دوره 18، شماره 2 - ( مجله کنترل، جلد 18، شماره 2، تابستان 1403 )
جلد 18 شماره 2,1403 صفحات 36-25 |
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Katoozian D, Hosseini-Nejad H, Abolghasemi M. A Neural Decoding Method Based on Neurons Activities Pattern Recognition for Implantable Intra-cortical BMIs. JoC 2024; 18 (2) :25-36
URL: http://joc.kntu.ac.ir/article-1-1015-fa.html
URL: http://joc.kntu.ac.ir/article-1-1015-fa.html
کاتوزیان دانیال، حسینی نژاد محبتی حسین، ابوالقاسمی محمد رضا. ارائه رویکرد رمزگشایی عصبی برپایه تشخیص الگوی فعالیت‌های عصبی برای یک سیستم رابط مغز و ماشین قابل کاشت در بدن درون قشری. مجله کنترل. 1403; 18 (2) :25-36
1- آزمایشگاه FPGA، دانشکده مهندسی برق، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران
2- آزمایشگاه سیستم های شناختی، مرکز تعالی کنترل و پردازش هوشمند، دانشکده مهندسی برق و کامپیوتر، دانشکده فنی دانشگاه تهران
2- آزمایشگاه سیستم های شناختی، مرکز تعالی کنترل و پردازش هوشمند، دانشکده مهندسی برق و کامپیوتر، دانشکده فنی دانشگاه تهران
چکیده: (2276 مشاهده)
در بحث رابط مغز و ماشین، به عمل تشخیص و تبدیل تصمیمات مغز به دستوراتی که قابل درک برای ماشین باشد، رمزگشایی گفته می-شود. با وجود پیشرفت¬های بدست آمده در حوزه رابط مغز و ماشین، رمزگشایی همچنان یکی از مباحث چالش بر‌‌انگیز بوده است. بعلاوه، بسیاری از روش های پیشنهادی به دلیل حجم محاسباتی بالای خود به پردازنده ای مانند رایانه جهت اجرای الگوریتم های خود نیاز دارند. این دسته از رویکردها به دلیل حجم و توان مصرفی رایانه ها رویکردی عملی برای یک سیستم رابط مغز و ماشین قابل کاشت در بدن به حساب نمی آیند. برای رفع این مشکلات در پژوهش پیشرو از یک رویکر نوین با الهام از روش محاسبات ابر بعدی استفاده شده است. به شکل خلاصه در این روش ابتدا فضای ورودی به یک بردار صفر و یک تبدیل می شود که در گام بعدی به وسیله یک الگوریتم مقایسه، شبیه ترین الگو به فضا های خروجی به عنوان خروجی نهایی انتخاب می شود. روش پیشنهادی به کمک بانک داده ای ثبت شده از ناحیه جلوی چشم (Frontal Eye Field) از دو میمون مذکر (rhesus) که در یک تست نگاه کردن به اهداف در 8 زاویه شرکت داشته‌اند ارزیابی شده است. نتایج حاکی از دقت بدست آمده 51.5 درصد با حجم محاسباتی بسیار پایین است. از طرفی دیگر با پیاده سازی رویکرد پیشنهادی بر روی یک آرایه‌ی دروازه‌ی میدانی برنامه‌پذیر (FPGA) نشان داده شد این روش یک سیستم رابط مغز و ماشین بلادرنگ قابل کاشت در بدن با حجم محاسباتی بسیار پایین با دقتی متوسط است.
نوع مطالعه: پژوهشي |
موضوع مقاله:
تخصصي
دریافت: 1402/9/19 | پذیرش: 1402/12/23 | انتشار الکترونیک پیش از انتشار نهایی: 1403/2/15 | انتشار: 1403/6/30
دریافت: 1402/9/19 | پذیرش: 1402/12/23 | انتشار الکترونیک پیش از انتشار نهایی: 1403/2/15 | انتشار: 1403/6/30
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