انتخاب یک فضای ویژگی بهینه در تشخیص حملات صرعی بر پایه آنالیز کمی‌سازی بازگشتی و الگوریتم ژنتیک

الموضوعات :

صالح لشکری ¹ (دانشجوی دکترا - دانشکده مهندسی برق، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران)
مهدی آذرنوش ² (استادیار - دانشکده مهندسی برق، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران)

تاريخ الإرسال : 07 الخميس , شوال, 1436 تاريخ التأكيد : 18 الإثنين , رجب, 1437 تاريخ الإصدار : 26 الجمعة , رمضان, 1437

الکلمات المفتاحية: الگوریتم ژنتیک, انتخاب ویژگی, الکتروانسفالوگرام, تشخیص حمله صرعی, آنالیز کمی‌سازی بازگشتی,

ملخص المقالة :

در طبقه‌بندی داده‌ها انتخاب فضای ویژگی متناسب با ماهیت پدیده و قدرت تفکیک بالا بسیار حائز اهمیت است. قابلیت نگاشت‌ بازگشتی در تحلیل دادگان غیرایستا موجب می‌شود در تشخیص حملات صرعی نیز مورد توجه قرار گیرد. در این پژوهش به تشخیص حملات صرعی توسط آنالیز کمی‌سازی بازگشتی بر پایه ترکیب الگوریتم ژنتیک و طبقه‌بند بیزین ‌پرداخته شده است. در ابتدا نگاشت بازگشتی سیگنال EEG دو گروه صرعی و نرمال هریک شامل 100 نمونه، بازای پنج نوع معیار فاصله (ماکزیمم فاصله، مینیمم فاصله، اقلیدوسی، ماهالانوبیس، منهتن) و 10 حد آستانه(ε) مختلف تشکیل و بهترین مجموعه ویژگی‌ بازای 50 تکرار الگوریتم ژنتیک بر اساس نرخ طبقه‌بندی بیزین انتخاب گردید. نتایج، نشانگر کارایی بالای روش پیشنهادی بوده به گونه‌ای که با انتخاب معیار مینیمم فاصله و حدآستانه 1˂ε˂ 1/0 تفکیک 100 % است. همچنین روش نسبت به حد آستانه (ε) و معیار فاصله حساسیت پایینی دارد. ویژگی Trans با بیشترین مشارکت در انتخاب ویژگی و بالاترین صحت، به عنوان ویژگی بهینه معرفی می‌شود.

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