Evaluation of Methods for Estimating Fractal Dimension in Motor Imagery-Based Brain Computer Interface
Joint Authors
Lee, Gin Chong
Samraj, Andrews
Loo, Chu Kiong
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-11-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A brain computer interface BCI enables direct communication between a brain and a computer translating brain activity into computer commands using preprocessing, feature extraction, and classification operations.
Feature extraction is crucial, as it has a substantial effect on the classification accuracy and speed.
While fractal dimension has been successfully used in various domains to characterize data exhibiting fractal properties, its usage in motor imagery-based BCI has been more recent.
In this study, commonly used fractal dimension estimation methods to characterize time series Katz's method, Higuchi's method, rescaled range method, and Renyi's entropy were evaluated for feature extraction in motor imagery-based BCI by conducting offline analyses of a two class motor imagery dataset.
Different classifiers fuzzy k-nearest neighbours FKNN, support vector machine, and linear discriminant analysis were tested in combination with these methods to determine the methodology with the best performance.
This methodology was then modified by implementing the time-dependent fractal dimension TDFD, differential fractal dimension, and differential signals methods to determine if the results could be further improved.
Katz's method with FKNN resulted in the highest classification accuracy of 85%, and further improvements by 3% were achieved by implementing the TDFD method.
American Psychological Association (APA)
Loo, Chu Kiong& Samraj, Andrews& Lee, Gin Chong. 2011. Evaluation of Methods for Estimating Fractal Dimension in Motor Imagery-Based Brain Computer Interface. Discrete Dynamics in Nature and Society،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-493567
Modern Language Association (MLA)
Loo, Chu Kiong…[et al.]. Evaluation of Methods for Estimating Fractal Dimension in Motor Imagery-Based Brain Computer Interface. Discrete Dynamics in Nature and Society No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-493567
American Medical Association (AMA)
Loo, Chu Kiong& Samraj, Andrews& Lee, Gin Chong. Evaluation of Methods for Estimating Fractal Dimension in Motor Imagery-Based Brain Computer Interface. Discrete Dynamics in Nature and Society. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-493567
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493567