ASD Detection using Higuchi’s Fractal Dimension from EEG

Zahrul Jannat Peya, M. Ferdous, M. Akhand, Mohammed Golam Zilani, N. Siddique
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引用次数: 1

Abstract

Autism or Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder marked by repetitive and characteristic patterns of behavior as well as social communication and interaction impairments. Nowadays ASD is a great concern worldwide and its detection is an important issue for the better treatment. As ASD is neurodevelopmental disorder, brain signals play, especially electroencephalography (EEG), is shown potential sources for ASD detection. There are different approaches for ASD detection with processing and/or transforming EEG signals. This study investigated ASD detection employing fractal dimension measure on EEG data. Higuchi’s Fractal Dimension (HFD) is measured in resting-state eyes-closed EEG recording of 25 subjects. It is identified that HFD is sensitive to the brain activity and ASD detection is possible from HFD values.
脑电分形维数检测ASD
自闭症或自闭症谱系障碍(ASD)是一种神经发育障碍,其特征是重复性和特征性的行为模式,以及社会沟通和互动障碍。目前,自闭症谱系障碍在世界范围内受到广泛关注,其检测是更好地治疗自闭症的重要问题。由于ASD是一种神经发育障碍,脑信号特别是脑电图(EEG)被认为是ASD检测的潜在来源。通过处理和/或转换脑电图信号来检测ASD有不同的方法。本研究采用分形维数对脑电图数据进行检测。对25名被试静息状态闭眼脑电图记录进行了Higuchi分形维数(HFD)测量。HFD对大脑活动敏感,可以通过HFD值检测ASD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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