نوع مقاله: مقاله کامل پژوهشی

نویسندگان

1 دانشجوی دکتری ، دانشکده مهندسی پزشکی، دانشگاه آزاد اسلامی واحد علوم و تحقیقات

2 دانشیار، دانشکده مهندسی پزشکی، دانشگاه شاهد

3 استاد، گروه فیزیک پزشکی، دانشگاه تربیت مدرس

10.22041/ijbme.2013.13088

چکیده

در این تحقیق به بررسی سیگنالهای الکتروانسفالوگرام در احساسات مثبت، منفی و خنثی پرداخته شده است. در این پژوهش، فرض شده است که مغز دارای منابع مستقل مختلفی در هنگام هر فعالیت احساسی بوده که این منابع توسط الگوریتم پردازش مولفه های مستقل  (ICA) قابل مشاهده خواهند بود. برای غلبه بر مشکل نامشخص بودن ترتیب مولفه های استخراج شده در الگوریتم ICA ابتدا با استفاده از آنتروپی شانون، این منابع مرتب و سپس از روی این منابع مرتب شده، ویژگی های بعد فراکتالی Katz و اولین محل کمینه شدن اطلاعات متقابل بر حسب تاخیر به عنوان نمایش دهنده های تعین استخراج شده اند. نتایج نشان می دهد که میزان تعین منابع مرتب شده دارای اختلاف معنی داری در طول زمان و در سه حالت احساسی مثبت، منفی و خنثی می باشد. میزان تعین در حالت های احساسی خنثی، منفی و مثبت به ترتیب افزایش می یابد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Investigation of Positive, Negative and Neutral Emotion’s determinism through EEG signal processing in extracted component of ICA

نویسندگان [English]

  • Mehdi Abdossalehi 1
  • Ali Motie Nasrabadi 2
  • Seyed Mohammad Firouzabadi 3

1 Phd Student, Faculty of biomedical Engineering, Islamic Azad University, science and Research Branch

2 Associate Professor, Biomedical Engineering Group, Shahed University

3 Biomedical Engineering Group, Tarbiat Modarres University

چکیده [English]

In this study, electroencephalogram (EEG) signals have been analyzed in positive, negative and neutral emotions. Here it is supposed that the brain has different independent sources during an emotional activity which will be extractable by Independent Component Analysis (ICA) algorithm. For resolving the illposeness problem of extracted components by ICA algorithm, first these sources were sorted by Shannon entropy and then the features of Katz fractal dimension and the first local minimum of the mutual information based on the time delay (tau) have been extracted for representing determinism. The results show that the determinism ratio of the sorted sources has significant difference during the time in three emotional states: positive, negative and neutral. The determinism ratio increases in neutral, negative and positive emotional states, respectively.

کلیدواژه‌ها [English]

  • emotion
  • EEG
  • ICA
  • mutual information
  • Katz Fractal dimension

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