Neural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering for Autism Spectrum Disorder, Volume 1: Imaging and Signal Analysis Techniques 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, 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. Neural Engineering for Autism Spectrum Disorder is presented in two volumes. Volume 1 focuses on Medical Imaging and Signal Analysis Techniques for Autism. Presents applications of Neural Engineering and other Machine Learning techniques for 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 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 detection and diagnosis of Autism Spectrum Disorder (ASD).

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  • Author : Ayman S. El-Baz
  • Publisher : Academic Press
  • Pages : 232 pages
  • ISBN : 9780128228227
  • 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 : 15 July 2021
GET THIS BOOKNeural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering for Autism Spectrum Disorder, Volume 1: Imaging and Signal Analysis Techniques 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, 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

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 : 23 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. 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

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.

Biomedical Engineering and Cognitive Neuroscience for Healthcare: Interdisciplinary Applications

Biomedical Engineering and Cognitive Neuroscience for Healthcare: Interdisciplinary Applications
  • Author : Wu, Jinglong
  • Publisher : IGI Global
  • Release : 30 September 2012
GET THIS BOOKBiomedical Engineering and Cognitive Neuroscience for Healthcare: Interdisciplinary Applications

New developments in medical technology have paved the way for the ongoing studies of cognitive neuroscience and biomedical engineering for healthcare. Their different but interconnected aspects of science and technology seek to provide new solutions for difficult healthcare problems and impact the future of the quality of life. Biomedical Engineering and Cognitive Neuroscience for Healthcare: Interdisciplinary Applications brings together researchers and practitioners, including medical doctors and health professionals, to provide an overview of the studies of cognitive neuroscience and biomedical

Control Theory in Biomedical Engineering

Control Theory in Biomedical Engineering
  • Author : Olfa Boubaker
  • Publisher : Academic Press
  • Release : 30 June 2020
GET THIS BOOKControl Theory in Biomedical Engineering

Control Theory in Biomedical Engineering: Applications in Physiology and Medical Robotics highlights the importance of control theory and feedback control in our lives and explains how this theory is central to future medical developments. Control theory is fundamental for understanding feedback paths in physiological systems (endocrine system, immune system, neurological system) and a concept for building artificial organs. The book is suitable for graduate students and researchers in the control engineering and biomedical engineering fields, and medical students and practitioners

Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering
  • Author : Francisco Ortuño,Ignacio Rojas
  • Publisher : Springer
  • Release : 01 April 2015
GET THIS BOOKBioinformatics and Biomedical Engineering

The two volume set LNCS 9043 and 9044 constitutes the refereed proceedings of the Third International Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, held in Granada, Spain in April 2015. The 134 papers presented were carefully reviewed and selected from 268 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases, biomedical engineering, biomedical image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological processes, eHealth, next generation sequencing and sequence analysis, quantitative and systems pharmacology,

Autism Spectrum Disorder

Autism Spectrum Disorder
  • Author : Michael Fitzgerald
  • Publisher : BoD – Books on Demand
  • Release : 02 April 2015
GET THIS BOOKAutism Spectrum Disorder

This book starts with a new sub category of Autism Criminal Autistic Psychopathy and school shootings. It focuses on a number of interventions, including speech and language pathology, speech and language assessment instruments, occupational therapy, improving functional language development in autism with natural gestures, communication boards etc as well as helping people with autism using the pictorial support, training of concepts of significant others, theory of mind, social concepts and a conceptual model for empowering families of children with autism

Autism

Autism
  • Author : Michael Fitzgerald,Jane Yip
  • Publisher : BoD – Books on Demand
  • Release : 12 April 2017
GET THIS BOOKAutism

This book opens with a discussion of neurodiversity and an elaboration of the diagnosis of autism. It then examines factors correlating with autism, including sex bias, month of birth, migration and impact of infant feeding. The next section is on the impact of autism. The neurobiology and genetic section deals with epigenetics and intracellular pathways associated with etiology. The development and behaviour section deals with proprioceptive profiles and joint attention in autism. The final section focuses on interventions including mindfulness,

Nonlinear Modeling

Nonlinear Modeling
  • Author : Johan A.K. Suykens,Joos P.L. Vandewalle
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKNonlinear Modeling

Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation for the classification of acoustic feature vectors in speech recognition; Wavelet-based modeling of nonlinear systems; Nonlinear identification based on fuzzy models; Statistical learning in control and matrix theory; Nonlinear time-series analysis. It also contains the results of the K.U. Leuven time series prediction

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Biomedical Signal Processing and Artificial Intelligence in Healthcare
  • Author : Walid A. Zgallai
  • Publisher : Academic Press
  • Release : 29 July 2020
GET THIS BOOKBiomedical Signal Processing and Artificial Intelligence in Healthcare

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of

Personalized Food Intervention and Therapy for Autism Spectrum Disorder Management

Personalized Food Intervention and Therapy for Autism Spectrum Disorder Management
  • Author : M. Mohamed Essa,M. Walid Qoronfleh
  • Publisher : Springer Nature
  • Release : 31 January 2020
GET THIS BOOKPersonalized Food Intervention and Therapy for Autism Spectrum Disorder Management

The book focuses on implications of traditional and processed foods for autism spectrum disorder (ASD) intervention and management. Numerous phytonutrients and pharmacologically active compounds in edible natural products and diet could influence and offer protection to neuronal dysfunction that occurs due to ASD. The neuroprotective effects of various fruits, vegetables, nuts and seeds phytochemicals, and other natural bioactive ingredients against ASD and related conditions are discussed. Topics such as the possible neuroprotective mechanism of action of these foods and the

Technology for Learners with Autism Spectrum Disorders

Technology for Learners with Autism Spectrum Disorders
  • Author : Demetria Loryn Ennis-Cole
  • Publisher : Springer
  • Release : 08 September 2014
GET THIS BOOKTechnology for Learners with Autism Spectrum Disorders

Technology for Learners with Autism Spectrum Disorders provides readers with an in-depth look at the characteristics of learners with ASD and explains how different forms of technology can be used to create learning opportunities for autistic students. The book is both academic and practical to appeal to multiple audiences: academicians, parents, teachers and therapists. Currently, there is scant literature speaking to the types of academic activities that should be developed and used to help children with ASD gain skills in

A Mindfulness Intervention for Children with Autism Spectrum Disorders

A Mindfulness Intervention for Children with Autism Spectrum Disorders
  • Author : Yoon-Suk Hwang,Patrick Kearney
  • Publisher : Springer
  • Release : 03 September 2015
GET THIS BOOKA Mindfulness Intervention for Children with Autism Spectrum Disorders

This book presents emerging research on the effectiveness of mindfulness methods in reducing behavior problems associated with autism spectrum disorders (ASD) in children. The volume synthesizes current research and theories on the therapeutic uses of mindfulness, specifically for people living with developmental disabilities. In addition, it examines a promising new study in which mothers of children with ASD learn mindfulness techniques for their own use and are then trained to teach the methods to their children. The book concludes with

The Neuroscience of Autism Spectrum Disorders

The Neuroscience of Autism Spectrum Disorders
  • Author : Joseph D. Buxbaum,Patrick R. Hof
  • Publisher : Academic Press
  • Release : 24 June 2021
GET THIS BOOKThe Neuroscience of Autism Spectrum Disorders

Autism is no longer considered a rare disease, and the Center for Disease Control now estimates that upwards of 730,000 children in the US struggle with this isolating brain disorder. New research is leading to greater understanding of and ability to treat the disorder at an earlier age. It is hoped that further genetic and imaging studies will lead to biologically based diagnostic techniques that could help speed detection and allow early, more effective intervention. Edited by two leaders in the

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging
  • Author : Yinghuan Shi,Heung-Il Suk,Mingxia Liu
  • Publisher : Springer
  • Release : 15 September 2018
GET THIS BOOKMachine Learning in Medical Imaging

This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.