Neural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, social behaviors and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for detection and estimation of the degree of ASD. Presents applications of Neural Engineering and other Machine Learning techniques for the diagnosis of Autism Spectrum Disorder (ASD) Includes in-depth technical coverage of imaging and signal analysis techniques, including coverage of functional MRI, neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, and neuroanatomy of autism Covers Signal Analysis for the detection and estimation of Autism Spectrum Disorder (ASD), including brain signal analysis, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals for ASD Written to help engineers, computer scientists, researchers and clinicians understand the technology and applications of Neural Engineering for the detection and diagnosis of Autism Spectrum Disorder (ASD)

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  • Author : Ayman S. El-Baz
  • Publisher : Academic Press
  • Pages : 400 pages
  • ISBN : 0128230657
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKNeural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering Techniques for Autism Spectrum Disorder
  • Author : Ayman S. El-Baz,Jasjit S. Suri
  • Publisher : Academic Press
  • Release : 16 July 2021
GET THIS BOOKNeural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, social behaviors and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics, feature selection,

Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2

Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2
  • Author : Jasjit S. Suri,Ayman S. El-Baz
  • Publisher : Academic Press
  • Release : 15 October 2022
GET THIS BOOKNeural Engineering Techniques for Autism Spectrum Disorder, Volume 2

Neural Engineering for Autism Spectrum Disorder, Volume 2: Diagnosis and Treatment presents the latest advances in neural engineering and biomedical engineering applied to clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, magnetic resonance spectroscopy, sMRI, fMRI, DTI, and video analysis of sensory-motor and social behaviors and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics,

Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering
  • Author : Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
  • Publisher : Academic Press
  • Release : 12 November 2020
GET THIS BOOKHandbook of Deep Learning in Biomedical Engineering

Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been

International Conference for Innovation in Biomedical Engineering and Life Sciences

International Conference for Innovation in Biomedical Engineering and Life Sciences
  • Author : Fatimah Ibrahim,Juliana Usman,Mas Sahidayana Mohktar,Mohd Yazed Ahmad
  • Publisher : Springer
  • Release : 26 November 2015
GET THIS BOOKInternational Conference for Innovation in Biomedical Engineering and Life Sciences

This volumes presents the proceedings of ICIBEL 2015, organized by the Centre for Innovation in Medical Engineering (CIME) under Innovative Technology Research Cluster, University of Malaya. It was held in Kuala Lumpur, Malaysia, from 6-8 December 2015. The ICIBEL 2015 conference promotes the latest researches and developments related to the integration of the Engineering technology in medical fields and life sciences. This includes the latest innovations, research trends and concerns, challenges and adopted solution in the field of medical engineering and life sciences.

Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder

Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder
  • Author : Kautish, Sandeep,Dhiman, Gaurav
  • Publisher : IGI Global
  • Release : 25 June 2021
GET THIS BOOKArtificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder

Autism spectrum disorder (ASD) is known as a neuro-disorder in which a person may face problems in interaction and communication with people, amongst other challenges. As per medical experts, ASD can be diagnosed at any stage or age but is often noticeable within the first two years of life. If caught early enough, therapies and services can be provided at this early stage instead of waiting until it is too late. ASD occurrences appear to have increased over the last

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies
  • Author : Gupta, Shweta
  • Publisher : IGI Global
  • Release : 11 February 2022
GET THIS BOOKBio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies

As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms

Education and Technology Support for Children and Young Adults With ASD and Learning Disabilities

Education and Technology Support for Children and Young Adults With ASD and Learning Disabilities
  • Author : Kats, Yefim,Stasolla, Fabrizio
  • Publisher : IGI Global
  • Release : 13 November 2020
GET THIS BOOKEducation and Technology Support for Children and Young Adults With ASD and Learning Disabilities

Among the disabilities covered at the state and federal levels, autism and related conditions are a sharply growing diagnostic category among children and young adults. In education, administrators and practitioners working with affected learners are continually faced with confronting difficult problems such as getting adequate personnel training and choosing appropriate tools and techniques that best fit the specific needs of their students while at the same time satisfying their budget, technical resources, curriculum, and profile of the ASD population they

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
  • Author : Basant Agarwal,Valentina Emilia Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma
  • Publisher : Academic Press
  • Release : 14 January 2020
GET THIS BOOKDeep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they

Application of Biomedical Engineering in Neuroscience

Application of Biomedical Engineering in Neuroscience
  • Author : Sudip Paul
  • Publisher : Springer Nature
  • Release : 19 November 2019
GET THIS BOOKApplication of Biomedical Engineering in Neuroscience

This book focuses on interdisciplinary research in the field of biomedical engineering and neuroscience. Biomedical engineering is a vast field, ranging from bioengineering to brain-computer interfaces. The book explores the system-level function and dysfunction of the nervous system from scientific and engineering perspectives. The initial sections introduce readers to the physiology of the brain, and to the biomedical tools needed for diagnostics and effective therapies for various neurodegenerative and regenerative disorders. In turn, the book summarizes the biomedical interventions that

Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices

Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices
  • Author : Singh, Ajay,Yeh, Chia Jung,Blanchard, Sheresa,Anunciação, Luis
  • Publisher : IGI Global
  • Release : 23 April 2021
GET THIS BOOKHandbook of Research on Critical Issues in Special Education for School Rehabilitation Practices

Rehabilitation professionals working with students with disabilities and the families of those students face unique challenges in providing inclusive services to special education student populations. There needs to be a focus on adaptive teaching methods that provide quality experience for students with varying disabilities to promote student success and inclusivity. Critical issues within these practices span autism, diverse students, gifted education, learning disabilities, behavioral and emotional disorders, and more. With having many different types of students with vastly different situations,

Autism Spectrum Disorder in the First Years of Life

Autism Spectrum Disorder in the First Years of Life
  • Author : Katarzyna Chawarska,Fred R. Volkmar
  • Publisher : Guilford Publications
  • Release : 04 August 2020
GET THIS BOOKAutism Spectrum Disorder in the First Years of Life

Synthesizing an explosion of recent research, this book presents dramatic advances in understanding and treating autism spectrum disorder (ASD) in very young children. Leading authorities describe the innovative tools and methods that are enabling clinicians to more effectively identify 0- to 5-year-olds with the disorder and those at risk for related problems. Chapters discuss the early core symptoms and co-occurring characteristics of ASD, the best diagnostic instruments, and lessons learned from large-scale screening and surveillance, including sibling studies. The book

Biomedical Engineering and Neuroscience

Biomedical Engineering and Neuroscience
  • Author : Wojciech P. Hunek,Szczepan Paszkiel
  • Publisher : Springer
  • Release : 06 February 2018
GET THIS BOOKBiomedical Engineering and Neuroscience

This edition of the volume ‘Advances in Intelligent Systems and Computing’ presents the proceedings of the 3rd International Scientific Conference BCI. The event was held at Opole University of Technology in Poland on 13 and 14 March 2018. Since 2014 the conference has taken place every two years at the University’s Faculty of Electrical Engineering, Automatic Control and Informatics. The conference focused on the issues relating to new trends in modern brain–computer interfaces (BCI) and control engineering, including neurobiology–neurosurgery, cognitive science–

Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering
  • Author : Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
  • Publisher : Academic Press
  • Release : 01 December 2020
GET THIS BOOKHandbook of Deep Learning in Biomedical Engineering

Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of DL and its applications in the field of biomedical engineering. DL has been rapidly developed in