DocumentCode :
3582511
Title :
Sensory responses of autism via electroencephalography for Sensory Profile
Author :
Sudirman, R. ; Hussin, S.S.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2014
Firstpage :
626
Lastpage :
631
Abstract :
The aim of this study is to investigate the brain signals of autism children through electroencephalography (EEG) associated to physical tasks. The physical task was meant to stimulate the sensitivity correlation of sensory response of a child. A group of autism children was chosen for this study and were given by five sensory stimulations which are audio, taste, touch, visual and vestibular. The acquisition of brain signals was acquainted using EEG Neurofax 9200 and the electrode positions were using 10-20 International System placements. The preprocessing signals were analyzed using independent component analysis (ICA) using EEGLAB Software and Discrete Wavelet Transform (DWT). The alpha wave was selected by level 6 decomposition and the extracted features represents the characteristic of the sensory task. The means, standard deviations and approximation entropy were extracted on the clean signals and forms into Sensory Profile (Sensory Profiling). From the overall results, the behavior of each autism children has been observed unstable emotion while running the sensory stimulation. The observation also helps to improve their learning strategy for the future work in assessment.
Keywords :
auditory evoked potentials; biomedical electrodes; chemioception; cognition; data acquisition; data analysis; discrete wavelet transforms; electroencephalography; entropy; feature extraction; independent component analysis; medical disorders; medical signal processing; neurophysiology; paediatrics; psychology; source separation; touch (physiological); visual evoked potentials; DWT; EEG Neurofax 9200; EEGLAB software; ICA; International System placement; alpha wave selection; approximation entropy; audio stimulation; autism children behavior; autism children brain signal; brain signal acquisition; child sensory response; discrete wavelet transform; electrode position; electroencephalography; feature extraction; independent component analysis; learning strategy; level 6 decomposition; means; physical task; preprocessing signal analysis; sensitivity correlation; sensory profile; sensory stimulation; sensory task characteristic; standard deviation; taste stimulation; touch stimulation; unstable emotion; vestibular stimulation; visual stimulation; Classification algorithms; Continuous wavelet transforms; Discrete wavelet transforms; Filtering algorithms; Noise; Wavelet analysis; Electroencephalography (EEG); autism; discrete wavelet transform (DWT); independent component analysis (ICA); sensory profile (SP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-5685-2
Type :
conf
DOI :
10.1109/ICCSCE.2014.7072794
Filename :
7072794
Link To Document :
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