alexa Asymmetrical Performance and Abnormal Synergies of the Post-Stroke Patient Wearing SCRIPT Passive Orthosis in Calibration, Exercise and Energy Evaluation
ISSN: 2168-9695

Advances in Robotics & Automation
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Research Article

Asymmetrical Performance and Abnormal Synergies of the Post-Stroke Patient Wearing SCRIPT Passive Orthosis in Calibration, Exercise and Energy Evaluation

Yun Qin*, Naila Rahman and Farshid Amirabdollahian

School of Computer Science, University of Hertfordshire, Hatfield, Hertfordshire, UK

*Corresponding Author:
Yun Qin
Adaptive Systems Research Group, School of Computer Science
University of Hertfordshire, Hatfield, Herts AL10 9AB, UK
Tel: +447850065319
E-mail: [email protected]

Received June 9, 2014; Accepted June 15, 2014; Published June 17, 2014

Citation: Qin Y, Rahman N, Amirabdollahian F (2014) Asymmetrical Performance and Abnormal Synergies of the Post-Stroke Patient Wearing SCRIPT Passive Orthosis in Calibration, Exercise and Energy Evaluation. Adv Robot Autom 3:122. doi:10.4172/2168-9695.1000122

Copyright: © 2014 Qin Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In the context of therapeutic human-robot interaction, it is important to detect human contribution in interaction with robots, thus to auto-tune a robot to compensate or resist based on such input. A passive orthosis is used to evaluate interaction based on kinematic data and energy flow model to identify human-contributions during interaction experiments with healthy subject and stroke patient. The results identified presence of abnormal synergies between wrist and fingers, showed a skewness apparent in stroke patient performance which seemed to decrease over-time after the rehabilitation practice and indicated lack of fine control. We hypothesise that the presented methods can be used as potential performance benchmarks allowing to identify subject’s contribution during an interaction session but also to observe extent of fine motor control over time.

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