Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

Separating the Healthy and ADHD People in Childhood and Adulthood using the EEG Phase Space Sorted by the Radial Poincare Sections

Document Type : Full Research Paper

Authors

Behnaz Sheikholeslami 1
Ghasem Sadeghi Bajestani 2
Reza Yaghoobi Karimui 3
Reyhaneh Zarifiyan 1

1 M.Sc., Department of Medical Engineering, Faculty of Engineering, Imam Reza International University, Mashhad, Iran

2 Assistant Professor, Department of Medical Engineering, Faculty of Engineering, Imam Reza International University, Mashhad, Iran

3 Ph.D ., Department of Medical Engineering, Faculty of Engineering, Imam Reza International University, Mashhad, Iran

https://doi.org/10.22041/ijbme.2021.138631.1634
Abstract
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that can affect people of all ages in the community, especially children, and cause changes in their behavior. Previous studies have often focused on frequency domain processing or the nonlinear dynamic aspects of EEG signals such as correlation dimension, fractal dimension, Lyapunov exponent, entropy, and recurrence rate of brain processes to differentiate individuals with ADHD. In this study, we evaluate the volume of the EEG signal oscillation basin using Poincare sections in the phase space of EEG signals of people with ADHD and healthy people and sort this space as well as extract various geometric features. We present a different perspective of complexity of brain activity and the level of dynamism of people with ADHD compared to healthy individuals. Finally, by evaluating the extracted features and using the SFS algorithm based on the RBF-SVM classifier, we were able to separate people with ADHD from healthy people in the groups of children and adults, with accuracy of 93.20±2.04 and 95.60±1.13. The results of this study showed that the volume of the EEG signal oscillation basin in people with ADHD was significantly higher than healthy people, which indicates an increase in the degree of dynamism and thus a decrease in the complexity of brain activity in these people. It was also identified in this study that the increase in the volume of the EEG signal oscillation basin in children is more than adults, which indicates an increase in the level of dynamism of children compared to adults. Therefore, ADHD and age can be introduced as two important factors in changing the volume of the EEG signal oscillation basin.

Keywords

Electroencephalogram
Poincare Section
Complexity
Dynamism
Oscillation Basin
ADHD

Subjects

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Iranian Journal of Biomedical Engineering (IJBME)
Volume 15, Issue 1
Spring 2021
Pages 29-46

  • Receive Date 26 October 2020
  • Revise Date 28 March 2021
  • Accept Date 31 March 2021

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