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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization

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    15301100, 15301071, 19341010, 15101060_CSE.pdf (1.782Mb)
    Date
    2019-12
    Publisher
    Brac University
    Author
    Khan, Akif Ahmed
    Bastob, Abu Wakkas
    Ahmed, Bushra
    Reza, Abdullah Al
    Metadata
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    URI
    http://hdl.handle.net/10361/13834
    Abstract
    Although 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.
    Keywords
    EEG; tDCS; Neurofeedback; Cognitive Load Index; Time-Frequency distribution features; Band extraction
     
    LC Subject Headings
    Brain stimulation; Brain--Diseases--Diagnosis; Electroencephalography
     
    Description
    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 33-37).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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