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:: Volume 9, Issue 3 (Journal of Control, V.9, N.3 Fall 2015) ::
JoC 2015, 9(3): 19-36 Back to browse issues page
Extraction of dynamic variations in electroencephalogram signal pattern of autistic children using Poincare section
Sadeghi Sadeghi Bajestani * 1, Ali Sheykhani , Seyed mohammad reza Hashemi , Farah Ashrafzadeh , Paria Hebrani
Abstract:   (2459 Views)

Abstract: I most psycho-biological processes, great deal of nonlinear and dynamically complex behaviors are recorded which arise from interactions among numerous subsystems and processes –mostly with unknown behaviors-. Poincare section is one of the tools used not only for analysis of these systems, but also to control nonlinear systems; chaotic and uncertain. Albeit it has been long ago before introduction of Poincare section, but yet its stages are carried out artistically and heuristically.

Yet, it is not possible to “machine learn” based on Poincare section due to unstructured implementation method and problems like uncertain structures and modeling parameters. In this paper, first, modeling -using Poincare section- is explained, then based on the occurred events and the concepts “information” and “relativism”, variations in brain pattern of Autistic children will be diagnosed using Poincare section and informative approach.

Autism spectrum disorder is a revolutionary stage of brain diagnosed by deficiency in communications and social interactions as well as repetitive patterns in behavior, favorites and activities, called Autism in short. Autism in our point of view has an informative essence, in other words the main problem in Autism spectrum disorder origins from communication networks in brain that can lead to secondary problems over time. Is this paper, a new representations called “developed complementary representation” is introduced.

The most important characteristic of this representation is its special attention to signal phase as latent information in signal and effortlessness of energy. All the newly introduced concepts are implemented on electroencephalograph signal of Autistic children which has always been cumbersome to be recorded. This paper has focused on 45 case including 30 Autistic children and 15 healthy ranging from 3-10 years in three different stages; asleep, opened eyes and a state-of-art recording procedure based on brain dynamics and the proposed protocol presented by authors which is destitute of well-known problems of other recording procedures. Results show the presence of a common dynamic pattern in Autistic cased which is entirely different from healthy cases. This pattern variation is introduced in 16 different characteristics which are not related to electroencephalograph’s energy but to arrangement of section point on Poincare section (called “event”).

Keywords: Keywords: Information, Cybernetic, Poincare Section, Electroencephalogram, Autism Spectrum Disorder, Phase Space Reconstruction, Extended Complementary Plot
Full-Text [PDF 1542 kb]   (1020 Downloads)    
Type of Study: Research | Subject: Special
Received: 2015/02/12 | Accepted: 2016/05/19 | Published: 2016/05/19
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sadeghi Bajestani S, Sheykhani A, Hashemi S M R, Ashrafzadeh F, Hebrani P. Extraction of dynamic variations in electroencephalogram signal pattern of autistic children using Poincare section. JoC. 2015; 9 (3) :19-36
URL: http://joc.kntu.ac.ir/article-1-199-en.html


Volume 9, Issue 3 (Journal of Control, V.9, N.3 Fall 2015) Back to browse issues page
مجله کنترل Journal of Control
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