Three dimension 3D signal for electroencephalographic (EEG)

The present paper examined an experiment of brainwave signal electroencephalographic (EEG) analysis using signal processing and image processing for producing the EEG three dimension (3D) signal. EEG is a scientific tool for measuring brainwaves which give information about brain activity. The EEG signal has been collected from healthy subjects. The proposed method using signal processing for preprocessing stage are threshold, band pass filter and Short Time Fourier Transform (STFT). Threshold algorithm used to artefact removal for EEG raw signal. Band pass filter filtered raw signal into sub bands. STFT has been implemented to get EEG spectrogram. Image processing technique has been implemented to produce EEG 3D signal from EEG spectrogram such as color conversion, optimization, gradient and mesh algorithms. Color conversion has been used to convert from RedGreenBlue (RGB) to gray color and optimization are implemented to gray pixels image. Gradient and Mesh algorithm used to produce the 3D signal. The outcome shows that by implementing 3D signal for EEG, the relationship between three parameters (time, amplitude and power) for brainwave is more clearly.