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A Cost-effective BCI Assisted Technology Framework for Neurorehabilitation

Authors:
M A Hannan Bin Azhar
Anthony Casey
Mohamed Sakel

Keywords: BCI; Assistive Technology; EEG; EMG; Disability; Neurorehabilitation.

Abstract:
Brain Computer Interface (BCI) controlled assistive robotic systems have been developed with increasing success with the aim to rehabilitate brain injured patients to increase their independence and quality of life. While such systems may use surgically implanted sensors, non-invasive alternatives can be better suited due to ease of use, reduced cost, improvements in accuracy and reliability with the advancement of the technology and practicality of use. The consumer grade BCI devices are often capable of integrating multiple types of signals, including Electroencephalogram (EEG) and Electromyogram (EMG), as well as basic motion-based signals, such as gyroscopic data. This paper reports the development of a framework for rolling out cost-effective BCI driven assistive technology systems and details the implementation and evaluation of a prototype robotic system to determine the efficacy of the proposed framework. The results indicate that the first stage of the framework was effective in accuracy, safety, usability, portability, adaptability and personalisation.

Pages: 32 to 37

Copyright: Copyright (c) IARIA, 2018

Publication date: November 18, 2018

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-682-8

Location: Athens, Greece

Dates: from November 18, 2018 to November 22, 2018