@ persidangan{Sudirman2014626,
tajuk = {Sensory responses of autism via electroencephalography for Sensory Profile},
pengarang = {R Sudirman and S S Hussin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946435600&doi=10.1109%2fICCSCE.2014.7072794&rakan kongsi = 40&md5=3e6f1cfe19eae4fad359d2493aebd7e0},
doi = {10.1109/ICCSCE.2014.7072794},
isbn = {9781479956869},
tahun = {2014},
tarikh = {2014-01-01},
jurnal = {Prosiding - 4th IEEE International Conference on Control System, Pengkomputeran dan Kejuruteraan, ICCSCE 2014},
halaman = {626-631},
penerbit = {Institut Jurutera Elektrik dan Elektronik Inc.},
abstrak = {The aim of this study is to investigate the brain signals of autism children through electroencephalography (LIHAT) 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, rasa, sentuhan, 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. © 2014 IEEE.},
nota = {dipetik oleh 3},
kata kunci = {Autisme, Discrete Wavelet Transforms, Penyakit, Elektroensefalografi, Elektrofisiologi, Analisis Komponen Bebas, International System, Belajar, Analisis Deria, Profil Deria, Sensory Profiling, Rangsangan Deria, Pemprosesan isyarat, Standard Deviation, Paket Wavelet Berubah},
pubstate = {diterbitkan},
tppubtype = {persidangan}
}