Artificial EEG signal generated by a network of neurons with one and two dendrites
The electroencephalogram EEG signal analysis is being strongly explored as a new potential tool for control, communication, and clinical diagnosis applications related to many neurological pathologies such as epilepsy, autism, Alzheimer. Analyzing EEG data is a very interesting approach to study cog...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Results in Physics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211379720321173 |
| _version_ | 1818666710807347200 |
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| author | Ghaith Bouallegue Ridha Djemal Kais Belwafi |
| author_facet | Ghaith Bouallegue Ridha Djemal Kais Belwafi |
| author_sort | Ghaith Bouallegue |
| collection | DOAJ |
| description | The electroencephalogram EEG signal analysis is being strongly explored as a new potential tool for control, communication, and clinical diagnosis applications related to many neurological pathologies such as epilepsy, autism, Alzheimer. Analyzing EEG data is a very interesting approach to study cognitive processes. Thus, it can help researchers to understand the brain processes, doctor to establish an efficient medical diagnosis. To better understand the nature and the behavior of this signal which seems to be complex, nonlinear, non-stationary, and imbalanced, we propose to generate this signal using a predefined model of neurons with one and two dendrites by studying their activation functions. Then, we build a network of neurons with two dendrites correlated with the α and β frequencies which represent the most significant sub-bands in EEG signals to generate a signal quite close to EEG recordings. Through this paper, we aim to present a comprehensive study and an exploration of artificial EEG signal generation using only neurons with two dendrites that provided different activation and excitation functions. The presented result shows that the generated EEG signal with six neurons of two dendrites is quite similar to the real EEG recording for a healthy subjects. In addition, some artifacts like Alzheimer and Parkinson have been emulated and identified among the generated spikes. Finally we proved that we can eliminate some artifacts related to harmonics by applying activation function with opposite polarities. |
| first_indexed | 2024-12-17T06:08:52Z |
| format | Article |
| id | doaj.art-8b9d20029293481cad4356c5bf922710 |
| institution | Directory Open Access Journal |
| issn | 2211-3797 |
| language | English |
| last_indexed | 2024-12-17T06:08:52Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Physics |
| spelling | doaj.art-8b9d20029293481cad4356c5bf9227102022-12-21T22:00:42ZengElsevierResults in Physics2211-37972021-01-0120103699Artificial EEG signal generated by a network of neurons with one and two dendritesGhaith Bouallegue0Ridha Djemal1Kais Belwafi2University of Sousse, ENISo of Sousse, Sousse, Tunisia; Corresponding author.University of Sousse, Department of Electrical Engineering, High Institute of Applied Sciences and Technology of Sousse, TunisiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaThe electroencephalogram EEG signal analysis is being strongly explored as a new potential tool for control, communication, and clinical diagnosis applications related to many neurological pathologies such as epilepsy, autism, Alzheimer. Analyzing EEG data is a very interesting approach to study cognitive processes. Thus, it can help researchers to understand the brain processes, doctor to establish an efficient medical diagnosis. To better understand the nature and the behavior of this signal which seems to be complex, nonlinear, non-stationary, and imbalanced, we propose to generate this signal using a predefined model of neurons with one and two dendrites by studying their activation functions. Then, we build a network of neurons with two dendrites correlated with the α and β frequencies which represent the most significant sub-bands in EEG signals to generate a signal quite close to EEG recordings. Through this paper, we aim to present a comprehensive study and an exploration of artificial EEG signal generation using only neurons with two dendrites that provided different activation and excitation functions. The presented result shows that the generated EEG signal with six neurons of two dendrites is quite similar to the real EEG recording for a healthy subjects. In addition, some artifacts like Alzheimer and Parkinson have been emulated and identified among the generated spikes. Finally we proved that we can eliminate some artifacts related to harmonics by applying activation function with opposite polarities.http://www.sciencedirect.com/science/article/pii/S2211379720321173Electroencephalography (EEG)Artificial neuronArtificial EEG modelingHarmonic behavior |
| spellingShingle | Ghaith Bouallegue Ridha Djemal Kais Belwafi Artificial EEG signal generated by a network of neurons with one and two dendrites Results in Physics Electroencephalography (EEG) Artificial neuron Artificial EEG modeling Harmonic behavior |
| title | Artificial EEG signal generated by a network of neurons with one and two dendrites |
| title_full | Artificial EEG signal generated by a network of neurons with one and two dendrites |
| title_fullStr | Artificial EEG signal generated by a network of neurons with one and two dendrites |
| title_full_unstemmed | Artificial EEG signal generated by a network of neurons with one and two dendrites |
| title_short | Artificial EEG signal generated by a network of neurons with one and two dendrites |
| title_sort | artificial eeg signal generated by a network of neurons with one and two dendrites |
| topic | Electroencephalography (EEG) Artificial neuron Artificial EEG modeling Harmonic behavior |
| url | http://www.sciencedirect.com/science/article/pii/S2211379720321173 |
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