The performance enhancement of the LF-ASD brain-computer interface : an Energy normalization transform
department or school: Applied Science, Faculty of
department or school: Electrical and Computer Engineering, Department of
data provider: DSpace
degree campus: UBCV
creator: Yu, Zhou
issued: 2009-10-09T23:59:27Z
issued: 2002
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: The brain-computer interface (BCI) has emerged as a potential and radically new mode of communication for users with neuromuscular impairments since it provides a communication channel based on human brain activity as opposed to peripheral nerves and muscles. It is a practical problem to detect user commands among spontaneous Electroencephalograph signals. Low-Frequency Asynchronous Switch Design (LF-ASD) is one of the leading means of addressing this problem. Although the performance of the LF-ASD is encouraging, it is not yet sufficient for real world application. The main goal of this research study is to improve the design of the LF-ASD BCI technique, and then evaluate the performance of this modified design. In this work, the Energy Feature related to Voluntary Movement Related Potential (VMRP) was determined. An energy normalization transform was proposed corresponding to this Energy Feature. A simulation model was set up and EEG data from five able-bodied subjects was applied for offline evaluation. The impact of this normalization transform was evaluated in two studies: the impact of this transform on the low frequency EEG and the impact on the performances of the LF-ASD. By analyzing the experimental results, the characteristics of this normalization filter were determined. In Study 1, it was determined that the proposed normalization transform has two major benefits to the low frequency EEG components (0-4 Hz), which is used by the LF-ASD. First, it can decrease the input scale variance. Consequently, it resulted in more stable feature sets and then a higher successful classification rate. Second, it can increase the separation between the VMRP and idle data. Another side benefit is that the proposed normalization transform can also adjust the input scale automatically. In Study 2, the performances of the LF-ASD with and without this normalization transform were compared. For four out of the five subjects, this transform increased the successful classifica…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/13873
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note: The Performance Enhancement of the LF-ASD Brain-Computer Interface: An Energy Normalization Transform by Zhou Yu B.A.Sc , Harbin Engineering University, 1995 A THESIS SUBMITTED IN P A R T I A L F U L F I L L M E N T OF THE REQUIREMENTS FOR THE D E G R E E OF Master of Applied Science in THE F A C U L T Y OF G R A D U A T E STUDIES (Department of Electrical and Computer Engineering) We accept this thesis as conforming to the required standard The University of British Columbia Vancouver, B.C., V6T 1Z4 September 2002 © Zhou Yu, 2002 In presenting this thesis in partial fulfilment of the requirements for an advanced degree at the University of British Columbia, I agree that the Library shall make it freely available for reference and study. I further agree that permission for extensive copying of this thesis for scholarly purposes may be granted by the head of my department or by his or her representatives. It is understood that copying or publication of this thesis for financial gain shall not be allowed without my written permission. Department of El^-fr,'/J H U^^^ ^ ^ ^ \ The University of British Columbia Vancouver, Canada Date DE-6 (2/88) A B S T R A C T The brain-computer interface (BCI) has emerged as a potential and radically new mode of communication for users with neuromuscular impairments since it provides a communication channel based on human brain activity as opposed to peripheral nerves and muscles. It is a practical problem to detect user commands among spontaneous Electroencephalograph signals. Low-Frequency Asynchronous Switch Design (LF-ASD) is one of the leading means of addressing this problem. Although the performance of the LF-ASD is encouraging, it is not yet sufficient for real world application. The main goal of this research study is to improve the design of the LF-ASD BCI technique, and then evaluate the performance of this modified design. In this work, the Energy Feature related to Voluntary Movement Related Potential (VMRP) was determined…
has type: Thesis/Dissertation
date issued: 2003-05
is shown at: 10.14288/1.0065550
language: eng
degree discipline: Electrical and Computer Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/13873