نوع مقاله : مقاله کامل پژوهشی

نویسنده

استادیار، گروه مهندسی پزشکی، دانشکده‌ی فنی، دانشگاه آزاد اسلامی، واحد تهران مرکزی، تهران، ایران

10.22041/ijbme.2020.124843.1591

چکیده

نتایج حاصل از تحقیقات قبلی نشان می­دهد که حرکات چشم افراد مبتلا به اختلال نقص توجه-بیش­فعالی (ADHD) و افراد سالم با هم متفاوت است. در نتیجه این امکان وجود دارد که بین سیگنال­های الکترواکولوگرام (EOG) دو گروه نیز تفاوت وجود داشته باشد. از این­رو در تحقیق حاضر، سیگنال­های EOG ثبت شده از 30 کودک مبتلا به ADHD و 30 کودک سالم در هنگام انجام یک فعالیت مرتبط با توجه، مورد بررسی قرار گرفته است. بدین منظور، نمای مقیاس­بندی سیگنال­های EOG دو گروه محاسبه شده، تفاوت دو گروه با استفاده از آزمون­های آماری بررسی شده و سپس سیگنال­های EOG دو گروه با استفاده از شبکه‌ی Growing Neural Gas طبقه‌بندی شده است. نتایج به دست آمده نشان می­دهد که نمای مقیاس­بندی سیگنال­های EOG کودکان مبتلا به ADHD در مقایسه با کودکان سالم به صورت معنی­داری بیش‌تر است (001/0p <). این نتیجه نشان می­دهد که طیف توان سیگنال­های EOG کودکان مبتلا به ADHD در مقایسه با کودکان سالم، با شیب بیش‌تری کاهش پیدا می­کند. علاوه بر این، سیگنال­های EOG دو گروه با صحت تشخیص 8/2±22/72% از هم تفکیک شده است. نتایج به دست آمده در این تحقیق می­تواند در طراحی یک دوره‌ی درمانی با بیوفیدبک EOG جهت درمان و یا کاهش علایم افراد مبتلا به ADHD مورد استفاده قرار گیرد.  

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Diagnosis of Attention Deficit Hyperactivity Disorder using Detrended Fluctuation Analysis of EOG Signal

نویسنده [English]

  • Nasrin Sho'ouri

Assistant Professor, Biomedical Engineering Group, Faculty of Technology and Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran

چکیده [English]

Previous research has shown that eye movements in people with Attention Deficit Hyperactivity Disorder (ADHD) and healthy people were different, and it is possible that there is a difference between the two groups' EOG signals. Therefore, in the present study, the recorded EOG signals of 30 children with ADHD and 30 healthy children were examined during performing an attentional related task. For this purpose, the scaling exponents of the two groups' EOG signals were calculated and the differences between the two groups were examined using statistical tests. The EOG signals were then classified using a Growing Neural Gas network. The results show that the scaling exponents of the EOG signals in children with ADHD were significantly higher than that of healthy children (p < 0.001). This result shows that the decay slope of power spectrum in ADHD children is more as compared to healthy children. In addition, the EOG signals were classified into two groups with a detection accuracy of 72.22±2.8%. The results of this study could be used to design a course of treatment with EOG biofeedback to treat or reduce the symptoms of people with ADHD.

کلیدواژه‌ها [English]

  • EOG
  • ADHD
  • DFA
  • Scaling Exponent
  • Growing Neural Gas
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