التفاصيل البيبلوغرافية
| العنوان: |
Hand Movement Imagery Task Classification using Fractal Dimension Feature |
| المؤلفون: |
Azalan, Mohd Shuhanaz Zanar, Adom, A. H., M.P, Paulraj, Abdullah, A. H., Abdullah, Fahisal |
| المساهمون: |
Dato’ Professor Dr. Zul Azhar Zahid Jamal, the vice chancellor, Universiti of Malaysia Perlis |
| المصدر: |
Journal of Telecommunication, Electronic and Computer Engineering (JTEC); Vol 10, No 1-13: Exploring Man-Machines Compliance in Signal Processing and Artificial Intelligence; 139-143 ; 2289-8131 ; 2180-1843 |
| بيانات النشر: |
Journal of Telecommunication, Electronic and Computer Engineering (JTEC) |
| سنة النشر: |
2018 |
| المجموعة: |
Universiti Teknikal Malaysia Melaka: UTeM Open Journal System |
| مصطلحات موضوعية: |
Brain Machine Interface, Feed-Forward Neural Network, Fractal Dimension, Motor Imagery |
| الوصف: |
In this paper, a nonstimulus-based Brain Machine Interface (BMI) approach is used to acquire the brain signal from ten different subjects using 19 channel EEG electrodes while performing four different hand movement imaginary tasks. Three different Fractal Dimension algorithm namely Box counting algorithm, Higuchi algorithm, and Detrended fluctuation algorithm are used to extract fractal dimension features from recorded EEG signal and associated with the respective mental tasks. Three Feed-Forward Neural Network model is developed. The performance of the three Neural Network model is evaluated in term of classification rate and compared. The performance of the developed network models are evaluated through simulation. It is observed that the neural network model trained with Higuchi algorithm has contributed high classification accuracy with the better training and testing time for all 10 subjects. The result clearly indicates that the Higuchi fractal dimension algorithm can be used as a feature to classify motor imagery task for the proposed BMI system. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
https://journal.utem.edu.my/index.php/jtec/article/view/4140/2964Test; https://journal.utem.edu.my/index.php/jtec/article/view/4140Test |
| الإتاحة: |
https://journal.utem.edu.my/index.php/jtec/article/view/4140Test |
| حقوق: |
TRANSFER OF COPYRIGHT AGREEMENTThe manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):All proprietary right other than copyright, such as patent rightsThe right to make further copies of all or part of the published article for my use in classroom teachingThe right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; andThe right to make copies of the published work for internal distribution within the institution that employs meI agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request. |
| رقم الانضمام: |
edsbas.F08B8378 |
| قاعدة البيانات: |
BASE |
