Design and analysis of a brain-computer interface-based robotic rehabilitation system

Koyaş, Ela (2013) Design and analysis of a brain-computer interface-based robotic rehabilitation system. [Thesis]

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In this thesis, we have investigated the effect of brain-computer interfaces (BCI) which enable direct communication between a brain and a computer, to increase the patient's active involvement to his/her task in the robotic rehabilitation therapy. We have designed several experimental paradigms using electroencephalography (EEG) based BCIs which can be used to extract information about arm movement imagery in the context of robotic rehabilitation experiments. In particular, we propose a protocol that extracts and uses information about the level of intention of the subject to control the robot continuously throughout a rehabilitation experiment. In this context we have developed and implemented EEG signal processing, learning and classiffication algorithms for o ine and online decision-making. We have used di erent types of controlling methods over the robotic system and examined the potential impact of BCI on rehabilitation, the effect of robotic haptic feedback on BCI, and information contained in EEG about the rehabilitation process. Our results verify that the use of haptic feedback through robotic movement improves BCI performance. We also observe that using BCI continuously in the experiment rather than only to trigger robotic movement may be preferable. Finally, our results indicate stronger motor imagery activity in BCI-based experiments over conventional experiments in which movement is performed by the robot without the subject's involvement.
Item Type: Thesis
Uncontrolled Keywords: Electroencephalogram. -- Brain-computer interfaces. -- Event-related synchronization and desynchronization. -- Motor imagery movements. -- Robotic rehabilitation systems elektroensefalografi. -- Beyin-bilgisayar arayzleri. -- Olgu ile ilgili senkronizasyon ve desenkronizasyon. -- Hayali motor hareketleri. -- Robotik rehabilitasyon sistemleri.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: IC-Cataloging
Date Deposited: 24 Mar 2017 13:20
Last Modified: 26 Apr 2022 10:08

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