Theses and Dissertations
Date of Award
12-2020
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical Engineering
First Advisor
Dr. Paul Choi
Second Advisor
Dr. Jae Sok Son
Third Advisor
Dr. Nantakan Wongkasem
Abstract
Anowar, Md Hasan, A Python-based Brain-Computer Interface Package for Neural Data Analysis. Master of Science (MS), December, 2020, 70 pp., 4 tables, 23 figures, 74 references.
Although a growing amount of research has been dedicated to neural engineering, only a handful of software packages are available for brain signal processing. Popular brain-computer interface packages depend on commercial software products such as MATLAB. Moreover, almost every brain-computer interface software is designed for a specific neuro-biological signal; there is no single Python-based package that supports motor imagery, sleep, and stimulated brain signal analysis. The necessity to introduce a brain-computer interface package that can be a free alternative for commercial software has motivated me to develop a toolbox using the python platform. In this thesis, the structure of MEDUSA, a brain-computer interface toolbox, is presented. The features of the toolbox are demonstrated with publicly available data sources. The MEDUSA toolbox provides a valuable tool to biomedical engineers and computational neuroscience researchers.
Recommended Citation
Anowar, Md Hasan, "A Python-based Brain-Computer Interface Package for Neural Data Analysis" (2020). Theses and Dissertations. 610.
https://scholarworks.utrgv.edu/etd/610
Comments
Copyright 2020 Md Hasan Anowar. All Rights Reserved.
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