@conference{Ismail2019516,
title = {A Conceptual Model of Hybrid Monitoring Rehabilitation Progress of Stroke Patients: A Case Study of a Public Tertiary Hospital in Malaysia},
author = {W Ismail and N Zamin and M H Hanafi and A H Mohamad},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066625842&doi=10.1109%2fIEA.2019.8714999&partnerID=40&md5=beaa950fafbef33949c620e1f27a4dbc},
doi = {10.1109/IEA.2019.8714999},
isbn = {9781728108513},
year = {2019},
date = {2019-01-01},
journal = {2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019},
pages = {516-520},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Rehabilitation in healthcare systems provides therapy and training to restore quality life after certain illness, addiction or accident. Currently, there is a significant unmet need for rehabilitation services, and it is frequently undervalued in the health system. As populations age and the prevalence of noncommunicable diseases and injuries increases, and the demand for rehabilitation grows, strengthening rehabilitation in health systems becomes ever more paramount. Conventional rehabilitation service can be costly and time consuming to people not living near the rehabilitation centres. Often people with lower income who live in rural areas refuse rehabilitation services due to the logistic issue. On the other hand, in urban areas, most people are too busy with their daily activities and unable to keep their therapy schedule consistently. In consequence, patients do not enjoy the actual benefit of rehabilitation because of a certain limitation such as cost and time. These limitations can be surpassed by putting telerehabilitation, an emerging area of performing rehabilitation medical treatment with the use of technology from a distance into practice. Scientific studies of telerehabilitation in the current literature are discussing primarily in the area of readiness, technologies, and illnesses such as children autism and heart failure. However, there is limited evidence about telerehabilitation service for stroke patients, concentrating on the pre-implementation and implementation stages, which makes this paper viable and significant, potentially for telerehabilitation implementation in Malaysia. This paper proposes a new conceptual model of hybrid telerehabilitation that combines several technological principles, such as cloud, virtual reality, and computer-based system. The model was derived based on a study of a public tertiary hospital in Malaysia. The current traditional system was investigated and discussed. A new telerehabilitation model is proposed to widen the access for rehabilitation to patients of all ages. © 2019 IEEE.},
note = {cited By 0},
keywords = {Architecture, Clouds, Computer-Based System, Diseases, Distributed Computer Systems, Health Care System, Hospitals, Non-Communicable Disease, Patient Rehabilitation, Rehabilitation Services, Scientific Studies, Stroke Patients, Telerehabilitation, Traditional Systems, Virtual Reality},
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}
}