EEG motor imagery applications in brain-computer interface based wheelchair control

Suzani binti Mohamad Samuri

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Type :	article
Subject :	T Technology (General)
Main Author :	Suzani binti Mohamad Samuri
Additional Authors :	Nazre bin Abdul Rashid Ziadoon Tareq Abdulwahhab Al-qaysi
Title :	EEG motor imagery applications in brain-computer interface based wheelchair control

Place of Production :	Tanjong Malim
Publisher :	Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :	2019
Corporate Name :	Universiti Pendidikan Sultan Idris

Abstract : Universiti Pendidikan Sultan Idris

Principally, this study gives an overview about the Neuronal oscillations appear throughout the nervous system in structures as well as, the range of frequencies of clinical and physiological interests for motor imagery EEG signal. In addition, a brief description about MI paradigm which is also known as movement imagery, which is a mental process through which a person imagines a physical action, such as jumping, or moving hands. In particular, event-related desynchronization (ERD) and synchronization (ERS). Finally, a set of studies have been listed towards highlights the advantages of using BCI Competition dataset which is a public dataset that have been widely used in the analysis of the EEG motor imagery signal methods and technique

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