دوره 9، شماره 4 - ( July & August 2018 1397 )                   جلد 9 شماره 4 صفحات 227-240 | برگشت به فهرست نسخه ها

XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Akbarian B, Erfanian A. Automatic Seizure Detection Based on Nonlinear Dynamical Analysis of EEG Signals and Mutual Information. BCN. 2018; 9 (4) :227-240
URL: http://bcn.iums.ac.ir/article-1-923-fa.html
Automatic Seizure Detection Based on Nonlinear Dynamical Analysis of EEG Signals and Mutual Information. مجله علوم اعصاب پایه و بالینی. 1397; 9 (4) :227-240

URL: http://bcn.iums.ac.ir/article-1-923-fa.html


چکیده:  

Introduction: In this paper, nonlinear dynamical analysis based on Recurrence Quantification Analysis (RQA) is employed to characterize the nonlinear EEG dynamics. RQA can provide useful quantitative information on the regular, chaotic, or stochastic property of the underlying dynamics. 
Methods: We use the RQA-based measures as the quantitative features of the nonlinear EEG dynamics. Mutual Information (MI) was used to find the most relevant feature subset out of RQA-based features. The selected features were fed into an artificial neural network for grouping of EEG recordings to detect ictal, interictal, and healthy states. The performance of the proposed procedure was evaluated using a database for different classification cases.
Results: The combination of five selected features based on MI achieved 100% accuracy, which demonstrates the superiority of the proposed method.
Conclusion: The results showed that the nonlinear dynamical analysis based on Rcurrence Quantification Analysis (RQA) can be employed as a suitable approach for characterizing the nonlinear EEG dynamics and detecting the seizure.

نوع مطالعه: Original | موضوع مقاله: Computational Neuroscience
دریافت: ۱۳۹۵/۱۲/۱۳ | پذیرش: ۱۳۹۶/۷/۱۲ | انتشار: ۱۳۹۷/۴/۱۰

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA code

کلیه حقوق این وب سایت متعلق به Basic and Clinical Neuroscience می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2018 All Rights Reserved | Basic and Clinical Neuroscience

Designed & Developed by : Yektaweb