DECODING OF WRIST MOVEMENTS’ DIRECTION BY FRACTAL ANALYSIS OF MAGNETOENCEPHALOGRAPHY (MEG) SIGNAL

Abstract

Analysis of human movements is an important category of research in biomedical engineering, especially for the rehabilitation purpose. The human’s different movements are usually investigated by analyzing the movement signals. Based on the literatures, fewer efforts have been made in order to investigate how human movements are represented in the brain. In this paper, we decode the movements’ directions of wrist by complexity analysis of Magnetoencephalography (MEG) signal. For this purpose, we employ fractal theory. In fact, we investigate how the complexity of MEG signal changes in case of different wrist movements’ directions. The results of our analysis showed that MEG signal has different level of complexity in response to different movement’s directions. The employed methodology in this research is not limited to the analysis of MEG signal in response to wrist movement, however, it can be applied widely to analyze the influence of different factors (stimuli) on complex structure of other brain signals such as Electroencephalography (EEG) and fMRI signals.