دوره 18، شماره 2 - ( 7-1400 )
جلد 18 شماره 2 صفحات 176-163 |
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Vaghefi M, Jamshidi F. Features selection for cardiac arrhythmia diagnosis using multiple objective binary particle swarm optimization. JSDP 2021; 18 (2) :163-176
URL: http://jsdp.rcisp.ac.ir/article-1-972-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-972-fa.html
واقفی مهسا، جمشیدی فاطمه. انتخاب ویژگی برای تشخیص آریتمی‌های قلبی با استفاده از بهینه‌سازی ازدحام ذرات دودویی چند‌هدفه. پردازش علائم و داده‌ها. 1400; 18 (2) :163-176
گروه مهندسی برق، واحد شیراز، دانشگاه آزاد اسلامی
چکیده: (1886 مشاهده)
سیگنال الکتروکاردیوگرام، یکی از مهمترین ابزار برای طبقه‌بندی انواع مختلف آریتمی‌های قلبی است. به‌طورمعمول سیگنال‌های ECG، حاوی نوفه‌های متفاوتی هستند. در این مقاله، تکنیک تجزیه مد تجربی گروهی که در آن هر تابع مد ذاتی (IMF)، شامل تنها یک مؤلفه فرکانسی است، برای حذف نوفه به کار رفته است. با کمک پنجره‌بندی مناسب بر روی کمپلکس QRS متشکل از جمع سه IMF نخست، حذف نوفه با کمترین اعوجاج انجام شده و با استفاده از تبدیل موجک گسسته، نوفه‌های باقی‌مانده نیز از بین رفته، سپس با به‌کارگیری تجزیه بسته موجک، از سیگنال ویژگی استخراج شده است که ویژگی‌های بهینه، با روش بهینه‌سازی ازدحام ذرات دودویی چند‌هدفه انتخاب شدهاند؛ در‌نهایت از شبکه عصبی پس‌انتشار، برای طبقه‌بندی استفاده شده که مقدار دقت 12/99 درصد برای 17 عدد سیگنال دریافت‌‌شده از پایگاه داده MIT-BIH، به‌دست آمده است.
واژه‌های کلیدی: بهینه‌سازی ازدحام ذرات دودویی چند‌هدفه، تجزیه بسته موجک، تجزیه مد تجربی گروهی، شبکه عصبی پس‌انتشار
نوع مطالعه: پژوهشي |
موضوع مقاله:
مقالات گروه علائم حیاتی ( مرتبط با مهندسی پزشکی)
دریافت: 1397/11/25 | پذیرش: 1399/5/28 | انتشار: 1400/7/16 | انتشار الکترونیک: 1400/7/16
دریافت: 1397/11/25 | پذیرش: 1399/5/28 | انتشار: 1400/7/16 | انتشار الکترونیک: 1400/7/16
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