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Journal of Medical Signals and Sensors، جلد ۱۵، شماره ۷، صفحات ۱۰-۴۱۰۳
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عنوان انگلیسی A Nonlinear Method to Identify Seizure Dynamic Trajectory Based on Variance of Recurrence Rate in Human Epilepsy Patients Using EEG
چکیده انگلیسی مقاله Abstract Background:  Surgery is a well-established treatment for drug-resistant epilepsy, but outcomes are often suboptimal, especially when no lesion is visible on preoperative imaging. A major challenge in determining the seizure’s origin and spread is interpreting electroencephalogram (EEG) data. Accurately tracing the seizure’s signal trajectory, given the brain’s complex behavior, remains a crucial hurdle. Materials and Methods:  In this study, EEG data from 17 patients were analyzed, using the clinical interpretations of the epileptogenic region as the gold standard. Quantification analysis of recurrence plots primarily based on variance in recurrence rate was used to identify the regions involved during seizures based on investigation of the recurrence phenomena between the regions. This method allowed for a stage-wise analysis across EEG electrodes, highlighting simultaneously involved areas. Results:  The method effectively distinguished involved from noninvolved regions across anterior, posterior, right temporal, and left temporal areas with macro averaged F-score of 95.54. For the anterior region, it achieved an overall accuracy (correct predictions out of total predictions) of 86.96%, sensitivity (ability to correctly identify seizure-involved regions) of 82.79%, and specificity (ability to correctly identify non-involved regions) of 86.96%. For the other regions, accuracy, sensitivity, and specificity values ranged from 66.0% to 89.13%. Conclusions:  This approach could pinpoint brain regions involved in seizures at any stage and could be useful for clinical monitoring and surgical planning. The method’s simplicity and strong performance suggest it is promising for the real-time application during epilepsy treatment.
کلیدواژه‌های انگلیسی مقاله Dynamic trajectory,electroencephalogram,recurrence plot,seizure
نویسندگان مقاله | Morteza Farahi
1.Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran 2.Research Center for Biomedical Technologies and Robotics, Tehran University of Medical Sciences, Tehran, Iran


| Seyed Saman Sajadi
Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran


| Fateme Karbasi
pars Advanced Medical Research Centre, Pars Hospital, Tehran, Iran


| Seyed Sohrab Hashemi Fesharaki
Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran


| Jafar Mehvari Habibabadi
Section of Neuroscience, Department of Neurology, Faculty of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran


| Mohsen Reza Haidari
1.Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran 2.Research Center for Biomedical Technologies and Robotics, Tehran University of Medical Sciences, Tehran, Iran


| Amir Homayoun Jafari


نشانی اینترنتی http://jmss.mui.ac.ir/index.php/jmss/article/view/758
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Articles
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