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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24516

Title: Cognitive and neuromuscular robotic rehabilitation framework
Authors: Badii, Atta
Karimi, Maryam
Meng, Qinggang
Issue Date: 2017
Publisher: Springer
Citation: BADII, A., KARIMI, M. and MENG, Q., 2017. Cognitive and neuromuscular robotic rehabilitation framework. IN: Plamen, A. ...et al. (eds.), Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK, Cham, Switzerland: Springer, pp. 319-329.
Series/Report no.: Advances in Intelligent Systems and Computing (AISC);513
Abstract: © Springer International Publishing AG 2017.This paper presents a cognitive and neuromuscular robotic rehabilitation framework to support enhanced control of arm movement for humans with muscular control impairment, typically with some level of memory deficiency due to, for example, suffering from a stroke. It describes the design, development and integration of the framework architecture as well as a Baxter robot based demonstration platform. Three key elements of the proposed framework (rehabilitation module, workspace and rehabilitation scenarios) have been described in detail. In the rehabilitation sessions, the users and the robot are asked to work together to place cubes so as to form a predefined shape. The robot and the user hold the same object in order to move it to a particular destination according to a rehabilitation scenario. If the robot detects a force from the user directed in the wrong direction during the navigation then it resists and corrects the movement in order to assist the user towards the right direction. The assistive support scenarios were designed to evaluate the achieved enhancement of precision, efficiency and dexterity of arm movements. The proposed rehabilitation framework provides a modular, automated and open-source platform for researchers and practitioners in neuromuscular rehabilitation applications.
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46562-3_21.
Version: Accepted for publication
DOI: 10.1007/978-3-319-46562-3_21
URI: https://dspace.lboro.ac.uk/2134/24516
Publisher Link: http://dx.doi.org/10.1007/978-3-319-46562-3_21
ISBN: 9783319465616
ISSN: 2194-5357
Appears in Collections:Published Articles (Computer Science)

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