptive matching was analyzed to select an appropriate control group for the comparison with stroke patients, designed to confirm the hypothesis that a high percentage of stroke patients presents proprioceptive impairments in the acute and subacute states. Results show that the protocol is capable of detecting differences in performance along different movement directions, and that wrist proprioception does not deteriorate in the age ranges analyzed. Finally, stroke patients were less accurate in matching the position of their wrist, confirming the hypothesis that proprioceptive performance is often impaired in the acute and subacute phases of stroke. Accepted version 2019-11-06T06:00:02Z 2019-12-06T22:35:06Z 2019-11-06T06:00:02Z 2019-12-06T22:35:06Z 2018 Conference Paper Contu, S., Basteris, A., Plunkett, T. K., Kuah, C. W. K., Chua, K. S., Campolo, D., & Masia, L. (2018). Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients. 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). doi:10.1109/BIOROB.2018.8488083 https://hdl.handle.net/10356/107590 http://hdl.handle.net/10220/50346 10.1109/BIOROB.2018.8488083 en © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/BIOROB.2018.8488083 6 p. application/pdf
spellingShingle Wrist Proprioception
Robot Sensing Systems
Engineering::Mechanical engineering
Contu, Sara
Basteris, Angelo
Plunkett, Tegan K.
Kuah, Christopher W. K.
Chua, Karen S.
Campolo, Domenico
Masia, Lorenzo
Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients
title Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients
title_full Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients
title_fullStr Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients
title_full_unstemmed Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients
title_short Wrist proprioception in acute and subacute stroke : a robotic protocol for highly impaired patients
title_sort wrist proprioception in acute and subacute stroke a robotic protocol for highly impaired patients
topic Wrist Proprioception
Robot Sensing Systems
Engineering::Mechanical engineering
url https://hdl.handle.net/10356/107590
http://hdl.handle.net/10220/50346
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