Computational Intelligence And Deep Learning Methods For Neuro Rehabilitation Applications
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Computational Intelligence And Deep Learning Methods For Neuro Rehabilitation Applications
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Author : D. Jude Hemanth
language : en
Publisher: Elsevier
Release Date : 2023-11-14
Computational Intelligence And Deep Learning Methods For Neuro Rehabilitation Applications written by D. Jude Hemanth and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-14 with Science categories.
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 Neuroscience For Advancing Artificial Intelligence Models Methods And Applications
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Author : Alonso, Eduardo
language : en
Publisher: IGI Global
Release Date : 2010-11-30
Computational Neuroscience For Advancing Artificial Intelligence Models Methods And Applications written by Alonso, Eduardo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-30 with Computers categories.
"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"--
Innovative Neurodiagnostics And Therapeutics
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Author : Pankaj Kalita
language : en
Publisher: CRC Press
Release Date : 2025-08-05
Innovative Neurodiagnostics And Therapeutics written by Pankaj Kalita and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-05 with Science categories.
This book presents the latest technological advancements in the understanding and diagnosis of neurological disorders. The chapters provide the complexities of diagnosis, understanding pathogenesis, and unveiling the latest therapeutic strategies against neurodegenerative disorders. Innovative Neurodiagnostics and Therapeutics: Understanding and Advancing Treatment for Neurological Disorders also explores the transformative role of optogenetics, nanoarchitectonics, machine learning, and artificial intelligence in neurodiagnosis. Metal organic frameworks are explored for their prospective applications in neuroscience. The book continues to unfold with a focus on robotic advancements in neurotherapeutics, offering comprehensive insights into the cutting edge of neurotherapeutic interventions. The complex interplay between neurodiagnostics and psychodiagnostics is explored in the context of substance use disorders. The book concludes by examining the potential of aquaporin as a therapeutic target in neurological disorders. As such, this book is an invaluable source for neuroscientists, neurologists, and computational biologists.
Inventive Communication And Computational Technologies
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Author : G. Ranganathan
language : en
Publisher: Springer Nature
Release Date : 2024-12-14
Inventive Communication And Computational Technologies written by G. Ranganathan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-14 with Computers categories.
This book gathers selected papers presented at the 8th International Conference on Inventive Communication and Computational Technologies (ICICCT 2024), held on June 14–15, 2024, at Sree Sakthi Engineering College, Coimbatore, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.
Computing Technologies For Sustainable Development
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Author : Prasanna Devi Sivakumar
language : en
Publisher: Springer Nature
Release Date : 2025-02-14
Computing Technologies For Sustainable Development written by Prasanna Devi Sivakumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Computers categories.
This book constitutes the refereed proceedings of the First International Research Conference on Computing Technologies for Sustainable Development, IRCCTSD 2024, held in Chennai, India, during May 9–10, 2024. The 65 full papers and 14 short papers presented here were carefully selected and reviewed from 264 submissions. These papers have been organized in the following topical sections: Part I: innovations in precision agriculture techniques and strategies for enhancing agriculture production; classification and prediction analysis in healthcare; animal welfare; and innovations in diagnostics. Part II: video and image processing for security analysis; innovations for smart cities; sustainable practices in e-commerce: challenges and trends. Part III: environmental analysis and protection; inclusive communication techniques; AI for text, audio, image and video processing; and application of AI for education.
Predictive Algorithms For Rehabilitation And Assistive Systems
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Author : Korupalli, V. Rajesh Kumar
language : en
Publisher: IGI Global
Release Date : 2025-05-21
Predictive Algorithms For Rehabilitation And Assistive Systems written by Korupalli, V. Rajesh Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.
Advances in predictive algorithms have been integrated into the development and optimization of rehabilitation and assistive technologies. When applied, predictive algorithms, as well as machine learning (ML) models and data analytics, have the potential to create personalized rehabilitation programs and devices. They are important for enhancing the rehabilitation process and improving patient outcomes. As a result, predictive analytics are crucial to advancing healthcare solutions and the field of biomedical engineering. Predictive Algorithms for Rehabilitation and Assistive Systems provides valuable insights into how data-driven approaches can enhance the efficacy of rehabilitation processes, improve patient outcomes, and foster innovation in assistive technology development. Covering topics such as response patterns, maladaptive pain perception, and disease prediction, this book is an excellent resource for biomedical engineers, medical practitioners, policymakers, professionals, researchers, scholars, academicians, and more.
Innovations In Biomedical Engineering
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Author : Shubham Mahajan
language : en
Publisher: Elsevier
Release Date : 2025-03-03
Innovations In Biomedical Engineering written by Shubham Mahajan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Science categories.
Innovations in Biomedical Engineering: Trends in Scientific Advances and Application addresses the burgeoning demand for a comprehensive resource that not only showcases the latest advancements in this dynamic field but also shows how these innovations can be effectively translated into real-world applications. In essence, the book acts as a bridge, connecting discoveries, research, and innovations in biomedical engineering to tangible, real-world applications. - Provides a comprehensive overview of the most recent advancements in biomedical engineering - Includes real-world case studies that offer insights into the practical application of these innovations - Presents in-depth discussions on ethical and regulatory considerations that are guiding biomedical engineering - Discusses the key theme of collaboration between engineers and clinicians
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises
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Author : Abhishek Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises written by Abhishek Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.
Intelligent Interactive Multimedia Systems For E Healthcare Applications
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Author : Amit Kumar Tyagi
language : en
Publisher: Springer Nature
Release Date : 2021-11-15
Intelligent Interactive Multimedia Systems For E Healthcare Applications written by Amit Kumar Tyagi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-15 with Technology & Engineering categories.
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.
Augmenting Neurological Disorder Prediction And Rehabilitation Using Artificial Intelligence
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Author : Anitha S. Pillai
language : en
Publisher: Academic Press
Release Date : 2022-02-23
Augmenting Neurological Disorder Prediction And Rehabilitation Using Artificial Intelligence written by Anitha S. Pillai and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-23 with Science categories.
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