Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia
Background: Today having monitors and instruments which are able to automatically and precisely determine the depth of anesthesia from the electroencephalogram (EEG) signal is important. The purpose of this was is to provide an approach to assess the dynamics of brain chaos and its electrical activi...
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| Format: | Article |
| Language: | fas |
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Isfahan University of Medical Sciences
2018-07-01
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| Series: | مجله دانشکده پزشکی اصفهان |
| Subjects: | |
| Online Access: | http://jims.mui.ac.ir/index.php/jims/article/view/9954 |
| _version_ | 1797716261582405632 |
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| author | Ehsan Mohammadi Saeed Kermani Mohammad Golparvar |
| author_facet | Ehsan Mohammadi Saeed Kermani Mohammad Golparvar |
| author_sort | Ehsan Mohammadi |
| collection | DOAJ |
| description | Background: Today having monitors and instruments which are able to automatically and precisely determine the depth of anesthesia from the electroencephalogram (EEG) signal is important. The purpose of this was is to provide an approach to assess the dynamics of brain chaos and its electrical activity in order to take advantage of the achievements of this theory in cognitive science.
Methods: According to the chaos theorem, the chaotic features of the electroencephalogram signal in different anesthesia levels have been extracted and evaluated as a chaotic system trajectories. In order to evaluate the effect of anesthesia level on the chaotic behavior of electroencephalogram signal, different models created based on the random forest, and the support vector machine modeling. We proposed a procedure to extract largest Lyapunov exponential and Higuchi’s fractal dimension as chaotic features from one channel electroencephalogram in 20 patients under the different depths of anesthesia with sevoflurane; the evaluation was done using K-fold procedure.
Findings: Evaluation of extracted models indicated that mentioned models had repeatability and separability with the accuracy of more than 93%.
Conclusion: Results show that the brain and its electrical activities have chaotic dynamism. Therefore, we can take advantage of chaos theorem in developing of anesthesia monitoring, as well as in many other researches related to the cognitive sciences by analyzing the electroencephalogram signal based on the chaos theorem. |
| first_indexed | 2024-03-12T08:18:58Z |
| format | Article |
| id | doaj.art-8d32e5bc1d8c41c1a69f5d276254f7ca |
| institution | Directory Open Access Journal |
| issn | 1027-7595 1735-854X |
| language | fas |
| last_indexed | 2024-03-12T08:18:58Z |
| publishDate | 2018-07-01 |
| publisher | Isfahan University of Medical Sciences |
| record_format | Article |
| series | مجله دانشکده پزشکی اصفهان |
| spelling | doaj.art-8d32e5bc1d8c41c1a69f5d276254f7ca2023-09-02T18:38:04ZfasIsfahan University of Medical Sciencesمجله دانشکده پزشکی اصفهان1027-75951735-854X2018-07-013648260160610.22122/jims.v36i482.99542995Evaluation of Chaos on Electroencephalogram in Different Depths of AnesthesiaEhsan Mohammadi0Saeed Kermani1Mohammad Golparvar2PhD Student, Department of Bioelectrics and Biomedical Engineering AND Student Research Committee, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, IranAssociate Professor, Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, IranProfessor, Department of Anesthesiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranBackground: Today having monitors and instruments which are able to automatically and precisely determine the depth of anesthesia from the electroencephalogram (EEG) signal is important. The purpose of this was is to provide an approach to assess the dynamics of brain chaos and its electrical activity in order to take advantage of the achievements of this theory in cognitive science. Methods: According to the chaos theorem, the chaotic features of the electroencephalogram signal in different anesthesia levels have been extracted and evaluated as a chaotic system trajectories. In order to evaluate the effect of anesthesia level on the chaotic behavior of electroencephalogram signal, different models created based on the random forest, and the support vector machine modeling. We proposed a procedure to extract largest Lyapunov exponential and Higuchi’s fractal dimension as chaotic features from one channel electroencephalogram in 20 patients under the different depths of anesthesia with sevoflurane; the evaluation was done using K-fold procedure. Findings: Evaluation of extracted models indicated that mentioned models had repeatability and separability with the accuracy of more than 93%. Conclusion: Results show that the brain and its electrical activities have chaotic dynamism. Therefore, we can take advantage of chaos theorem in developing of anesthesia monitoring, as well as in many other researches related to the cognitive sciences by analyzing the electroencephalogram signal based on the chaos theorem.http://jims.mui.ac.ir/index.php/jims/article/view/9954AnesthesiaChaos theoryElectroencephalogramFractals |
| spellingShingle | Ehsan Mohammadi Saeed Kermani Mohammad Golparvar Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia مجله دانشکده پزشکی اصفهان Anesthesia Chaos theory Electroencephalogram Fractals |
| title | Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia |
| title_full | Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia |
| title_fullStr | Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia |
| title_full_unstemmed | Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia |
| title_short | Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia |
| title_sort | evaluation of chaos on electroencephalogram in different depths of anesthesia |
| topic | Anesthesia Chaos theory Electroencephalogram Fractals |
| url | http://jims.mui.ac.ir/index.php/jims/article/view/9954 |
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