Seizure Forecasting And Detection Computational Models Machine Learning And Translation Into Devices
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Seizure Forecasting And Detection Computational Models Machine Learning And Translation Into Devices
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Author : Sharon Chiang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-31
Seizure Forecasting And Detection Computational Models Machine Learning And Translation Into Devices written by Sharon Chiang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-31 with Medical categories.
Computational Neuroscience In Epilepsy
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Author : Ivan Soltesz
language : en
Publisher: Academic Press
Release Date : 2011-09-02
Computational Neuroscience In Epilepsy written by Ivan Soltesz and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-02 with Science categories.
Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. - Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures - Contributors are top experts at the forefront of computational epilepsy research - Chapter contents are highly relevant to both basic and clinical epilepsy researchers
The Brain Code
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Author : Xena Mindhurst
language : en
Publisher: Publifye AS
Release Date : 2025-02-12
The Brain Code written by Xena Mindhurst and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-12 with Science categories.
""The Brain Code"" embarks on a journey to understand the complex neural networks and neuronal communication that underpin intelligence, decision-making, and consciousness. It argues that deciphering the brain's code is fundamental to unlocking the biological basis of thought and behavior. The book bridges molecular neuroscience and cognitive psychology, offering a framework for interpreting brain activity, emphasizing how neurons interact to form complex networks that drive cognitive functions. For example, understanding synaptic plasticity can reveal how our brains adapt and learn from new experiences. The book progresses logically, beginning with the fundamental building blocks of the brain, neurons and synapses, and advancing to explore various brain regions and their specific functions, such as sensory processing and motor control. It delves into how the brain processes information, examining neural circuits involved in perception, memory, and decision-making. Supported by neurophysiology, neuroimaging, and computational neuroscience research, ""The Brain Code"" provides a cohesive framework for understanding brain function at multiple levels, making it valuable for students, researchers, and anyone interested in the biological basis of thought.
Advances In Computational Intelligence For Health Informatics And Computer Aided Diagnosis
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Author : A. Malini
language : en
Publisher: CRC Press
Release Date : 2025-04-23
Advances In Computational Intelligence For Health Informatics And Computer Aided Diagnosis written by A. Malini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Medical categories.
This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis (CAD). The book explores and highlights the latest advancements, methodologies, applications, and tools in these fields. Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools covers a broad spectrum of computational intelligence approaches, from basic concepts to advanced methodologies. The focus on health informatics reflects the book's commitment to researching data integration, privacy issues, and interoperability issues that are crucial in today's healthcare landscape. The book's core is its in-depth examination of CAD systems, which encompasses numerous healthcare sectors and underlines the technological complexity involved in building accurate and efficient diagnostic tools. Some of the other key areas covered include: medical imaging analysis, disease identification and diagnosis, and drug research and development. It also provides case studies that demonstrate how computational intelligence methods are applied in real-world healthcare scenarios, giving readers a practical understanding of the subject matter. The authors then discuss future trends and directions in computational intelligence for health informatics. The book is designed to serve as a guide to for academics, professionals, and students who are curious about the challenges of integrating contemporary computational approaches into medical diagnostics and decision support.
Artificial Intelligence For Neurological Disorders
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Author : Ajith Abraham
language : en
Publisher: Academic Press
Release Date : 2022-09-23
Artificial Intelligence For Neurological Disorders written by Ajith Abraham and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-23 with Medical categories.
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
Reimagining Medical Education The Future Of Health Equity And Social Justice E Book
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Author : Eduardo Bonilla-Silva
language : en
Publisher: Elsevier Health Sciences
Release Date : 2024-09-18
Reimagining Medical Education The Future Of Health Equity And Social Justice E Book written by Eduardo Bonilla-Silva and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Medical categories.
Inequities in health care and medical education have a long and complex history involving racism, sexism, ableism, exclusivity, and other forms of social injustice. Reimagining Medical Education: The Future of Health Equity and Social Justice, externally commissioned by the American Medical Association and part of the AMA MedEd Innovation Series, explores and addresses these ongoing issues. Using both theoretical and practical approaches, medical educators share a vision of medical education through a social justice lens. The resulting volume focuses on equity throughout medical education: improving the diversity of the student, faculty, and health workforce and ameliorating inequitable outcomes among minoritized and marginalized patient populations. This unique, change-oriented text . . .• From the theoretical to the practical, a diverse team of authors outline what an equitable future for medical education and health care can be. • A thought-provoking account of the negative impact of centuries of asymmetry of power. • As part of the AMA MedEd Innovations series, an aspirational vision of a just system for recruiting, training, and empowering the next generation of care providers and how to impact change at the individual, institutional, and population levels.
Smart Healthcare Clinical Diagnostics And Bioprinting Solutions For Modern Medicine
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Author : Jain, Parag
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Smart Healthcare Clinical Diagnostics And Bioprinting Solutions For Modern Medicine written by Jain, Parag and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Medical categories.
The concept of smart healthcare is considerably optimistic thanks to the applications of artificial intelligence as well as augmented and virtual reality (AR/VR) which work in tandem to enhance better results and better delivery of care. The algorithm developed with the help of modern technology is aimed at analyzing and interpreting a significant volume of clinical healthcare data with the aim of enhancing diagnosis and practices. Additionally, 3-dimesional (3D) bioprinting is revolutionizing healthcare by fabricating biological tissues and organs for clinical regenerative medicine and surgical advances. Thus, personalized medicine can go a step further with providing clinical treatments that have specific doses and drugs combinations of the patients in need. Smart Healthcare, Clinical Diagnostics, and Bioprinting Solutions for Modern Medicine explores the revolution that smart healthcare is having on the improvement of management of hospitals through increased operational efficiency, adequate conformation of resources, and smooth patient flows. It advances processes that are utilized in clinical diagnosis with the aid of predictive modelling with best practices. Covering topics such as disease prediction, remote healthcare monitoring, and intelligent healthcare supply chains, this book is an excellent resource for policymakers, clinicians, information technologists, data scientists, biomedical engineers, professionals, researchers, scholars, academicians, and more.
Signal Processing Strategies
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Author : Ayman S. El-Baz
language : en
Publisher: Elsevier
Release Date : 2024-11-02
Signal Processing Strategies written by Ayman S. El-Baz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-02 with Technology & Engineering categories.
Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. - Presents Neural Engineering techniques applied to Signal Processing, including featureextraction methods and classification algorithms in BCI for motor imagery tasks - Includes in-depth technical coverage of disruptive neurocircuitry, including neurocircuitry of stress integration, role of basal ganglia neurocircuitry in pathology of psychiatric disorders, and neurocircuitry of anxiety in obsessive-compulsive disorder - Covers neural signal processing data analysis and neuroprosthetics applications, including EEG-based BCI paradigms, EEG signal processing in anesthesia, neural networks for intelligent signal processing, and a variety of neuroprosthetic applications - Written by engineers to help engineers, computer scientists, researchers, and clinicians understand the technology and applications of signal processing
Software Engineering In Iot Big Data Cloud And Mobile Computing
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Author : Haengkon Kim
language : en
Publisher: Springer Nature
Release Date : 2020-12-26
Software Engineering In Iot Big Data Cloud And Mobile Computing written by Haengkon Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-26 with Computers categories.
This edited book presents scientific results of the International Semi-Virtual Workshop on Software Engineering in IoT, Big data, Cloud and Mobile Computing (SE-ICBM 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.
Deep Learning Techniques Applied To Affective Computing
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Author : Zhen Cui
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-14
Deep Learning Techniques Applied To Affective Computing written by Zhen Cui and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Science categories.
Affective computing refers to computing that relates to, arises from, or influences emotions. The goal of affective computing is to bridge the gap between humans and machines and ultimately endow machines with emotional intelligence for improving natural human-machine interaction. In the context of human-robot interaction (HRI), it is hoped that robots can be endowed with human-like capabilities of observation, interpretation, and emotional expression. The research on affective computing has recently achieved extensive progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing concentrates on estimating human emotions through different forms of signals such as speech, face, text, EEG, fMRI, and many others. In neuroscience, the neural mechanisms of emotion are explored by combining neuroscience with the psychological study of personality, emotion, and mood. In psychology and philosophy, emotion typically includes a subjective, conscious experience characterized primarily by psychophysiological expressions, biological reactions, and mental states. The multi-disciplinary features of understanding “emotion” result in the fact that inferring the emotion of humans is definitely difficult. As a result, a multi-disciplinary approach is required to facilitate the development of affective computing. One of the challenging problems in affective computing is the affective gap, i.e., the inconsistency between the extracted feature representations and subjective emotions. To bridge the affective gap, various hand-crafted features have been widely employed to characterize subjective emotions. However, these hand-crafted features are usually low-level, and they may hence not be discriminative enough to depict subjective emotions. To address this issue, the recently-emerged deep learning (also called deep neural networks) techniques provide a possible solution. Due to the used multi-layer network structure, deep learning techniques are capable of learning high-level contributing features from a large dataset and have exhibited excellent performance in multiple application domains such as computer vision, signal processing, natural language processing, human-computer interaction, and so on. The goal of this Research Topic is to gather novel contributions on deep learning techniques applied to affective computing across the diverse fields of psychology, machine learning, neuroscience, education, behavior, sociology, and computer science to converge with those active in other research areas, such as speech emotion recognition, facial expression recognition, Electroencephalogram (EEG) based emotion estimation, human physiological signal (heart rate) estimation, affective human-robot interaction, multimodal affective computing, etc. We welcome researchers to contribute their original papers as well as review articles to provide works regarding the neural approach from computation to affective computing systems. This Research Topic aims to bring together research including, but not limited to: • Deep learning architectures and algorithms for affective computing tasks such as emotion recognition from speech, face, text, EEG, fMRI, and many others. • Explainability of deep Learning algorithms for affective computing. • Multi-task learning techniques for emotion, personality and depression detection, etc. • Novel datasets for affective computing • Applications of affective computing in robots, such as emotion-aware human-robot interaction and social robots, etc.