Neural Engineering Techniques For Autism Spectrum Disorder

Author : Jasjit Suri,Ayman S. El-Baz
Publisher : Academic Press
Page : 347 pages
File Size : 55,6 Mb
Release : 2022-10-17
Category : Science
ISBN : 9780128244227

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Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2 by Jasjit Suri,Ayman S. El-Baz Pdf

Neural Engineering for Autism Spectrum Disorder, Volume Two: Diagnosis and Clinical Analysis 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, magnetic resonance spectroscopy, MRI, fMRI, DTI, 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 also presented. A clinical guide for general practitioners is provided along with a variety of assessment techniques such as magnetic resonance spectroscopy. The book is presented in two volumes, including Volume One: Imaging and Signal Analysis Techniques comprised of two Parts: Autism and Medical Imaging, and Autism and Signal Analysis. Volume Two: Diagnosis and Treatment includes 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, such as the 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 for engineers, computer scientists, researchers and clinicians who need to understand the technology and applications of Neural Engineering for the detection and diagnosis of Autism Spectrum Disorder (ASD)

Author : Ayman S. El-Baz,Jasjit S. Suri
Publisher : Academic Press
Page : 400 pages
File Size : 45,7 Mb
Release : 2021-07-16
Category : Science
ISBN : 9780128230657

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Neural Engineering Techniques for Autism Spectrum Disorder by Ayman S. El-Baz,Jasjit S. Suri Pdf

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)

Author : Triwiyanto Triwiyanto,Achmad Rizal,Wahyu Caesarendra
Publisher : Springer Nature
Page : 708 pages
File Size : 50,8 Mb
Release : 2023-05-31
Category : Technology & Engineering
ISBN : 9789819902484

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Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics by Triwiyanto Triwiyanto,Achmad Rizal,Wahyu Caesarendra Pdf

This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2022 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (a) Electronics, (b) Biomedical Engineering, and (c) Health Informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the fields of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.

Author : Ashwani Kumar,Iztok Fister Jr.,P. K. Gupta,Johan Debayle,Zuopeng Justin Zhang,Mohammed Usman
Publisher : Springer Nature
Page : 553 pages
File Size : 41,8 Mb
Release : 2022-12-13
Category : Computers
ISBN : 9783031213854

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Artificial Intelligence and Data Science by Ashwani Kumar,Iztok Fister Jr.,P. K. Gupta,Johan Debayle,Zuopeng Justin Zhang,Mohammed Usman Pdf

This book constitutes selected papers presented at the First International Conference on Artificial Intelligence and Data Science, ICAIDS 2021, held in Hyderabad, India, in December 2021. The 43 papers presented in this volume were thoroughly reviewed and selected from the 195 submissions. They focus on topics of artificial intelligence for intelligent applications and data science for emerging technologies.

Author : Kautish, Sandeep,Dhiman, Gaurav
Publisher : IGI Global
Page : 224 pages
File Size : 42,6 Mb
Release : 2021-06-25
Category : Psychology
ISBN : 9781799874621

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Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder by Kautish, Sandeep,Dhiman, Gaurav Pdf

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 couple of years leading to the need for more research in the field. It is crucial to provide researchers and clinicians with the most up-to-date information on the clinical features, etiopathogenesis, and therapeutic strategies for patients as well as to shed light on the other psychiatric conditions often associated with ASD. In addition, it is equally important to understand how to detect ASD in individuals for accurate diagnosing and early detection. Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder discusses the early detection and diagnosis of autism spectrum disorder enabled by artificial intelligence technologies, applications, and therapies. This book will focus on the early diagnosis of ASD through artificial intelligence, such as deep learning and machine learning algorithms, for confirming diagnosis or suggesting the need for further evaluation of individuals. The chapters will also discuss the use of artificial intelligence technologies, such as medical robots, for enhancing the communication skills and the social and emotional skills of children who have been diagnosed with ASD. This book is ideally intended for IT specialists, data scientists, academicians, scholars, researchers, policymakers, medical practitioners, and students interested in how artificial intelligence is impacting the diagnosis and treatment of autism spectrum disorder.

Author : Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
Publisher : Academic Press
Page : 320 pages
File Size : 48,9 Mb
Release : 2020-11-12
Category : Science
ISBN : 9780128230473

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Handbook of Deep Learning in Biomedical Engineering by Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar Pdf

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

Author : Teodiano Freire Bastos-Filho,Eliete Maria de Oliveira Caldeira,Anselmo Frizera-Neto
Publisher : Springer Nature
Page : 2274 pages
File Size : 53,9 Mb
Release : 2022-04-14
Category : Technology & Engineering
ISBN : 9783030706012

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XXVII Brazilian Congress on Biomedical Engineering by Teodiano Freire Bastos-Filho,Eliete Maria de Oliveira Caldeira,Anselmo Frizera-Neto Pdf

This book presents cutting-edge research and developments in the field of Biomedical Engineering. It describes both fundamental and clinically-oriented findings, highlighting advantages and challenges of innovative methods and technologies, such as artificial intelligence, wearable devices and neuroengineering, important issues related to health technology management and human factors in health, and new findings in biomechanical analysis and modeling. Gathering the proceedings of the XXVII Brazilian Congress on Biomedical Engineering, CBEB 2020, held on October 26-30, 2020, in Vitória, Brazil, and promoted by the Brazilian Society of Biomedical Engineering – SBEB, this book gives emphasis to research and developments carried out by Brazilian scientists, institutions and professionals. It offers an extensive overview on new trends and clinical implementation of technologies, and it is intended to foster communication and collaboration between medical scientists, engineers, and researchers inside and outside the country.

Author : Sharma, Avinash Kumar,Chanderwal, Nitin,Tyagi, Shobhit,Upadhyay, Prashant
Publisher : IGI Global
Page : 327 pages
File Size : 46,5 Mb
Release : 2024-03-11
Category : Computers
ISBN : 9798369323601

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Future of AI in Medical Imaging by Sharma, Avinash Kumar,Chanderwal, Nitin,Tyagi, Shobhit,Upadhyay, Prashant Pdf

Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.

Author : Telex Magloire Ngatched Nkouatchah,Isaac Woungang,Jules-Raymond Tapamo,Serestina Viriri
Publisher : Springer Nature
Page : 441 pages
File Size : 48,7 Mb
Release : 2023-02-20
Category : Computers
ISBN : 9783031252716

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Pan-African Artificial Intelligence and Smart Systems by Telex Magloire Ngatched Nkouatchah,Isaac Woungang,Jules-Raymond Tapamo,Serestina Viriri Pdf

This book constitutes the refereed post-conference proceedings of the Second International Conference on Pan-African Intelligence and Smart Systems, PAAISS 2022, which was held in Dakar, Senegal, in November 2022. The 27 revised full papers presented were carefully selected from 70 submissions. The theme of PAAISS 2022 was: ​IoT and Enabling Smart System Technologies, Special Topics of African Interest, Artificial Intelligence Theory and Methods, Artificial Intelligence Applications in Medicine, Remote sensing and AI in Agriculture, AI applications and Smart Systems technologies, Affective Computing, Intelligent Transportation systems.

Author : Sanjay Chakraborty,Sk Hafizul Islam,Debabrata Samanta
Publisher : Springer Nature
Page : 210 pages
File Size : 47,6 Mb
Release : 2022-05-10
Category : Technology & Engineering
ISBN : 9783030930882

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Data Classification and Incremental Clustering in Data Mining and Machine Learning by Sanjay Chakraborty,Sk Hafizul Islam,Debabrata Samanta Pdf

This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.

Author : Eugenio Mangi
Publisher : Springer Nature
Page : 161 pages
File Size : 54,7 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789819995950

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Innovative Public Participation Practices for Sustainable Urban Regeneration by Eugenio Mangi Pdf

Author : Shruti Jain,Sudip Paul
Publisher : CRC Press
Page : 294 pages
File Size : 55,9 Mb
Release : 2021-12-31
Category : Computers
ISBN : 9781000514049

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Assistive Technology Intervention in Healthcare by Shruti Jain,Sudip Paul Pdf

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.

Author : Marwan Omar
Publisher : Springer Nature
Page : 54 pages
File Size : 42,7 Mb
Release : 2022-09-24
Category : Computers
ISBN : 9783031158933

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Machine Learning for Cybersecurity by Marwan Omar Pdf

This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry. By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effective Advanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.

Author : Gregory R. Bock,Jamie A. Goode
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 52,6 Mb
Release : 2005-01-21
Category : Science
ISBN : 9780470869376

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Autism by Gregory R. Bock,Jamie A. Goode Pdf

This book draws together contributions from some of the leading investigators in the field of autism to consider specific problem areas in current research. Each contributor brings expertise from a different field, providing a balanced view of the whole spectrum of study of this disorder. It covers four main areas: Twin and family studies indicate that the heritability of the underlying liability to autism exceeds 90% and point to a multifactorial causation, involving a relatively small number of susceptibility genes. The book discusses this issue in detail, along with the problem of why some additional symptoms are associated with autism while others are not. New techniques are available for examining the neurobiology of autism. The book contains results from imaging studies showing the contributions of different brain regions to autism. It includes neuropathological data and examines the neuropharmacology of autism. There is considerable discussion concerning the fundamental psychological deficit in children with autism. There is good evidence that "Theory of Mind" deficits are associated with autism and this issue is discussed in the book, as are other competing possibilities. The most important practical question facing medical and psychological practitioners is how to help children with autism. The evidence relating to possible psychological or psychiatric interventions for rehabilitation of children with autism is examined in detail. Drug treatments have generally been disappointing in this field and there is one chapter devoted specifically to this problem. The book focusses ultimately on intervention studies and so is of practical relevance to people interested in helping autistic children. In addition, it provides a very convenient summary of the principal controversies which currently exist in research on autism.

Author : Alessandro Grecucci,Roma Siugzdaite,Remo Job
Publisher : Frontiers Media SA
Page : 143 pages
File Size : 50,7 Mb
Release : 2017-11-16
Category : Electronic book
ISBN : 9782889453160

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Advanced Neuroimaging Methods for Studying Autism Disorder by Alessandro Grecucci,Roma Siugzdaite,Remo Job Pdf

In the last twenty years, many attempts have been made to provide neurobiological models of autism. Functional, structural and connectivity analyses have highlighted reduced responses in key social areas, such as amygdala, medial prefrontal cortex, cingulate cortex, and superior temporal sulcus. However, these studies present discrepant results and some of them have been questioned for methodological limitations. The aim of this research topic is to present advanced neuroimaging methods able to capture the complexity of the neural deficits displayed in autism. This special issue presents new studies using structural and functional MRI, as well as magnetoencephalography, and novel protocols to analyze data (Analysis of Cluster Variability, Noise Reduction Strategies, Source-based Morphometry, Functional Connectivity Density, Restriction Spectrum Imaging and the others). We believe it is time to integrate data provided by different techniques and methodologies in order to have a better understanding of autism.