کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6854693 1437593 2018 49 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms
چکیده انگلیسی
Results: Experimental results revealed sensitivity, specificity, accuracy, positive predictive rate, negative predictive rate, and area under the curve of 97.6%, 94.4%, 96.1%, 92.9%, 98.8% and 0.96 respectively using the SVM classifier. Finally, MATLAB based software tool referred to as CADFES was introduced for automated classification of focal and non-focal seizures. Comparison results ensure that proposed study is superior to existing methods. Hence, it is expected to perform better at the hospitals for automated classification of focal epileptic seizures in real-time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 113, 15 December 2018, Pages 18-32
نویسندگان
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