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Classification of modulated motor cortex based on Anodal and Cathodal tDCS

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorParvez, Dr. Mohammad Zavid
dc.contributor.authorChowdhury, Zarif Ahmed
dc.contributor.authorAlam, Dewan Nahidul
dc.contributor.authorNahid, Md. Abu Fattah Hossain Bhuiyan
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2020-10-18T12:22:57Z
dc.date.available2020-10-18T12:22:57Z
dc.date.copyright2019
dc.date.issued2019-12
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 26-30).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.en_US
dc.description.abstractOver 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.en_US
dc.description.degreeBachelor of Science in Computer Science
dc.description.statementofresponsibilityZarif Ahmed Chowdhury
dc.description.statementofresponsibilityDewan Nahidul Alam
dc.description.statementofresponsibilityMd. Abu Fattah Hossain Bhuiyan Nahid
dc.format.extent30 pages
dc.identifier.otherID: 16101258
dc.identifier.otherID: 16101257
dc.identifier.otherID: 16101019
dc.identifier.urihttp://hdl.handle.net/10361/14066
dc.language.isoen_USen_US
dc.publisherBRAC Universityen_US
dc.rightsBrac 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.
dc.subjectAnodalen_US
dc.subjectCathodalen_US
dc.subjectTranscranial Direct Current Stimulation (tDCS)en_US
dc.titleClassification of modulated motor cortex based on Anodal and Cathodal tDCSen_US
dc.typeThesisen_US

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