Information-based analysis of the relationship between brain and facial muscle activities in response to static visual stimuli.
Facial muscle
brain
electroencephalography (EEG) signal
electromyography (EMG) signal
information
shannon entropy
static visual stimuli
Journal
Technology and health care : official journal of the European Society for Engineering and Medicine
ISSN: 1878-7401
Titre abrégé: Technol Health Care
Pays: Netherlands
ID NLM: 9314590
Informations de publication
Date de publication:
2021
2021
Historique:
pubmed:
23
6
2020
medline:
1
9
2021
entrez:
23
6
2020
Statut:
ppublish
Résumé
Human facial muscles react differently to different visual stimuli. It is known that the human brain controls and regulates the activity of the muscles. In this research, for the first time, we investigate how facial muscle reaction is related to the reaction of the human brain. Since both electromyography (EMG) and electroencephalography (EEG) signals, as the features of muscle and brain activities, contain information, we benefited from the information theory and computed the Shannon entropy of EMG and EEG signals when subjects were exposed to different static visual stimuli with different Shannon entropies (information content). Based on the obtained results, the variations of the information content of the EMG signal are related to the variations of the information content of the EEG signal and the visual stimuli. Statistical analysis also supported the results indicating that the visual stimuli with greater information content have a greater effect on the variation of the information content of both EEG and EMG signals. This investigation can be further continued to analyze the relationship between facial muscle and brain reactions in case of other types of stimuli.
Sections du résumé
BACKGROUND
BACKGROUND
Human facial muscles react differently to different visual stimuli. It is known that the human brain controls and regulates the activity of the muscles.
OBJECTIVE
OBJECTIVE
In this research, for the first time, we investigate how facial muscle reaction is related to the reaction of the human brain.
METHODS
METHODS
Since both electromyography (EMG) and electroencephalography (EEG) signals, as the features of muscle and brain activities, contain information, we benefited from the information theory and computed the Shannon entropy of EMG and EEG signals when subjects were exposed to different static visual stimuli with different Shannon entropies (information content).
RESULTS
RESULTS
Based on the obtained results, the variations of the information content of the EMG signal are related to the variations of the information content of the EEG signal and the visual stimuli. Statistical analysis also supported the results indicating that the visual stimuli with greater information content have a greater effect on the variation of the information content of both EEG and EMG signals.
CONCLUSION
CONCLUSIONS
This investigation can be further continued to analyze the relationship between facial muscle and brain reactions in case of other types of stimuli.
Identifiants
pubmed: 32568131
pii: THC192085
doi: 10.3233/THC-192085
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM