Abstract
The objective of this study is to analyze the spontaneous electroencephalographic (EEG) data corresponding to body parts movement imagery tasks in term of fractal properties. We proposed the six algorithms of fractal dimension (FD) estimators; box-counting algorithm, Higuchi algorithm, variance fractal algorithm, detrended fluctuation analysis, power spectral density analysis, and critical exponent analysis. The different parts of human body movement imagination such as feet, tongue, and index finger are proposed to use as the tasks in this experiment. The EEG data recorded from three healthy subjects (two males and one female). The experimental results show useful in the measurement of FD changes in EEG data and present different characteristics in term of variability. The probability density function (PDF) is also applied to show that the FD distribution along each electrode. This study proposes the performances of each method can extract information from EEG data of imagined movement.
