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)

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: 2020-11-23
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. 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. ~

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.

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.

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.

XXVI Brazilian Congress on Biomedical Engineering

XXVI Brazilian Congress on Biomedical Engineering
Author: Rodrigo Costa-Felix,João Carlos Machado,André Victor Alvarenga
Publsiher: Springer
Total Pages: 891
Release: 2019-05-15
ISBN 10: 9811325170
ISBN 13: 9789811325175
Language: EN, FR, DE, ES & NL

XXVI Brazilian Congress on Biomedical Engineering Book Review:

This volume presents the proceedings of the Brazilian Congress on Biomedical Engineering (CBEB 2018). The conference was organised by the Brazilian Society on Biomedical Engineering (SBEB) and held in Armação de Buzios, Rio de Janeiro, Brazil from 21-25 October, 2018. Topics of the proceedings include these 11 tracks: • Bioengineering • Biomaterials, Tissue Engineering and Artificial Organs • Biomechanics and Rehabilitation • Biomedical Devices and Instrumentation • Biomedical Robotics, Assistive Technologies and Health Informatics • Clinical Engineering and Health Technology Assessment • Metrology, Standardization, Testing and Quality in Health • Biomedical Signal and Image Processing • Neural Engineering • Special Topics • Systems and Technologies for Therapy and Diagnosis

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: 2022
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 the neural technology that produces enhancements for brain function. It addresses a broad range of neural phenomena occurring in the brain circuits for perception, cognition, emotion and action, representing the building blocks of the behavior and mind. Augmentation of brain function is achieved using brain implants for recordings, stimulation and drug delivery. Alternative methods include employing brain-machine interfaces, as well as noninvasive activation of certain brain areas. Existing methods of brain augmentation are evaluated, and new approaches are introduced. Brain circuitry and neuronal mechanisms that are candidates for augmentation are discussed. This volume provides novel insights into brain disorders, and new devices for brain repair. Information in this book is relevant to researchers in the field of neuroscience, engineering, and clinical practice. Philosophical and ethical implications of brain augmentation are also addressed. "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 "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 "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.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
Author: Jorge Garza Ulloa
Publsiher: Elsevier
Total Pages: 704
Release: 2021-12-06
ISBN 10: 0128209348
ISBN 13: 9780128209349
Language: EN, FR, DE, ES & NL

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models Book Review:

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients

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.

Intelligent Computing Paradigm and Cutting edge Technologies

Intelligent Computing Paradigm and Cutting edge Technologies
Author: Margarita N. Favorskaya,Sheng-Lung Peng,Milan Simic,Basim Alhadidi,Souvik Pal
Publsiher: Springer Nature
Total Pages: 463
Release: 2021-04-21
ISBN 10: 3030654079
ISBN 13: 9783030654078
Language: EN, FR, DE, ES & NL

Intelligent Computing Paradigm and Cutting edge Technologies Book Review:

This book aims to bring together Researchers, Scientists, Engineers, Scholars and Students in the areas of computer engineering and information technology, and provides a forum for the dissemination of original research results, new ideas, Research and development, practical experiments, which concentrate on both theory and practices, for the benefit of the society. The book also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer Science and Information Technology in the context of Distributed computing, Big data, High performance computing, Internet-of-Things, and digital pedagogy. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware mechanisms in high performance computing and IoT applications. This book aspires to convey researchers’ experiences, to present excellent result analysis, future scopes, and challenges facing the field of computer science, information technology, telecommunication, and digital pedagogy. This book aims to attract researchers and practitioners who are working in Information Technology and Computer Science. This book is about basics and high level concepts regarding intelligent computing paradigm, communications, and digital learning process. The book serves as a useful guide for Undergraduates, Postgraduates and Research Scholar in the field of Computer Science, Information Technology, and Electronics Engineering. We believe that this volume not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.

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.

Advances in Smart Grid Technology

Advances in Smart Grid Technology
Author: Ning Zhou,S. Hemamalini
Publsiher: Springer Nature
Total Pages: 555
Release: 2020-09-18
ISBN 10: 9811572410
ISBN 13: 9789811572418
Language: EN, FR, DE, ES & NL

Advances in Smart Grid Technology Book Review:

This book comprises the select proceedings of the International Conference on Power Engineering Computing and Control (PECCON) 2019. This volume covers several important topics such as optimal data selection and error-free data acquiring via artificial intelligence and machine learning techniques, information and communication technologies for monitoring and control of smart grid components, and data security in smart grid network. In addition, it also focuses on economics of renewable electricity generation, policies for distributed generation, smart eco-structures and systems. This book can be useful for beginners, researchers as well as professionals interested in the area of smart grid technology.

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.

Computer Methods Imaging and Visualization in Biomechanics and Biomedical Engineering

Computer Methods  Imaging and Visualization in Biomechanics and Biomedical Engineering
Author: Gerard A. Ateshian,Kristin M. Myers,João Manuel R. S. Tavares
Publsiher: Springer Nature
Total Pages: 672
Release: 2020
ISBN 10: 3030431959
ISBN 13: 9783030431952
Language: EN, FR, DE, ES & NL

Computer Methods Imaging and Visualization in Biomechanics and Biomedical Engineering Book Review:

This book gathers selected, extended and revised contributions to the 16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, and the 4th Conference on Imaging and Visualization (CMBBE 2019), held on August 14-16, 2019, in New York City, USA. It reports on cutting-edge models and algorithms for studying various tissues and organs in normal and pathological conditions; innovative imaging and visualization techniques; and the latest diagnostic tools. Further topics addressed include: numerical methods, machine learning approaches, FEM models, and high-resolution imaging and real-time visualization methods applied for biomedical purposes. Given the scope of its coverage, the book provides graduate students and researchers with a timely and insightful snapshot of the latest research and current challenges in biomedical engineering, computational biomechanics and biological imaging, as well as a source of inspiration for future research and cross-disciplinary collaborations.

World Congress on Medical Physics and Biomedical Engineering 2018

World Congress on Medical Physics and Biomedical Engineering 2018
Author: Lenka Lhotska,Lucie Sukupova,Igor Lacković,Geoffrey S. Ibbott
Publsiher: Springer
Total Pages: 956
Release: 2018-05-29
ISBN 10: 9811090386
ISBN 13: 9789811090387
Language: EN, FR, DE, ES & NL

World Congress on Medical Physics and Biomedical Engineering 2018 Book Review:

This book (vol. 2) presents the proceedings of the IUPESM World Congress on Biomedical Engineering and Medical Physics, a triennially organized joint meeting of medical physicists, biomedical engineers and adjoining health care professionals. Besides the purely scientific and technological topics, the 2018 Congress will also focus on other aspects of professional involvement in health care, such as education and training, accreditation and certification, health technology assessment and patient safety. The IUPESM meeting is an important forum for medical physicists and biomedical engineers in medicine and healthcare learn and share knowledge, and discuss the latest research outcomes and technological advancements as well as new ideas in both medical physics and biomedical engineering field.

Proceedings of the 2nd International Conference on Computational and Bio Engineering

Proceedings of the 2nd International Conference on Computational and Bio Engineering
Author: S. Jyothi,D. M. Mamatha,Yu-Dong Zhang,K. Srujan Raju
Publsiher: Springer Nature
Total Pages: 781
Release: 2021-09-27
ISBN 10: 9811619417
ISBN 13: 9789811619410
Language: EN, FR, DE, ES & NL

Proceedings of the 2nd International Conference on Computational and Bio Engineering Book Review:

This book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.

Innovations Algorithms and Applications in Cognitive Informatics and Natural Intelligence

Innovations  Algorithms  and Applications in Cognitive Informatics and Natural Intelligence
Author: Chui, Kwok Tai,Lytras, Miltiadis D.,Liu, Ryan Wen,Zhao, Mingbo
Publsiher: IGI Global
Total Pages: 403
Release: 2020-01-03
ISBN 10: 1799830403
ISBN 13: 9781799830405
Language: EN, FR, DE, ES & NL

Innovations Algorithms and Applications in Cognitive Informatics and Natural Intelligence Book Review:

While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still struggle with fundamental problems involving psychology and neurobiological processes of the brain. Examining the difficulties of certain approaches using the tools already available is vital for propelling knowledge forward and making further strides. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence is a collection of innovative research that examines the enhancement of human cognitive performance using emerging technologies. Featuring research on topics such as parallel computing, neuroscience, and signal processing, this book is ideally designed for engineers, computer scientists, programmers, academicians, researchers, and students.

Serious Games Development and Applications

Serious Games Development and Applications
Author: Minhua Ma,Manuel Fradinho Oliveira,Jannicke Baalsrud Hauge
Publsiher: Springer
Total Pages: 226
Release: 2014-10-03
ISBN 10: 3319116231
ISBN 13: 9783319116235
Language: EN, FR, DE, ES & NL

Serious Games Development and Applications Book Review:

This book constitutes the refereed proceedings of the 5th International Conference on Serious Games Development and Applications, SGDA 2014, held in Berlin, Germany, in October 2014. The 14 revised full papers presented together with 4 short papers were carefully reviewed and selected from 31 submissions. The focus of the papers was on the following: games for health, games for medical training, serious games for children, music and sound effects, games for other purposes, and game design and theories.

Advanced Neuroimaging Methods for Studying Autism Disorder

Advanced Neuroimaging Methods for Studying Autism Disorder
Author: Alessandro Grecucci,Roma Siugzdaite,Remo Job
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2017-11-16
ISBN 10: 2889453162
ISBN 13: 9782889453160
Language: EN, FR, DE, ES & NL

Advanced Neuroimaging Methods for Studying Autism Disorder Book Review:

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.