2012 |
Penjagaan, P R P; Pirapaharan, K; bazar, S A; Ismail, R; Liyanage, D L D A; Senanayake, S S H M U L; Penjagaan, S R H Autisme, EEG and brain electromagnetics research Persidangan 2012, ISBN: 9781467316668, (dipetik oleh 11). Abstrak | Pautan | BibTeX | Tag: Kejuruteraan Bioperubatan, Otak, Brain Regions, Ketepatan Pengelasan, Penyakit, EEG Signals, Electromagnetic Signals, Electromagnetics, Electromagnetism, Domain Kekerapan, International Group, Multilayer Perception Neural Networks, Neuroimaging, Analisis Komponen Utama @ persidangan{Hoole2012541, tajuk = {Autisme, EEG and brain electromagnetics research}, pengarang = {P R P Hoole and K Pirapaharan and S A Basar and R Ismail and D L D A Liyanage and S S H M U L Senanayake and S R H Hoole}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876771339&doi=10.1109%2fIECBES.2012.6498036&rakan kongsi = 40&md5=9f9390b30b859a90936c66699c1a5115}, doi = {10.1109/IECBES.2012.6498036}, isbn = {9781467316668}, tahun = {2012}, tarikh = {2012-01-01}, jurnal = {2012 Persidangan IEEE-EMBS mengenai Kejuruteraan dan Sains Bioperubatan, IECBES 2012}, halaman = {541-543}, abstrak = {There has been a significant increase in the incidence of autism. We report the work on autism by our international group, on the growing attention paid to EEG based diagnosis and the interest in tracing EEG changes to brain electromagnetic signals (BEMS), seeking the cause of autism and the brain regions of its origin. The time- and frequency domain and principal component analysis (PCA) of these EEG signals with a Multilayer Perception Neural Network (MLP) identifies an autistic subject and helps improve classification accuracy. We show differences between a working brain and a relaxed brain, especially in the Alpha waves used for diagnosis. © 2012 IEEE.}, nota = {dipetik oleh 11}, kata kunci = {Kejuruteraan Bioperubatan, Otak, Brain Regions, Ketepatan Pengelasan, Penyakit, EEG Signals, Electromagnetic Signals, Electromagnetics, Electromagnetism, Domain Kekerapan, International Group, Multilayer Perception Neural Networks, Neuroimaging, Analisis Komponen Utama}, pubstate = {diterbitkan}, tppubtype = {persidangan} } There has been a significant increase in the incidence of autism. We report the work on autism by our international group, on the growing attention paid to EEG based diagnosis and the interest in tracing EEG changes to brain electromagnetic signals (BEMS), seeking the cause of autism and the brain regions of its origin. The time- and frequency domain and principal component analysis (PCA) of these EEG signals with a Multilayer Perception Neural Network (MLP) identifies an autistic subject and helps improve classification accuracy. We show differences between a working brain and a relaxed brain, especially in the Alpha waves used for diagnosis. © 2012 IEEE. |
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2012 |
Autisme, EEG and brain electromagnetics research Persidangan 2012, ISBN: 9781467316668, (dipetik oleh 11). |