Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels
المؤلفون المشاركون
Thangavel, Vijayakumar
Rajaguru, Harikumar
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-07
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The objective of this paper is to compare the performance of Singular Value Decomposition (SVD), Expectation Maximization (EM), and Modified Expectation Maximization (MEM) as the postclassifiers for classifications of the epilepsy risk levels obtained from extracted features through wavelet transforms and morphological filters from EEG signals.
The code converter acts as a level one classifier.
The seven features such as energy, variance, positive and negative peaks, spike and sharp waves, events, average duration, and covariance are extracted from EEG signals, out of which four parameters like positive and negative peaks, spike and sharp waves, events, and average duration are extracted using Haar, dB2, dB4, and Sym8 wavelet transforms with hard and soft thresholding methods.
The above said four features are also extracted through morphological filters.
The performance of the code converter and classifiers are compared based on the parameters such as Performance Index (PI) and Quality Value (QV).
The Performance Index and Quality Value of code converters are at low value of 33.26% and 12.74, respectively.
The highest PI of 98.03% and QV of 23.82 are attained at dB2 wavelet with hard thresholding method for SVD classifier.
All the postclassifiers are settled at PI value of more than 90% at QV of 20.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rajaguru, Harikumar& Thangavel, Vijayakumar. 2014. Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-500087
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rajaguru, Harikumar& Thangavel, Vijayakumar. Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-500087
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rajaguru, Harikumar& Thangavel, Vijayakumar. Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-500087
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-500087
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر