دوره 15، شماره 3 - ( 9-1397 )
جلد 15 شماره 3 صفحات 74-59 |
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Golgouneh A, Tarvirdizadeh B. Development of a Mechatronics System to Real-Time Stress Detection Based on Physiological Signals. JSDP 2018; 15 (3) :59-74
URL: http://jsdp.rcisp.ac.ir/article-1-611-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-611-fa.html
گل‌گونه علیرضا، تارویردی‌زاده بهرام. توسعه سامانه مکاترونیکی بلادرنگ سنجش استرس، مبتنی بر سیگنال‌های حیاتی. پردازش علائم و داده‌ها. 1397; 15 (3) :59-74
آزمایشگاه ربات‌های خدمت‌رسان پیشرفته، دانشکده علوم و فنون نوین، دانشگاه تهران
چکیده: (4322 مشاهده)
کمتر کسی در دنیای پرتلاطم و پرتنش امروز، با واژه استرس بیگانه است؛ بهطوریکه در برخی مواقع، استرس تبدیل به بخشی از زندگی انسان شده‌است. استرسِ بیش از حد، باعث بروز مشکلاتی می‌شود که علاوهبر اثرات روانی، پیامدهای جسمی بی‌شماری از جمله سکته‌های مغزی، قلبی، فشارخون و غیره را دارد و هیچ عضو یا ارگانی از بدن انسان از تأثیرات آن در امان نیست. هدف این پژوهش، طرّاحی و ساخت دستگاهی است که با استفاده از سیگنال‌های هدایت الکتریکی پوست (GSR) و فتوپلتیسموگرافی (PPG) بتواند میزان استرس فرد را به‌صورت شاخص پیوسته بیان کند. سختافزار این دستگاه مبتنی بر پردازنده ARM و رابط کاربری آن با زبان C++ برنامه‌نویسی شده‌است. به‌منظور سنجش میزان استرس، الگوسازی با استفاده از شبکه عصبی مصنوعی MLP و شبکه فازی-عصبی تطبیقی (ANFIS) انجام، که در بهترین حالت در الگوسازی با ANFIS، دقت %91/92، و میانگین خطای 007/0 حاصل شده‌است.
واژه‌های کلیدی: سیگنال‌های حیاتی، فتوپلتیسموگرافی، هدایت الکتریکی پوست، شبکه عصبی مصنوعی، شبکه فازی-عصبی تطبیقی
نوع مطالعه: پژوهشي |
موضوع مقاله:
مقالات گروه علائم حیاتی ( مرتبط با مهندسی پزشکی)
دریافت: 1396/9/29 | پذیرش: 1397/5/3 | انتشار: 1397/9/28 | انتشار الکترونیک: 1397/9/28
دریافت: 1396/9/29 | پذیرش: 1397/5/3 | انتشار: 1397/9/28 | انتشار الکترونیک: 1397/9/28
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