Classification of modulated motor cortex based on Anodal and Cathodal tDCS
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
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10361-140662022-01-26T10:04:54Z Classification of modulated motor cortex based on Anodal and Cathodal tDCS Chowdhury, Zarif Ahmed Alam, Dewan Nahidul Nahid, Md. Abu Fattah Hossain Bhuiyan Parvez, Dr. Mohammad Zavid Department of Computer Science and Engineering, Brac University Anodal Cathodal Transcranial Direct Current Stimulation (tDCS) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 26-30). Over the centuries, humans have wished to achieve the ability to understand the inner functions of the mind and brain. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes place by allowing selfregulation. It has been obtaining momentum as a feasible treatment method for a number of mental disorders and additionally serves as an experimental methodology for researchers to manipulate brain activity in the aims to persuade specific conditions of mind. The purpose of the research is to classify the usage of transcranial direct current Stimulation (tDCS) to overcome and reduce the limitations of neurofeedback. The treatment method of neurofeedback often leads to complications like extremely diffused sensation of anxiety, discontent and discomfort, which is often recognized as an impulse to vomit, dizziness, and photophobia as it redirects and regulates the brain function, which is a fragment of the process. Thus for this purpose in this research, anodal and cathodal tDCS based neurofeedback were applied and then classified to achieve a better result in the application of neurofeedback. The proposed method showed a higher percentage of accuracy (98.67%) for both anodal and cathodal readings using Electroencephalography(EEG) based neurofeedback data for 20 subjects. Zarif Ahmed Chowdhury Dewan Nahidul Alam Md. Abu Fattah Hossain Bhuiyan Nahid B. Computer Science 2020-10-18T12:22:57Z 2020-10-18T12:22:57Z 2019 2019-12 Thesis ID: 16101258 ID: 16101257 ID: 16101019 http://hdl.handle.net/10361/14066 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 30 pages application/pdf Brac University |
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Brac University |
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Institutional Repository |
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en_US |
topic |
Anodal Cathodal Transcranial Direct Current Stimulation (tDCS) |
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Anodal Cathodal Transcranial Direct Current Stimulation (tDCS) Chowdhury, Zarif Ahmed Alam, Dewan Nahidul Nahid, Md. Abu Fattah Hossain Bhuiyan Classification of modulated motor cortex based on Anodal and Cathodal tDCS |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
author2 |
Parvez, Dr. Mohammad Zavid |
author_facet |
Parvez, Dr. Mohammad Zavid Chowdhury, Zarif Ahmed Alam, Dewan Nahidul Nahid, Md. Abu Fattah Hossain Bhuiyan |
format |
Thesis |
author |
Chowdhury, Zarif Ahmed Alam, Dewan Nahidul Nahid, Md. Abu Fattah Hossain Bhuiyan |
author_sort |
Chowdhury, Zarif Ahmed |
title |
Classification of modulated motor cortex based on Anodal and Cathodal tDCS |
title_short |
Classification of modulated motor cortex based on Anodal and Cathodal tDCS |
title_full |
Classification of modulated motor cortex based on Anodal and Cathodal tDCS |
title_fullStr |
Classification of modulated motor cortex based on Anodal and Cathodal tDCS |
title_full_unstemmed |
Classification of modulated motor cortex based on Anodal and Cathodal tDCS |
title_sort |
classification of modulated motor cortex based on anodal and cathodal tdcs |
publisher |
Brac University |
publishDate |
2020 |
url |
http://hdl.handle.net/10361/14066 |
work_keys_str_mv |
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_version_ |
1814306989932544000 |