@article{Yap2019498,
title = {App4Autism: An integrated assistive technology with heart rate monitoring for children with autism},
author = {C Y Yap and K H Ng and Y Cheah and S Y Lim and J Price and M De Vries},
editor = {Ahmad Smeaton Shih Velastin Terutoshi M N A F T K S T Badioze Zaman H. Mohamad Ali N.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077911902&doi=10.1007%2f978-3-030-34032-2_44&partnerID=40&md5=6b173ff9add01d06fd0682db52f48d7b},
doi = {10.1007/978-3-030-34032-2_44},
issn = {03029743},
year = {2019},
date = {2019-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {11870 LNCS},
pages = {498-512},
publisher = {Springer},
abstract = {Autism Spectrum Disorder (ASD) is a neurological development disorder that affects communication and behavior. Most assistive technologies for children with autistic traits have been designed to support single, targeted activity function such as learning and communication. In this paper, we report the design and development of an assistive mobile application with heart rate monitoring to help children with ASD in their daily life activities. The integrated mobile application, App4Autism was developed using a holistic design approach with the aim of enhancing communication, interaction and learning skills while providing emotion regulation support through music listening and heart rate monitoring. A novel focus of App4Autism is on noise sensitivity; to play music upon automatic detection of loud excessive noise (in decibel) while at the same time, monitoring the user’s heart rate using a pulse sensor. The paper focuses on a study to better understand the potential use and incorporation of music listening and heart rate/anxiety level monitoring in the app. The paper provides results of investigation into which music genre is more suitable to keep users calm. Initial experiment involved a general population sample; with results showing that personal music preference might have calming effects on users in environments with excessive background noise. We further expand on the design guidelines for creating an integrated assistive technology. © Springer Nature Switzerland AG 2019.},
note = {cited By 0},
keywords = {Assistive Technology, Autism, Diseases, Early Childhoods, Heart, Heart Rate Monitoring, Mobile Applications, Mobile Computing, Patient Monitoring},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000444996500092,
title = {A Review on Using Assistive Technology to Enhance Social Skills Competence Among Children with Autism Spectrum Disorder (ASD)},
author = {Zuraida Ibrahim and Maizam Alias},
doi = {10.1166/asl.2018.11582},
issn = {1936-6612},
year = {2018},
date = {2018-06-01},
journal = {ADVANCED SCIENCE LETTERS},
volume = {24},
number = {6},
pages = {4250-4254},
publisher = {AMER SCIENTIFIC PUBLISHERS},
address = {26650 THE OLD RD, STE 208, VALENCIA, CA 91381-0751 USA},
organization = {Univ Teknologi Malaysia, Int Student Soc; Int Students Ctr; Univ Teknologi Malaysia, Inst Sultan Iskandar},
abstract = {This paper is intended to explore published reports, journals and
articles concerning the implementation of Special Education in Malaysia.
The literature review targets the Malaysian education system, focusing
on students with special education need (SEN); in particular students
with Autism Spectrum Disorder (ASD) in an attempt to describe the
current state of understanding on current issues and gaps that lies
within them. Specifically, the objectives of this review are to (a)
identify effective intervention for ASD children, (b) identify
appropriate domains for social skills competence, and (c) to make
suggestions for future research. A narrative review was conducted on
available literature to provide the explanations on existing knowledge
related to the Malaysian education system, special education, ASD,
teaching and learning approach for ASD children and effective
intervention for ASD children. The findings from the narrative review
indicate that inadequate social interaction is the main factor
contributing to social skills deficit in ASD children in special
education. The skills deficit consequently leads to problems with
educators, peers, incompetence for independent living and lack of
acceptance by society. The majority of literature makes recommendations
on the implementation of assistive technology for skills enhancement.
Furthermore, social interaction, social communication, social emotional
and social behaviour were identified as domains for social skills
competence in ASD children. Overall, the finding from the narrative
review provides some support for conducting future research on the
implementation of assistive technology in early intervention to enhance
the teaching and learning process of social skills competence among ASD
children.},
note = {International Conference on Science, Engineering, Management and Social
Sciences (ICSEMSS), Univ Teknologi Malaysia, Johor Bahru, MALAYSIA, OCT
06-08, 2016},
keywords = {Assistive Technology, Autism Spectrum Disorders, Early Intervention, Social Skills Competence},
pubstate = {published},
tppubtype = {article}
}

@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}
}