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• W2913508639 endingPage "1950041" @default.
• W2913508639 startingPage "1950041" @default.
• W2913508639 abstract "One of the major attempts in rehabilitation science is to decode different movements of human using physiological signals. Since human movements are mainly controlled by the brain, decoding of movements by analysis of the brain activity has great importance. In this paper, we apply fractal analysis to Electroencephalogram (EEG) signal in order to decode simple and compound limb motor imagery movements. The fractal dimension of EEG signal is analyzed in case of left hand, right hand, both hands, feet, left hand combined with right foot, and right hand combined with left foot movements. Based on the obtained results, EEG signal experiences the lowest and greatest fractal dimension in case of both hands movement, and feet movement, respectively. Besides obtaining different fractal dimension for EEG signal in case of different movements, no significant difference was observed in fractal dimension of EEG signal between different movements. The method of analysis employed in this research can be widely applied to analysis of EEG signal for decoding of different movements of human." @default.
• W2913508639 created "2019-02-21" @default.
• W2913508639 creator A5006298019 @default.
• W2913508639 creator A5017934164 @default.
• W2913508639 date "2019-05-01" @default.
• W2913508639 modified "2023-10-02" @default.
• W2913508639 title "DECODING OF SIMPLE AND COMPOUND LIMB MOTOR IMAGERY MOVEMENTS BY FRACTAL ANALYSIS OF ELECTROENCEPHALOGRAM (EEG) SIGNAL" @default.
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• W2913508639 doi "https://doi.org/10.1142/s0218348x19500415" @default.
• W2913508639 hasPublicationYear "2019" @default.
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