List of Publications
There are numbers of autism related research can be found in Malaysia that generally focus on the ASD, learning disorder, communication aids, therapy and many more. The list of publications is provided below:
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2019 |
Ismail, W; Zamin, N; Hanafi, M H; Mohamad, A H Institute of Electrical and Electronics Engineers Inc., 2019, ISBN: 9781728108513, (cited By 0). Abstract | Links | BibTeX | Tags: 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 @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} } 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. |
Khowaja, K; Salim, S S; Asemi, A; Ghulamani, S; Shah, A Universal Access in the Information Society, 2019, ISSN: 16155289, (cited By 2). Abstract | Links | BibTeX | Tags: Augmented Reality, Autism Spectrum Disorders, Children with Autism, Computer Aided Instruction, Decoding, Diseases, Language Comprehensions, Maintenance, Mammals, Multi-Modal Interfaces, Post Interventions, Reading Comprehension, Serious Games, Spectrum Analysis, Transfer Information, Virtual Learning Environments, Virtual Reality @article{Khowaja2019c, title = {A systematic review of modalities in computer-based interventions (CBIs) for language comprehension and decoding skills of children with autism spectrum disorder (ASD)}, author = {K Khowaja and S S Salim and A Asemi and S Ghulamani and A Shah}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062722488&doi=10.1007%2fs10209-019-00646-1&partnerID=40&md5=7ff6d03104bfe1e04f6b069b265f671a}, doi = {10.1007/s10209-019-00646-1}, issn = {16155289}, year = {2019}, date = {2019-01-01}, journal = {Universal Access in the Information Society}, publisher = {Springer Verlag}, abstract = {This paper presents a systematic review of the literature on the modalities used in computer-based interventions (CBIs) and the impact of using these interventions in the learning, generalisation, and maintenance of language comprehension and decoding skills for children with autism spectrum disorder (ASD), ending with an appraisal of the certainty of evidence. Despite the importance of both skills in the reading comprehension and overall learning, a limited number of studies have been found. These include seven studies on language comprehension and seven studies on decoding. The shortlisted studies were analysed and a very limited number of modalities were found to have been used; text, graphics, audio, video, and mouse movement are used in all the studies and are termed basic modalities. Statistical analysis was also conducted on three parameters: (1) outcome of the study; (2) generalisation; and (3) maintenance. The analysis showed that CBIs were effective in facilitating these children’s learning; there was a significant improvement in the performance of children from the baseline to during and the post-intervention period. The analysis of generalisation has revealed positive results, indicating that the children were able to transfer information to a different setting or situation. Positive results are also noted from the analysis of maintenance, which indicate that the children retained information following the withdrawal of intervention. The combination of teachers’ instructions and CBI has provided better results than using either of them separately. This study has discovered 23 potential modalities and 2 potential CBIs including serious games and virtual learning environments that can be explored for language comprehension and decoding skills. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.}, note = {cited By 2}, keywords = {Augmented Reality, Autism Spectrum Disorders, Children with Autism, Computer Aided Instruction, Decoding, Diseases, Language Comprehensions, Maintenance, Mammals, Multi-Modal Interfaces, Post Interventions, Reading Comprehension, Serious Games, Spectrum Analysis, Transfer Information, Virtual Learning Environments, Virtual Reality}, pubstate = {published}, tppubtype = {article} } This paper presents a systematic review of the literature on the modalities used in computer-based interventions (CBIs) and the impact of using these interventions in the learning, generalisation, and maintenance of language comprehension and decoding skills for children with autism spectrum disorder (ASD), ending with an appraisal of the certainty of evidence. Despite the importance of both skills in the reading comprehension and overall learning, a limited number of studies have been found. These include seven studies on language comprehension and seven studies on decoding. The shortlisted studies were analysed and a very limited number of modalities were found to have been used; text, graphics, audio, video, and mouse movement are used in all the studies and are termed basic modalities. Statistical analysis was also conducted on three parameters: (1) outcome of the study; (2) generalisation; and (3) maintenance. The analysis showed that CBIs were effective in facilitating these children’s learning; there was a significant improvement in the performance of children from the baseline to during and the post-intervention period. The analysis of generalisation has revealed positive results, indicating that the children were able to transfer information to a different setting or situation. Positive results are also noted from the analysis of maintenance, which indicate that the children retained information following the withdrawal of intervention. The combination of teachers’ instructions and CBI has provided better results than using either of them separately. This study has discovered 23 potential modalities and 2 potential CBIs including serious games and virtual learning environments that can be explored for language comprehension and decoding skills. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. |
2015 |
Perhakaran, G; Yusof, A M; Rusli, M E; Yusoff, M Z M; Mahidin, E M M; Mahalil, I; Zainuddin, A R R SnoezelenCAVE: Virtual reality CAVE Snoezelen framework for Autism spectrum disorders Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9429 , pp. 443-453, 2015, ISSN: 03029743, (cited By 6). Abstract | Links | BibTeX | Tags: Autism Spectrum Disorders, Caves, Diseases, Hand Motion, Immersive Virtual Reality, Information Science, Interaction Methods, Multi-Sensory, Snoezelen, Virtual Reality, Visual Learning, Voice Recognition Systems @article{Perhakaran2015443, title = {SnoezelenCAVE: Virtual reality CAVE Snoezelen framework for Autism spectrum disorders}, author = {G Perhakaran and A M Yusof and M E Rusli and M Z M Yusoff and E M M Mahidin and I Mahalil and A R R Zainuddin}, editor = {Zaman Jaafar Ali Robinson Shih Velastin Velastin Smeaton Zaman Jaafar Ali Robinson H B A N M P T K S S A F H B A N M P Smeaton A.F. Shih T.K.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84950115637&doi=10.1007%2f978-3-319-25939-0_39&partnerID=40&md5=23b64839de074c47ecfc4836f8168f1b}, doi = {10.1007/978-3-319-25939-0_39}, issn = {03029743}, year = {2015}, date = {2015-01-01}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {9429}, pages = {443-453}, publisher = {Springer Verlag}, abstract = {Autism Spectrum Disorder has become broadly recognized around the world, and Snoezelen (i.e. multi-sensory room) is one of the methods that provides therapy for Autism Spectrum Disorder. This paper presents a system proposal of a new technique called “SnoezelenCAVE” that relies on immersive virtual reality technology. In this “SnoezelenCAVE”, a Multi-sensory environment will be developed in a CAVE setup. It includes an integration of hand motion device and voice recognition system. This proposed designs will focus on virtual environments stimulating visual learning, auditory techniques and natural free hand interaction method in relaxing virtual environments. © Springer International Publishing Switzerland 2015.}, note = {cited By 6}, keywords = {Autism Spectrum Disorders, Caves, Diseases, Hand Motion, Immersive Virtual Reality, Information Science, Interaction Methods, Multi-Sensory, Snoezelen, Virtual Reality, Visual Learning, Voice Recognition Systems}, pubstate = {published}, tppubtype = {article} } Autism Spectrum Disorder has become broadly recognized around the world, and Snoezelen (i.e. multi-sensory room) is one of the methods that provides therapy for Autism Spectrum Disorder. This paper presents a system proposal of a new technique called “SnoezelenCAVE” that relies on immersive virtual reality technology. In this “SnoezelenCAVE”, a Multi-sensory environment will be developed in a CAVE setup. It includes an integration of hand motion device and voice recognition system. This proposed designs will focus on virtual environments stimulating visual learning, auditory techniques and natural free hand interaction method in relaxing virtual environments. © Springer International Publishing Switzerland 2015. |
2014 |
Bhat, S; Acharya, U R; Adeli, H; Bairy, G M; Adeli, A Autism: Cause factors, early diagnosis and therapies Journal Article Reviews in the Neurosciences, 25 (6), pp. 841-850, 2014, ISSN: 03341763, (cited By 52). Abstract | Links | BibTeX | Tags: 4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide @article{Bhat2014841, title = {Autism: Cause factors, early diagnosis and therapies}, author = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925284617&doi=10.1515%2frevneuro-2014-0056&partnerID=40&md5=caaa32e66af70e70ec325241d01564c9}, doi = {10.1515/revneuro-2014-0056}, issn = {03341763}, year = {2014}, date = {2014-01-01}, journal = {Reviews in the Neurosciences}, volume = {25}, number = {6}, pages = {841-850}, publisher = {Walter de Gruyter GmbH}, abstract = {Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH.}, note = {cited By 52}, keywords = {4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide}, pubstate = {published}, tppubtype = {article} } Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH. |