دوره 15، شماره 1 - ( 3-1397 )                   جلد 15 شماره 1 صفحات 3-28 | برگشت به فهرست نسخه ها


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Shayegh F, Ghasemi F, Amirfatahi R, Sadri S, Ansarifard K. Online Single-Channel Seizure Prediction, Based on Seizure Genesis Model of Depth-EEG Signals Using Extended Kalman Filter. JSDP. 2018; 15 (1) :3-28
URL: http://jsdp.rcisp.ac.ir/article-1-509-fa.html
شایق فرزانه، قاسمی فهیمه، امیر فتاحی رسول، صدری سعید، انصاری اصل کریم. پیش‌گویی برخط و تک‌کاناله وقوع حمله‌های صرعی با ارائه الگوی تولید صرع بر روی سیگنال‌های depth-EEG با استفاده از فیلتر کالمن توسعه‌یافته. پردازش علائم و داده‌ها. 1397; 15 (1) :3-28

URL: http://jsdp.rcisp.ac.ir/article-1-509-fa.html


دانشگاه علوم پزشکی اصفهان
چکیده:   (562 مشاهده)

تاکنون برای پیش‌گویی وقوع حمله­های صرعی تلاش‌های فراوانی انجام‌شده‌است و مؤثرترین این روش‌ها نیز بر پایه چگونگی ایجاد حمله صرعی، هم‌زمانی بین کانال‌های متفاوت، ثبت فعالیت مغز را موردتوجه قرار داده­اند. این روش‌ها، برای رسیدن به‌ دقت پیش‌گویی بالا، به تعداد زیادی از کانال‌های ثبت فعالیت مغز نیاز دارند و به همین دلیل در عمل مورداستفاده بیماران نخواهند‌بود. با توجه به این نکته که عامل ایجاد هم‌زمانی بین بخش‌های متفاوت مغز، میزان فعالیت مهاری و تحریکی در نورون­هاست؛ انتظار می­رود دقت پیش‌گویی وقوع حمله صرعی با توجه به میزان مهار و تحریک در نورون­های مغز بهبود یابد. در این مقاله برای شبیه­سازی تولید خودبه­خودیِ حمله صرعی، یک الگو فیزیولوژیک با یک الگو آماری فضای حالت (SSM) ترکیب شده‌است. شاخصه‌های الگوی فیزیولوژیک، میزان فعالیت مهاری و تحریکی نورون­ها و خروجی آن، سیگنال­های depth-EEG است. در این الگو فیزیولوژیک، تغییر میزان مهار و تحریک، به بروز رفتارهای متفاوتی در سیگنال فعالیت مغز در خروجی الگو منجر می­شود. الگوی SSM برای شبیه­سازی رفتار شاخصه‌های مهار و تحریک در الگو فیزیولوژیک استفاده شده است. با توجه به این الگو و با استفاده از یک فیلتر کالمن توسعه­یافته، می­توان شاخصه‌های مهار و تحریک پنهان در سیگنال­های مغزی نوفه‌ای را به‌صورت برخط استخراج کرد. با در دست داشتن دنباله شاخصه‌های مهار و تحریک (به‌جای سیگنال­های depth-EEG)، رفتار شاخصه‌ها با استفاده از یک طبقه‌بندی‌کننده الگوی مارکوف مخفی پیوسته (CHMM) به دو گروه پیش­ازحمله و میان­حمله­ای دسته‌بندی‌شده است. در انتها با روش پیشنهادی، دنباله شاخصه‌های مهار و تحریک سیگنال ثبت­شده از یک کانال واقع در کانون صرع شش بیمار از پایگاه داده FSPEEG (که برای آن‌ها ثبت depth-EEG وجود دارد) استخراج‌شده است. کانون صرع این شش بیمار در هیپوکامپ و در بخش تمپورال قرار دارد. این سیگنال­ها شامل 24 حمله و حدود 144 ساعت سیگنال میان­حمله­ای هستند. وقوع حمله صرعی در این بیماران در بدترین حالت ده دقیقه پیش از رخداد حمله صرعی پیش­بینی شده است که برای انجام اقدامات درمانی مناسب است. میزان حساسیت و نرخ پیش‌گویی نادرست الگوریتم پیش‌گویی به‌طور میانگین به‌ترتیب برابر با 100% و 2/0 در ساعت است. در مقایسه با روش‌های پر‌محاسبه‌ای که برای رسیدن به ‌دقت بالا به کانال‌های فراوانی نیاز دارند، پیش‌گویی مبتنی بر الگو با استفاده از یک کانال و به‌صورت کاملاً برخط از ویژگی­های این روش است.
 

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نوع مطالعه: پژوهشي | موضوع مقاله: مقالات گروه علائم حیاتی ( مرتبط با مهندسی پزشکی)
دریافت: ۱۳۹۵/۲/۱۱ | پذیرش: ۱۳۹۶/۸/۶ | انتشار: ۱۳۹۷/۳/۲۳ | انتشار الکترونیک: ۱۳۹۷/۳/۲۳

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