@conference{Shams2013,
title = {Source-temporal-features for detection EEG behavior of autism spectrum disorder},
author = {W K Shams and A Wahab},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879037124&doi=10.1109%2fICT4M.2013.6518913&partnerID=40&md5=db31715811e1e8fdf62c9d61daf8e6f6},
doi = {10.1109/ICT4M.2013.6518913},
isbn = {9781479901340},
year = {2013},
date = {2013-01-01},
journal = {2013 5th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2013},
abstract = {This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 to 9) years and ASD subjects match group. Time Difference of Arrival (TDOA) approach was applied with EEG data raw for feature extracted at time domain. The neural network, Multilayer Perception (MLP) was used to distinguish between the two groups during the two tasks. Results show significant accuracy around 98% for both tasks and clearly discriminate for the features in z-dimension his electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. © 2013 IEEE.},
note = {cited By 1},
keywords = {ASD, Autism Spectrum Disorders, Brain Activity, Children with Autism, Classification (of information), Communication, Diseases, Electroencephalography, Electronic Document, Information Technology, Multi-Layer Perception, Temporal Features, Time Difference of Arrival},
pubstate = {published},
tppubtype = {conference}
}

@conference{Abdullah2012144,
title = {Perinatal, maternal and antenatal associated factors for autism: A case control study},
author = {M N Abdullah and W M Z W Mohamad and M R Abdullah and M J Yaacob and M S Baharuddin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876762294&doi=10.1109%2fIECBES.2012.6498121&partnerID=40&md5=b14466b2341cc29599332d94d866ea9a},
doi = {10.1109/IECBES.2012.6498121},
isbn = {9781467316668},
year = {2012},
date = {2012-01-01},
journal = {2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012},
pages = {144-148},
abstract = {Autism disorders are a group of neurodevelopmental disorders which characterized into three main domains which are social interaction impairment, communication delay and repetitive or stereotypic behavior. Many studies had suggested that the risk factors for autism derive from three big factors namely environmental factors, genetic predisposition and vaccine induced. The aim of this study was to investigate the perinatal, maternal and antenatal associated factors on autistic disorder children at Hospital Pulau Pinang and Hospital Bukit Mertajam, Pulau Pinang. A case control study involving 312 cases and control was conducted using data retrieved from hospital records at Pulau Pinang hospital and Bukit Mertajam hospital from 2001 to 2008. The departments involved were Psychiatric, Obstetrics and Gynecology and Record and Management Department. All cases which met the inclusion and exclusion criteria were included in the study. Univariable and multivariable logistic regression were used to explore the perinatal, maternal and antenatal associated factors associated with autistic disorder children. There were seven associated factors contributed most to autistic disorder determination. The factors were maternal age [Adjusted Odds Ratio (OR): 1.41; 95% Confidence Interval (CI): (1.27, 1.57)], maternal smoking reported at first antenatal visit [Adjusted OR: 13.61; 95% CI: (1.87, 99.35)], birth asphyxia [Adjusted OR: 0.35; 95% CI: (0.11, 1.08)], psychiatric history [Adjusted OR: 54.94; 95% CI: (12.07, 250.04)], multiple gestation [Adjusted OR: 4.81; 95% CI: (1.86, 12.45)], parity for more than 4 [Adjusted OR: 0.11; 95% CI: (0.03, 0.47)], parity between 0 and 1 [Adjusted OR: 0.19; 95% CI: (0.07,0.55)], Chinese race compared to the Malay race [Adjusted OR: 10.11; 95% CI: (3.61, 28.30)] and Indian race compared to the Malay race [Adjusted OR: 5.14; 95% CI: (1.38, 19.16)]. The results suggested that autistic disorders were associated with perinatal, maternal and antenatal factors such as delivery, pregnancy and maternal characteristics. © 2012 IEEE.},
note = {cited By 0},
keywords = {Antenatal, ASD, Autism, Autistic, Biomedical Engineering, Case-Control Studies, Delivery, Diseases, Hospitals, Logistics, Maternal, Obstetrics, Parents, Perinatal, Pregnancy, Prenatal, Retrospective, Risk Factor},
pubstate = {published},
tppubtype = {conference}
}