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dc.contributor.advisorParvez, Mohammad Zavid
dc.contributor.authorKhan, Akif Ahmed
dc.contributor.authorBastob, Abu Wakkas
dc.contributor.authorAhmed, Bushra
dc.contributor.authorReza, Abdullah Al
dc.date.accessioned2020-03-08T05:22:49Z
dc.date.available2020-03-08T05:22:49Z
dc.date.copyright2019
dc.date.issued2019-12
dc.identifier.otherID 15301100
dc.identifier.otherID 15301071
dc.identifier.otherID 19341010
dc.identifier.otherID 15101060
dc.identifier.urihttp://hdl.handle.net/10361/13834
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.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 33-37).
dc.description.abstractAlthough keeping us alive is arguably the most important function of the human brain, the human brain is responsible for a host of functions|including processing of environmental stimuli. Electroencephalography (EEG) is a psychophysiological technique used to measure electro-cortical activity in the brain. It is a noninvasive technique that provides a direct measure of the brain's electrical activity through placement of electrodes on the scalp which is quite precise and instantaneous. A set of probes or electrodes are placed on the scalp which receive EEG signals or brain waves. Using EEG signals we may analyze the mechanisms behind language, cognition, sensory functions, and brain oscillations. After gathering the eeg signals, it can be used as a neurofeedback - a process by which eeg signals are again applied to the brain with the same electrodes. By applying neurofeedback of some speci c pattern or feature we can enhance those features and reduce the other features. Transcarnial Direct Current Stimulation (tDCs) is also another non-invasive method of neuromodulation which is used to constatly apply a small amount of electric current on the head with the use of electrodes. With adequate amount of training with neurofeedback, tdcs individuals may learn to control their own brain waves and thus changing their state of self at will. We have initiated a system where we use EEG-based neurofeedback and tDCs on the left hemisphere of the brain and observe Event-related desynchronization occuring on the right hemisphere. After applying ve-fold cross validation method of classi cation we acquired an accuracy of 86.67% for anodal stimulation and 88.33% for cathodal stimulation.en_US
dc.description.statementofresponsibilityAkif Ahmed Khan
dc.description.statementofresponsibilityAbu Wakkas Bastob
dc.description.statementofresponsibilityBushra Ahmed
dc.description.statementofresponsibilityAbdullah Al Reza
dc.format.extent37 pages
dc.language.isoenen_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.subjectEEGen_US
dc.subjecttDCSen_US
dc.subjectNeurofeedbacken_US
dc.subjectCognitive Load Indexen_US
dc.subjectTime-Frequency distribution featuresen_US
dc.subjectBand extractionen_US
dc.subject.lcshBrain stimulation
dc.subject.lcshBrain--Diseases--Diagnosis
dc.subject.lcshElectroencephalography
dc.titleApplying tDCS over the dominant Hemisphere to observe event-related Desynchronizationen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


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