Rehabilitation-final.pdf (363.71 kB)

Cognitive and neuromuscular robotic rehabilitation framework

Download (363.71 kB)
conference contribution
posted on 24.03.2017, 09:31 by Atta Badii, Maryam Karimi, Qinggang Meng
© 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.

History

School

  • Science

Department

  • Computer Science

Published in

the 16th UK Workshop on Computational Intelligence (UKCI 2016) Advances in Intelligent Systems and Computing

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.

Publisher

Springer

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2017

Notes

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46562-3_21.

ISBN

9783319465616

ISSN

2194-5357

Book series

Advances in Intelligent Systems and Computing (AISC);513

Language

en

Location

Lancaster, UK

Exports

Logo branding

Keywords

Exports