Abu Bakar, Shahrazie Zainal (2009) Scalp current density mapping during motor task with passive viewing of visual stimulation. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
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Abstract
The study on the brain is an inexact science. Since the advent of medical technology, humans have been trying to study and understand the brain as the most complex organ in the human anatomy. The activity of human brain can be measured using electroencephalograph (EEG). However, EEG measurement in the form of Scalp Potential (SP) is noisy and have poor spatial distribution, thus it is more appropriate for topographic mapping to be done for Scalp Current Density (SCD). The "10-20" system or "International 10-20" system is an internationally recognized method to describe and apply the location of scalp electrodes in the context of an EEG test or experiment. In this system, one uses fractional distances between previously placed electrodes to locate new electrodes and this has led to the use of scalp potential distribution mapping. This project use data taken from real scalp surface of previous research involving 10 test subjects, apply Spherical Spline Interpolation (SSI) methods to map SCDs to a 2-D plane and create color coded topographic maps showing SCD activities. The results show changes in brain wave pattern when a motor task (constant pressure from FDI muscle) is interrupted by a series of visual stimulations in the form of images and finally analysis is done on the results based on established theories.
Item Type: | Thesis (Masters) |
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Additional Information: | Thesis (Sarjana Kejuruteraan (Elektrik - Komputer dan Mikroelektronik)) - Universiti Teknologi Malaysia, 2009; Supervisor : Dr. Norlaili Mat Safri |
Uncontrolled Keywords: | electroencephalography, inexact science, motor task, visual stimulation, scalp |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 12027 |
Deposited By: | Zalinda Shuratman |
Deposited On: | 18 Feb 2011 08:39 |
Last Modified: | 27 May 2021 03:10 |
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