|Author||: Ayman S. El-Baz,Jasjit S. Suri|
|Publisher||: Academic Press|
|Release Date||: 2021-07-15|
|ISBN 10||: 9780128228227|
|Pages||: 232 pages|
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).
|Author||: Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar|
|Publisher||: Academic Press|
|Release Date||: 2020-11-23|
|ISBN 10||: 0128230479|
|Pages||: 320 pages|
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 recent years, in terms of both methodological constructs and practical applications. DL provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and artificial intelligence techniques such as DL and convolutional neural networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use DL include computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic particle imaging, electroencephalography/magnetoencephalography (EE/MEG), optical microscopy and tomography, photoacoustic tomography, electron tomography, and atomic force microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of DL applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer’s, attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), tumor prediction, and translational multimodal imaging analysis. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disparate sources, such as X-Ray/CT. Helps readers understand key concepts in DL applications for biomedical engineering and health care, including manifold learning, classification, clustering, and regression in neuroimaging data analysis. Provides readers with key DL development techniques such as creation of algorithms and application of DL through artificial neural networks and convolutional neural networks. Includes coverage of key application areas of DL such as early diagnosis of specific diseases such as Alzheimer’s, ADHD, and ASD, and tumor prediction through MRI and translational multimodality imaging and biomedical applications such as detection, diagnostic analysis, quantitative measurements, and image guidance of ultrasonography. ~
This book covers the principles of advanced 3D fabrication techniques, stem cells and biomaterials for neural engineering. Renowned contributors cover topics such as neural tissue regeneration, peripheral and central nervous system repair, brain-machine interfaces and in vitro nervous system modeling. Within these areas, focus remains on exciting and emerging technologies such as highly developed neuroprostheses and the communication channels between the brain and prostheses, enabling technologies that are beneficial for development of therapeutic interventions, advanced fabrication techniques such as 3D bioprinting, photolithography, microfluidics, and subtractive fabrication, and the engineering of implantable neural grafts.There is a strong focus on stem cells and 3D bioprinting technologies throughout the book, including working with embryonic, fetal, neonatal, and adult stem cells and a variety of sophisticated 3D bioprinting methods for neural engineering applications. There is also a strong focus on biomaterials, including various conductive biomaterials and biomimetic nanomaterials such as carbon-based nanomaterials and engineered 3D nanofibrous scaffolds for neural tissue regeneration. Finally, two chapters on in vitro nervous system models are also included, which cover this topic in the context of studying physiology and pathology of the human nervous system, and for use in drug discovery research. This is an essential book for biomedical engineers, neuroscientists, neurophysiologists, and industry professionals.
|Author||: Kats, Yefim,Stasolla, Fabrizio|
|Publisher||: IGI Global|
|Release Date||: 2020-11-13|
|ISBN 10||: 1799870553|
|Pages||: 391 pages|
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 serve. The choice of appropriate tools is especially complex due to the intrinsic connection between technical specifications, educational/therapeutic methods, and the wide variety of ASDs and related conditions. In this respect, tools chosen to support children may need to target those diagnosed not only with ASD but also with such co-morbidity conditions as attention deficit disorder. The instructional strategies and use of technology currently have room for improvement for online, hybrid, and face-to-face counseling settings. Also, an effective evaluation of educational technologies and tools would be fundamentally incomplete without a thorough understanding and assessment of the related special education practices as well as psychological and neurological issues specific for ASD and learning disabilities. Education and Technology Support for Children and Young Adults With ASD and Learning Disabilities provides an in-depth analysis on the use of available technology solutions, instructional design methods, and assessment techniques in the context of standards and regulations in classroom or counseling settings. The chapters contain theoretical analyses, vital practical information, and case studies that can function as guidelines for those involved in helping children and young adults with ASD or learning disabilities in online, hybrid, or face-to-face environments. While highlighting topics such as inclusive education, online gaming environments, assistive technologies, and cognitive development, this book is ideally intended for administrators, instructional technology specialists, special education faculty, counselors, instructional designers, course developers, social workers, and psychologists along with practitioners, stakeholders, researchers, and academicians interested in education and technology support for children and young adults with ASD and learning disabilities.
|Author||: Sudip Paul|
|Publisher||: Springer Nature|
|Release Date||: 2019-11-19|
|ISBN 10||: 9811371423|
|Pages||: 490 pages|
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 are used to understand the neural mechanisms underlying empathy disorders, and reviews recent advances in biomedical engineering for rehabilitation in connection with neurodevelopmental disorders and brain injuries. Lastly, the book discusses innovations in machine learning and artificial intelligence for computer-aided disease diagnosis and treatment, as well as applications of nanotechnology in therapeutic neurology.
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, Hidden Markov Model (HMM) for biological sequence modeling, advances in computational intelligence for bioinformatics and biomedicine, tools for next generation sequencing data analysis, dynamics networks in system medicine, interdisciplinary puzzles of measurements in biological systems, biological networks, high performance computing in bioinformatics, computational biology and computational chemistry, advances in drug discovery and ambient intelligence for bio emotional computing.
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 cross culturally. It also examines the issue of hyperandrogenism and evidence-based treatments of autism. In terms of assessment, it focuses on psychological and biological assessment including neurotransmitters systems, structural and functional brain imaging, coping strategies of parents, examines the intertwining of language impairment, specific language impairment and ASD, as well as implicit and spontaneous Theory of Mind reading in ASD. In terms of aetiology, it focuses on genetic factors, epigenetics, synaptic vesicles, toxicity during neurodevelopment, immune system and sex differences. It also examines the link between social cognitive anatomical and neurophysiologic biomarkers and candidate genes. This book will be relevant to all mental health professionals because autism occurs in all the different areas of psychiatry and professionals who will find it helpful will be psychiatrists, psychologists, social workers, nurses, teachers and all those working with persons with Autism including parents who nowadays are interested in knowing more and more, at a detailed level about their children or adults with autism.
|Release Date||: 2012-01-09|
|ISBN 10||: 1464964556|
|Pages||: 1451 pages|
Issues in Biomedical Engineering Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Biomedical Engineering Research and Application. The editors have built Issues in Biomedical Engineering Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Biomedical Engineering Research and Application in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Biomedical Engineering Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
|Author||: Jorge Henriques,Nuno Neves,Paulo de Carvalho|
|Publisher||: Springer Nature|
|Release Date||: 2019-09-24|
|ISBN 10||: 3030316351|
|Pages||: 2067 pages|
This book gathers the proceedings of MEDICON 2019 – the XV Mediterranean Conference on Medical and Biological Engineering and Computing – which was held in September 26-28, 2019, in Coimbra, Portugal. A special emphasis has been given to practical findings, techniques and methods, aimed at fostering an effective patient empowerment, i.e. to position the patient at the heart of the health system and encourages them to be actively involved in managing their own healthcare needs. The book reports on research and development in electrical engineering, computing, data science and instrumentation, and on many topics at the interface between those disciplines. It provides academics and professionals with extensive knowledge on cutting-edge techniques and tools for detection, prevention, treatment and management of diseases. A special emphasis is given to effective advances, as well as new directions and challenges towards improving healthcare through holistic patient empowerment.
|Author||: Chen, Chung-Hao,Cheung, Sen-Ching Samson|
|Publisher||: IGI Global|
|Release Date||: 2019-04-12|
|ISBN 10||: 1522574689|
|Pages||: 353 pages|
The results of computational model simulations allow researchers and clinicians to make predictions about what will happen in the biological systems that are being studied in response to changing conditions for a disease or disorder. With a well-developed computational model, researchers and clinicians can better understand the cause of a disease or a disorder and predict treatment results. Computational Models for Biomedical Reasoning and Problem Solving is a critical scholarly publication that provides insightful strategies to developing computational models that allow for the better understanding and treatment of various diseases and disorders. Featuring topics such as biomedicine, neuroscience, and artificial intelligence, this book is ideal for practitioners, clinicians, researchers, psychologists, and engineers.
|Author||: Jonni L. Johnson,Gail S. Goodman,Peter C. Mundy|
|Publisher||: John Wiley & Sons|
|Release Date||: 2018-08-06|
|ISBN 10||: 1119158265|
|Pages||: 384 pages|
An Important Contribution to Understanding Autobiographical and Eyewitness Memory in Those with ASD and the Unique Legal Challenges They Present This book offers an in-depth discussion of how autobiographical and eyewitness memory operate in individuals with Autism Spectrum Disorder (ASD) and provides unique insights into current challenges faced by legal professionals, forensic psychologists, clinicians, and others who extend services to those with ASD. Throughout the book, authors demonstrate why a nuanced understanding of autobiographical and eyewitness memory is required when assessing individuals with ASD, given the developmental, social, and cognitive deficits at play. Authors review current legal services and structures, and explore ideas on whether and how modifications can be made to meet the needs of all individuals who seek and deserve justice, including individuals with ASD. The Wiley Handbook of Memory, Autism Spectrum Disorder, and the Law is sure to spark debate within the mental health and legal communities, while advancing knowledge on the role of key clinical features of ASD in autobiographical and eyewitness memory. The book is distinct in its exploration of ways in which the legal system, with its formal yet inherently social infrastructure and regulated due process demands, should offer services to those with ASD. Of note, authors question if current policies and practices, such as reliance on interviewing protocols standardized for typically developing individuals, are adequate. The book is divided into three sections with the first providing a discussion of theoretical viewpoints on how memory functions in those with and without ASD, and providing a specialized consideration of developmental issues. A second section reviews empirical evidence, followed by a third and final section addressing legal and clinical considerations, including techniques for interviewing individuals with ASD. The first book offering an expert, science-based review of autobiographical and eyewitness memory research on those with ASD and the associated legal challenges Provides thought-provoking, informative, often debated observations on memory in ASD from an international team of experts Offers summaries of what is known about memory abilities in those with ASD as well as what is left unknown that future researchers will need to address and that legal professionals should consider. A book that does much to advance the research frontier in the study of memory in ASD and application to the legal system, The Wiley Handbook of Memory, Autism Spectrum Disorder, and the Law is important reading for academic researchers, clinicians, judges, jurors, law enforcement officials, and public policy makers alike.
This volume gathers the proceedings of the International Conference on Medical and Biological Engineering, which was held from 16 to 18 May 2019 in Banja Luka, Bosnia and Herzegovina. Focusing on the goal to ‘Share the Vision’, it highlights the latest findings, innovative solutions and emerging challenges in the field of Biomedical Engineering. The book covers a wide range of topics, including: biomedical signal processing, medical physics, biomedical imaging and radiation protection, biosensors and bioinstrumentation, bio-micro/nano technologies, biomaterials, biomechanics, robotics and minimally invasive surgery, and cardiovascular, respiratory and endocrine systems engineering. Further topics include bioinformatics and computational biology, clinical engineering and health technology assessment, health informatics, e-health and telemedicine, artificial intelligence and machine learning in healthcare, as well as pharmaceutical and genetic engineering. Given its scope, the book provides academic researchers, clinical researchers and professionals alike with a timely reference guide to measures for improving the quality of life and healthcare.