Computational Intelligence And Deep Learning Methods For Neuro Rehabilitation Applications

Download Computational Intelligence And Deep Learning Methods For Neuro Rehabilitation Applications full books in PDF, epub, and Kindle. Read online Computational Intelligence And Deep Learning Methods For Neuro Rehabilitation Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications

Author : D. Jude Hemanth
Publisher : Elsevier
ISBN 13 : 0443137730
Total Pages : 304 pages
Book Rating : 4.4/5 (431 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications by : D. Jude Hemanth

Download or read book Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications written by D. Jude Hemanth and published by Elsevier. This book was released on 2023-11-17 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the different possibilities of providing AI based neuro-rehabilitation methods to treat neurological disorders. This book provides in-depth knowledge on the challenges and solutions associated with the different varieties of neuro-rehabilitation through the inclusion of case studies and real-time scenarios in different geographical locations. Beginning with an overview of neuro-rehabilitation applications, the book discusses the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment, Brain Computer Interface for post-stroke patients, developing assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries. Topics also include AI-based video games to improve the brain performances in children with autism and ADHD, deep learning approaches and magnetoencephalography data for limb movement, EEG signal analysis, smart sensors, and the application of robotic concepts for gait control. Incorporates artificial intelligence techniques into neuro-rehabilitation and presents novel ideas for this process Provides in-depth case studies and state-of-the-art methods, along with the experimental study Presents a block diagram based complete set-up in each chapter to help in real-time implementation

Computational Intelligence for Oncology and Neurological Disorders

Author : Mrutyunjaya Panda
Publisher : CRC Press
ISBN 13 : 1040085628
Total Pages : 292 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence for Oncology and Neurological Disorders by : Mrutyunjaya Panda

Download or read book Computational Intelligence for Oncology and Neurological Disorders written by Mrutyunjaya Panda and published by CRC Press. This book was released on 2024-07-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence

Author : Anitha S. Pillai
Publisher : Academic Press
ISBN 13 : 0323886264
Total Pages : 356 pages
Book Rating : 4.3/5 (238 download)

DOWNLOAD NOW!

Book Synopsis Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence by : Anitha S. Pillai

Download or read book Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence written by Anitha S. Pillai and published by Academic Press. This book was released on 2022-02-23 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer’s disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer’s Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer’s Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders

Artificial Intelligence for Neurological Disorders

Author : Ajith Abraham
Publisher : Academic Press
ISBN 13 : 0323902782
Total Pages : 434 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Neurological Disorders by : Ajith Abraham

Download or read book Artificial Intelligence for Neurological Disorders written by Ajith Abraham and published by Academic Press. This book was released on 2022-09-23 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. Discusses various AI and ML methods to apply for neurological research Explores Deep Learning techniques for brain MRI images Covers AI techniques for the early detection of neurological diseases and seizure prediction Examines cognitive therapies using AI and Deep Learning methods

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications

Author : Alonso, Eduardo
Publisher : IGI Global
ISBN 13 : 1609600231
Total Pages : 396 pages
Book Rating : 4.6/5 (96 download)

DOWNLOAD NOW!

Book Synopsis Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications by : Alonso, Eduardo

Download or read book Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications written by Alonso, Eduardo and published by IGI Global. This book was released on 2010-11-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--

Bio-inspired Neurocomputing

Author : Akash Kumar Bhoi
Publisher : Springer Nature
ISBN 13 : 9811554951
Total Pages : 427 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Bio-inspired Neurocomputing by : Akash Kumar Bhoi

Download or read book Bio-inspired Neurocomputing written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2020-07-21 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Computational Techniques in Neuroscience

Author : Kamal Malik
Publisher :
ISBN 13 : 9781003398066
Total Pages : 0 pages
Book Rating : 4.3/5 (98 download)

DOWNLOAD NOW!

Book Synopsis Computational Techniques in Neuroscience by : Kamal Malik

Download or read book Computational Techniques in Neuroscience written by Kamal Malik and published by . This book was released on 2023-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference text addresses different applications of computational neurosciences using artificial intelligence, deep learning, and other machine learning techniques to fine-tune the models thereby solving the real-life problems prominently. It will further discuss important topics such as neural rehabilitation, brain-computer interfacing, neural control, neural system analysis, and neurobiologically inspired self-monitoring systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, information technology, and biomedical engineering"--

Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques

Author : Begg, Rezaul
Publisher : IGI Global
ISBN 13 : 1591408385
Total Pages : 396 pages
Book Rating : 4.5/5 (914 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques by : Begg, Rezaul

Download or read book Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques written by Begg, Rezaul and published by IGI Global. This book was released on 2006-02-28 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides information regarding state-of-the-art research outcomes and cutting-edge technology on various aspects of the human movement"--Provided by publisher.

Biosignal Processing and Classification Using Computational Learning and Intelligence

Author : Alejandro A. Torres-García
Publisher : Academic Press
ISBN 13 : 0128204281
Total Pages : 538 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Biosignal Processing and Classification Using Computational Learning and Intelligence by : Alejandro A. Torres-García

Download or read book Biosignal Processing and Classification Using Computational Learning and Intelligence written by Alejandro A. Torres-García and published by Academic Press. This book was released on 2021-09-18 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One is an introduction to biosignals and Part Two describes the relevant techniques for biosignal processing, feature extraction and feature selection/dimensionality reduction. Part Three presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described in Part Four. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications and reviews in which these techniques have been successfully applied to the biosignals’ domain, including EEG-based Brain-Computer Interfaces (BCI) focused on P300 and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEGbased ADHD identification among others. Provides coverage of the fundamentals of signal processing, including sensing the heart, sending the brain, sensing human acoustic, and sensing other organs Includes coverage biosignal pre-processing techniques such as filtering, artifiact removal, and feature extraction techniques such as Fourier transform, wavelet transform, and MFCC Covers the latest techniques in machine learning and computational intelligence, including Supervised Learning, common classifiers, feature selection, dimensionality reduction, fuzzy logic, neural networks, Deep Learning, bio-inspired algorithms, and Hybrid Systems Written by engineers to help engineers, computer scientists, researchers, and clinicians understand the technology and applications of computational learning to biosignal processing

The Application of Artificial Intelligence in Brain-Computer Interface and Neural System Rehabilitation

Author : Fangzhou Xu
Publisher : Frontiers Media SA
ISBN 13 : 2832539025
Total Pages : 232 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis The Application of Artificial Intelligence in Brain-Computer Interface and Neural System Rehabilitation by : Fangzhou Xu

Download or read book The Application of Artificial Intelligence in Brain-Computer Interface and Neural System Rehabilitation written by Fangzhou Xu and published by Frontiers Media SA. This book was released on 2023-11-15 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Brain-Computer Interfaces in Intelligent Technologies

Author : Szczepan Paszkiel
Publisher : Springer Nature
ISBN 13 : 3031055012
Total Pages : 117 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Applications of Brain-Computer Interfaces in Intelligent Technologies by : Szczepan Paszkiel

Download or read book Applications of Brain-Computer Interfaces in Intelligent Technologies written by Szczepan Paszkiel and published by Springer Nature. This book was released on 2022-07-08 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: The BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers. In addition, the application of BCI technology in the field of intelligent houses, robotic lines as well as in the field of bionic prostheses was presented. One of the chapters of the monograph also discusses the issue of fMRI in the context of the possibility of analyzing images made as part of fMRI through solutions based on machine learning. A practical implementation of the TensorFlow framework was presented. The fMRI technique is also often implemented in BCI solutions. The conducted literature studies show that the technology of BCI is undoubtedly a technology of the future. However, there is a need for continuous development of biomedical signal processing methods in order to obtain the most efficient implementations in the case of non-invasive implementation of BCI technology based on EEG. The further development of BCI technology has a huge impact on the techniques of rehabilitation of people with disabilities. Nowadays, wheelchairs are being constructed, thanks to which a disabled person is physically able to direct his position in a certain direction and at a certain speed. Thanks to BCI, it is also possible to create an individual speech synthesizer, with the help of which a paralyzed person will be able to communicate with the outside world. New limb prostheses that will replace the lost locomotor system in almost one hundred percent are still being developed. Some prostheses are connected to the human nervous system, thanks to which they are able to send feedback to our brain about the shape, hardness and temperature of the object held in the artificial limb.

Intelligent Interactive Multimedia Systems for e-Healthcare Applications

Author : Amit Kumar Tyagi
Publisher : Springer Nature
ISBN 13 : 9811665427
Total Pages : 451 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Interactive Multimedia Systems for e-Healthcare Applications by : Amit Kumar Tyagi

Download or read book Intelligent Interactive Multimedia Systems for e-Healthcare Applications written by Amit Kumar Tyagi and published by Springer Nature. This book was released on 2021-11-15 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.

High Dimensional Neurocomputing

Author : Bipin Kumar Tripathi
Publisher : Springer
ISBN 13 : 8132220749
Total Pages : 179 pages
Book Rating : 4.1/5 (322 download)

DOWNLOAD NOW!

Book Synopsis High Dimensional Neurocomputing by : Bipin Kumar Tripathi

Download or read book High Dimensional Neurocomputing written by Bipin Kumar Tripathi and published by Springer. This book was released on 2014-11-05 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence.

Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications

Author : José Manuel Ferrández Vicente
Publisher : Springer Nature
ISBN 13 : 3031062426
Total Pages : 675 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications by : José Manuel Ferrández Vicente

Download or read book Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications written by José Manuel Ferrández Vicente and published by Springer Nature. This book was released on 2022-05-24 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.

Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

Author : Rajesh Kumar Tripathy
Publisher : CRC Press
ISBN 13 : 1040028772
Total Pages : 227 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing by : Rajesh Kumar Tripathy

Download or read book Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing written by Rajesh Kumar Tripathy and published by CRC Press. This book was released on 2024-06-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.

Advanced Methods and Applications for Neurointelligence

Author : Manning Wang
Publisher : Frontiers Media SA
ISBN 13 : 2832549861
Total Pages : 169 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Advanced Methods and Applications for Neurointelligence by : Manning Wang

Download or read book Advanced Methods and Applications for Neurointelligence written by Manning Wang and published by Frontiers Media SA. This book was released on 2024-05-31 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurointelligence techniques play a key role in building general artificial intelligence systems. Some researchers and engineers have tried to design novel bio-inspired algorithms and hardware by mimicking the working principles of biological nervous systems. Benefiting from the progress in representational learning, neuroscience, and computational hardware, bio-inspired research has greatly contributed to the development of neurointelligence. Currently, advanced bio-inspired methods have been widely applied in robotics, visual scene understanding, medical image analysis, human-machine interaction and so on. Moreover, neurointelligence covers interdisciplinary topics with neuroscience, robotics, artificial intelligence, cognitive science, machine learning, and pattern recognition. This research topic is intended to provide a better understanding of the opportunities, challenges, and promising future directions for neurointelligence.

Machine Learning

Author : Andrea Mechelli
Publisher : Academic Press
ISBN 13 : 0128157402
Total Pages : 412 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning by : Andrea Mechelli

Download or read book Machine Learning written by Andrea Mechelli and published by Academic Press. This book was released on 2019-11-14 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools for assisting the diagnosis and treatment of patients with brain disorders. Machine Learning: Methods and Applications to Brain Disorders provides an up-to-date overview of how these methods can be applied to brain disorders, including both psychiatric and neurological disease. This book is written for a non-technical audience, such as neuroscientists, psychologists, psychiatrists, neurologists and health care practitioners. Provides a non-technical introduction to machine learning and applications to brain disorders Includes a detailed description of the most commonly used machine learning algorithms as well as some novel and promising approaches Covers the main methodological challenges in the application of machine learning to brain disorders Provides a step-by-step tutorial for implementing a machine learning pipeline to neuroimaging data in Python