Neural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering Techniques for Autism Spectrum Disorder
Author: Ayman S. El-Baz,Jasjit S. Suri
Publsiher: Academic Press
Total Pages: 400
Release: 2021-07-16
ISBN 10: 0128230657
ISBN 13: 9780128230657
Language: EN, FR, DE, ES & NL

Neural Engineering Techniques for Autism Spectrum Disorder Book Review:

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)

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
Publsiher: Academic Press
Total Pages: 232
Release: 2022-10-15
ISBN 10: 9780128244210
ISBN 13: 0128244216
Language: EN, FR, DE, ES & NL

Neural Engineering Techniques for Autism Spectrum Disorder Volume 2 Book Review:

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, fuzzy model, and temporal fractal analysis of rest state BOLD signals and brain signals are presented for detection and estimation of the degree of ASD. A clinical guide for general practitioners is provided along with a variety of assessment techniques such as magnetic resonance spectroscopy. Neural Engineering for Autism Spectrum Disorder is presented in two volumes. Volume 1: Imaging and Signal Analysis Techniques includes two Parts: Autism and Medical Imaging, and Autism and Signal Analysis. Volume 2: Diagnosis and Treatment includes two Parts: Autism and Clinical Analysis: Diagnosis, and Autism and Clinical Analysis: Treatment. Presents applications of Neural Engineering techniques for diagnosis of Autism Spectrum Disorder (ASD) Includes in-depth technical coverage of assessment techniques, including coverage of functional and structural networks underlying visuospatial vs. linguistic reasoning in autism Covers treatment techniques for Autism Spectrum Disorder (ASD), including social skills intervention, behavioral treatment, evidence-based treatments, and technical tools such as Magnetic Resonance Spectroscopy for ASD Written by engineers 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)

Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering
Author: Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 320
Release: 2020-11-12
ISBN 10: 0128230479
ISBN 13: 9780128230473
Language: EN, FR, DE, ES & NL

Handbook of Deep Learning in Biomedical Engineering Book Review:

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 rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning 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 AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, 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 Deep Learning 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, ADHD, and ASD, tumor prediction, as well as 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

XXVII Brazilian Congress on Biomedical Engineering

XXVII Brazilian Congress on Biomedical Engineering
Author: Teodiano Freire Bastos-Filho
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 303070601X
ISBN 13: 9783030706012
Language: EN, FR, DE, ES & NL

XXVII Brazilian Congress on Biomedical Engineering Book Review:

Neural Engineering

Neural Engineering
Author: Lijie Grace Zhang,David L. Kaplan
Publsiher: Springer
Total Pages: 306
Release: 2016-06-29
ISBN 10: 3319314335
ISBN 13: 9783319314334
Language: EN, FR, DE, ES & NL

Neural Engineering Book Review:

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.

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
Publsiher: IGI Global
Total Pages: 309
Release: 2022-02-11
ISBN 10: 179989536X
ISBN 13: 9781799895367
Language: EN, FR, DE, ES & NL

Bio Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies Book Review:

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 whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Author: Om Prakash Jena,Bharat Bhushan,Utku Kose
Publsiher: CRC Press
Total Pages: 292
Release: 2022-02-25
ISBN 10: 1000533972
ISBN 13: 9781000533972
Language: EN, FR, DE, ES & NL

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications Book Review:

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments. This book aims to endow different communities with the innovative advances in theory, analytical results, case studies, numerical simulation, modeling, and computational structuring in the field of ML/DL models for healthcare applications. It will reveal different dimensions of ML/DL applications and will illustrate their use in the solution of assorted real-world biomedical and healthcare problems. Features: Covers the fundamentals of ML and DL in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in ML/DL models Integrates several aspects of AI-based computational intelligence such as ML and DL from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphasizes feature selection as an important step in any accurate model simulation where ML/DL methods are used to help train the system and extract the positive solution implicitly This book is a valuable source of information for researchers, scientists, healthcare professionals, programmers, and graduate-level students interested in understanding the applications of ML/DL in healthcare scenarios. Dr. Om Prakash Jena is an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology, Sharda University, Greater Noida, India. Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey.

Modern Approaches to Augmentation of Brain Function

Modern Approaches to Augmentation of Brain Function
Author: Ioan Opris,Mikhail A. Lebedev,Manuel F. Casanova
Publsiher: Springer Nature
Total Pages: 747
Release: 2021-08-25
ISBN 10: 3030545644
ISBN 13: 9783030545642
Language: EN, FR, DE, ES & NL

Modern Approaches to Augmentation of Brain Function Book Review:

This book covers recent advances in neural technology that provide for enhancements for brain function. It addresses a broad range of neural phenomena occurring in the brain circuits involved in perception, cognition, emotion and action, that represent the building blocks of behavior and cognition. Augmentation of brain function can be achieved by using brain implants for recordings, stimulation, or drug delivery. Alternative methods include employing brain-machine interfaces, as well as noninvasive activation of certain brain areas. This volume evaluates existing methods of brain augmentation while discussing the brain circuitry and neuronal mechanisms that make augmentation possible. This volume offers novel insights into brain disorders, and explores new devices for brain repair while also addressing the philosophical and ethical implications of brain augmentation. The information in this book is relevant to researchers in the fields of neuroscience, engineering, and clinical practice. Advance Praise for Modern Approaches to Augmentation of Brain Function: “This impressive book by leading experts in neuroscience and neuroengineering lays out the future of brain augmentation, in which the human mind and machine merge, leading to a rapid exponential growth of the power of humanity.” Ray Kurzweil, best-selling author, inventor, entrepreneur and a recipient of the National Medal of Technology and Innovation (1999), and the Lemelson-MIT Prize (2001) "This book employs a holistic approach in covering the recent advances in the fields of neuroscience, neuroinformatics, neurotechnology and neuro-psycho-pharmacology. Each chapter of the book covers major aspects of modern brain research in connection with the human mind and behavior, and is authored by researchers with unique expertise in their field. " Ioan Dumitrache, Prof. Dr. Eng. Faculty of Computer Science, Polytechnic University of Bucharest, Bucharest, Romania “This book presents compelling perspectives on what interactive neuroscience will look like in the future, delving into the innovatory ideas of a diverse set of neuroscientists, and speculating on the different ways computer chips implanted in the brains of humans can effect intelligence and communication.” György Buzsáki, MD, PhD is the Biggs Professor of Neuroscience, NYU School of Medicine, New York, NY

Application of Biomedical Engineering in Neuroscience

Application of Biomedical Engineering in Neuroscience
Author: Sudip Paul
Publsiher: Springer Nature
Total Pages: 490
Release: 2019-11-19
ISBN 10: 9811371423
ISBN 13: 9789811371424
Language: EN, FR, DE, ES & NL

Application of Biomedical Engineering in Neuroscience Book Review:

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.

Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering
Author: Francisco Ortuño,Ignacio Rojas
Publsiher: Springer
Total Pages: 674
Release: 2015-04-01
ISBN 10: 331916483X
ISBN 13: 9783319164830
Language: EN, FR, DE, ES & NL

Bioinformatics and Biomedical Engineering Book Review:

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.

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
Publsiher: Springer
Total Pages: 327
Release: 2015-11-26
ISBN 10: 9811002665
ISBN 13: 9789811002663
Language: EN, FR, DE, ES & NL

International Conference for Innovation in Biomedical Engineering and Life Sciences Book Review:

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 Neuroscience

Biomedical Engineering and Neuroscience
Author: Wojciech P. Hunek,Szczepan Paszkiel
Publsiher: Springer
Total Pages: 241
Release: 2018-02-06
ISBN 10: 3319750259
ISBN 13: 9783319750255
Language: EN, FR, DE, ES & NL

Biomedical Engineering and Neuroscience Book Review:

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–bioethics, biophysics–biochemistry, modeling–neuroinformatics, BCI technology, biomedical engineering, control and robotics, computer engineering and neurorehabilitation–biofeedback.In addition to paper presentations, the scientific program also included a number of practical demonstrations covering, for example, the on-line control of mobile robot and unmanned aerial vehicle using the BCI technology.

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
Publsiher: IGI Global
Total Pages: 391
Release: 2020-11-13
ISBN 10: 1799870553
ISBN 13: 9781799870555
Language: EN, FR, DE, ES & NL

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

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.

Assistive Technology Intervention in Healthcare

Assistive Technology Intervention in Healthcare
Author: Shruti Jain,Sudip Paul
Publsiher: CRC Press
Total Pages: 294
Release: 2021-12-31
ISBN 10: 1000514048
ISBN 13: 9781000514049
Language: EN, FR, DE, ES & NL

Assistive Technology Intervention in Healthcare Book Review:

Assistive Technology Intervention in Healthcare focuses on various applications of intelligent techniques in biomedical engineering and health informatics. It aims to create awareness about disability reduction and recovery of accidental disability with the help of various rehabilitative systems. Novel technologies in disability treatment, management and assistance, including healthcare devices and their utility from home to hospital, are described. The book deals with simulation, modeling, measurement, control, analysis, information extraction and monitoring of physiological data in clinical medicine and biology. Features Covers the latest evolutionary approaches to solve optimization problems in the biomedical engineering field Explains machine learning–based approaches to improvement in health engineering areas Reviews the IoT, cloud computing and data analytics in healthcare informatics Discusses modeling and simulations in the design of biomedical equipment Explores monitoring of physiological data This book is aimed at researchers and graduate students in biomedical engineering, clinical engineering and bioinformatics.

Recent Innovations in Computing

Recent Innovations in Computing
Author: Pradeep Kumar Singh
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 9811682488
ISBN 13: 9789811682483
Language: EN, FR, DE, ES & NL

Recent Innovations in Computing Book Review:

Bioinformatics Research and Applications

Bioinformatics Research and Applications
Author: Zhipeng Cai,Ion Mandoiu,Giri Narasimhan,Pavel Skums,Xuan Guo
Publsiher: Springer Nature
Total Pages: 418
Release: 2020-08-17
ISBN 10: 3030578216
ISBN 13: 9783030578213
Language: EN, FR, DE, ES & NL

Bioinformatics Research and Applications Book Review:

This book constitutes the proceedings of the 16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020, held in Moscow, Russia, in December 2020. The 23 full papers and 18 short papers presented in this book were carefully reviewed and selected from 131 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology.

Control Computer Engineering and Neuroscience

Control  Computer Engineering and Neuroscience
Author: Szczepan Paszkiel
Publsiher: Springer Nature
Total Pages: 348
Release: 2021-03-29
ISBN 10: 3030722546
ISBN 13: 9783030722548
Language: EN, FR, DE, ES & NL

Control Computer Engineering and Neuroscience Book Review:

This book presents the proceedings of the 4th International Scientific Conference IC BCI 2021 Opole, Poland. The event was held at Opole University of Technology in Poland on 21 September 2021. 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–bioethics, biophysics–biochemistry, modeling–neuroinformatics, BCI technology, biomedical engineering, control and robotics, computer engineering and neurorehabilitation–biofeedback.

Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering
Author: Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 320
Release: 2020-12-01
ISBN 10: 0128230142
ISBN 13: 9780128230145
Language: EN, FR, DE, ES & NL

Handbook of Deep Learning in Biomedical Engineering Book Review:

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. ~

Autism Spectrum Disorder in the First Years of Life

Autism Spectrum Disorder in the First Years of Life
Author: Katarzyna Chawarska,Fred R. Volkmar
Publsiher: Guilford Publications
Total Pages: 397
Release: 2020-08-04
ISBN 10: 1462543251
ISBN 13: 9781462543250
Language: EN, FR, DE, ES & NL

Autism Spectrum Disorder in the First Years of Life Book Review:

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 reviews evidence-based interventions and explores practical issues in treatment of young children and their families.

Evolving Role of AI and IoMT in the Healthcare Market

Evolving Role of AI and IoMT in the Healthcare Market
Author: Fadi Al-Turjman,Manoj Kumar,Thompson Stephan,Akashdeep Bhardwaj
Publsiher: Springer Nature
Total Pages: 283
Release: 2021
ISBN 10: 3030820793
ISBN 13: 9783030820794
Language: EN, FR, DE, ES & NL

Evolving Role of AI and IoMT in the Healthcare Market Book Review:

This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world. Covers the applications of artificial intelligence (AI), and Internet of Medical Things (IoMT) in the Healthcare domain; Discusses how the usage of IoT and AI helps to analyze medical data in terms of diagnosis, disease prediction, and analysis of enormous health records; Covers a variety of Medical IoT based applications that are being used in different sectors and have succeeded in providing considerable benefits to the users in critical health application.