Classification of modulated motor cortex based on Anodal and Cathodal tDCS
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BRAC University
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Abstract
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.
Description
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 26-30).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
Includes bibliographical references (pages 26-30).
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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Thesis