Attention Deficit Hyperactivity Disorder Diagnosis using non-linear univariate and multivariate EEG measurements: a preliminary study-Reference-Cited by-同舟云学术

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Attention Deficit Hyperactivity Disorder Diagnosis using non-linear univariate and multivariate EEG measurements: a preliminary study

Published:2020-03-27 Issue:2 Volume:43 Page:577-592
ISSN:2662-4729
Container-title:Physical and Engineering Sciences in Medicine
language:en
Short-container-title:Phys Eng Sci Med

Author:

Rezaeezadeh Maryam,Shamekhi Sina,Shamsi Mousa

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s13246-020-00858-3.pdf

Reference40 articles.

1. Lenartowicz A, Loo SK (2014) Use of EEG to diagnose ADHD. Curr Psychiatry Rep 16(11):498

2. Mohammadi MR, Khaleghi A, Nasrabadi AM, Rafieivand S, Begol M, Zarafshan H (2016) EEG classification of ADHD and normal children using non-linear features and neural network. Biomed Eng Lett 6(2):66–73

3. Ghassemi F, Hassan_Moradi M, Tehrani-Doost M, Abootalebi V (2012) Using non-linear features of EEG for ADHD/normal participants’ classification. Procedia Soc Behav Sci 32:148–152

4. Sohn H et al (2010) Linear and non-linear EEG analysis of adolescents with attention-deficit/hyperactivity disorder during a cognitive task. Clin Neurophysiol 121(11):1863–1870

5. Sohn H, Lee W, Kim I, Jeong J (2007) Approximate entropy (ApEn) analysis of the EEG in attention-deficit/hyperactivity disorder (AD/HD) during cognitive tasks. In: 2006 World congress on medical physics and biomedical engineering, Springer, pp 1083–1086

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