Development Of Visualisation Suite For A Low Cost Electroencephalography (EEG) System

Tan, Jun Wei (2015) Development Of Visualisation Suite For A Low Cost Electroencephalography (EEG) System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Development Of Visualisation Suite For A Low Cost Electroencephalography (EEG) System.pdf - Submitted Version Download (461kB)

Abstract

Electroencephalography (EEG) is a technique that recording of neural electrical activity of human by attaching electrodes to human scalp. The EEG has been used widely in the medical field to measure brain function and to evaluate brain disease such as sleep disorder, brain death and so on. The low-cost encephalography or low-cost bio amplifier that recently entered into the market making it more affordable for the use of practical research applications and gaming purpose. Since the low-cost EEG normally comes with Graphical User Interface (GUI) with less features and function, this project will present about the development of a new visualisation suite for low-cost EEG using MATLAB software. The brain signals are picked up by attaching the electrode of low-cost bio amplifier to human scalp surface. The device will then connect to PC/laptop. In order to interface with MATLAB, the connection between PC/laptop and low-cost bio amplifier had been established so that MATLAB can read the brain signals from a low-cost bio amplifier. Furthermore, the project also described about the function and feature of different GUI by comparing few visualisation suite in the market. Each step of this project that presented in flow chart are also clearly discussed in Methodology part. At the end of this project, a user friendly graphic user interface (GUI) was developed which showing real time information of EEG signal. Some signal processing method was also applied to the EEG signal which are 2D Plotting, 3D surface plotting, FFT and Gyroscope. For future improvement, it is recommended that the GUI can implement more signal processing method such as 3D brain mapping and power spectrum. Also, it is advised to load the recorded EEG data and expose it in the GUI.

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