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Analysis of brain‐facial muscle connection in the static fractal visual stimulation
Author(s) -
Soundirarajan Mirra,
Babini Mohammad Hossein,
Sim Sue,
Nathan Visvamba,
Subasi Abdulhamit,
Namazi Hamidreza
Publication year - 2021
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.22480
Subject(s) - electroencephalography , electromyography , facial muscles , neuroscience , facial electromyography , computer science , fractal analysis , pattern recognition (psychology) , signal (programming language) , stimulation , fractal , physical medicine and rehabilitation , psychology , artificial intelligence , medicine , fractal dimension , mathematics , mathematical analysis , programming language
Analysis of the coupling among the brain and various organs activities is an exciting and new research area of biomedical signal analysis. We decode the correlation among the brain and facial muscle activities during rest and visual stimulation. Fractal analysis is utilized to evaluate the alterations of complexity. In this study, we present different images with different complexities to participants and evaluate how complex structures of electromyography (EMG) signals and electroencephalography (EEG) signals are related. The findings indicate that the alteration of EMG signals' complexity was significant ( P value = .0001). Besides, more significant alterations in the EMG and EEG signals' complexities in response to the stimuli with higher complexities were observed. We conclude that the brain and facial muscles activities are related. We can analyze other physiological signals using this method to investigate their relationship with the brain.