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Author: Nilesh Kulkarni
Publisher: Academic Press
ISBN: 0128153938
Category : Technology & Engineering
Languages : en
Pages : 110
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Book Description
EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer’s Disease early, presenting new and innovative results in the extraction and classification of Alzheimer’s Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer’s Disease. Includes the mathematical models and rigorous analysis of various classifiers and machine learning algorithms from a perspective of clinical deployment Covers the history of EEG signals and their measurement and recording, along with their uses in clinical diagnostics Analyzes spectral, wavelet, complexity and other features of early and efficient Alzheimer’s Disease diagnostics Explores support vector machine-based classification to increase accuracy
Author: Nilesh Kulkarni
Publisher: Academic Press
ISBN: 0128153938
Category : Technology & Engineering
Languages : en
Pages : 110
Get Book
Book Description
EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer’s Disease early, presenting new and innovative results in the extraction and classification of Alzheimer’s Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer’s Disease. Includes the mathematical models and rigorous analysis of various classifiers and machine learning algorithms from a perspective of clinical deployment Covers the history of EEG signals and their measurement and recording, along with their uses in clinical diagnostics Analyzes spectral, wavelet, complexity and other features of early and efficient Alzheimer’s Disease diagnostics Explores support vector machine-based classification to increase accuracy
Author: Brijesh Iyer
Publisher: Springer Nature
ISBN: 9811620083
Category : Technology & Engineering
Languages : en
Pages : 601
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Book Description
This book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.
Author: Hojjat Adeli
Publisher: CRC Press
ISBN: 1439815321
Category : Medical
Languages : en
Pages : 424
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Book Description
Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of thr
Author: Nagehan Ersoy Tunalı
Publisher: BoD – Books on Demand
ISBN: 1838801499
Category : Science
Languages : en
Pages : 180
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Book Description
Neurodegenerative diseases represent a very large group of heterogeneous disorders affecting specific subtypes of neurons in the brain. This book contributes insight both to the awareness of the brain and its neurodegenerative states. The chapters present current knowledge regarding genetics, molecular mechanisms, and new therapeutic strategies against neurodegenerative disorders. The book is intended to serve as a source to aid clinicians and researchers in the field, and also life science readers to increase their understanding and awareness of the clinical correlations, genetic aspects, neuropathological findings, and current therapeutic interventions in neurodegenerative diseases. I believe that this book will enlighten the curiosity for neurodegeneration and also encourage researchers to work on potentially effective molecular therapies for still mysterious neurodegenerative disorders.
Author: De-Shuang Huang
Publisher: Springer
ISBN: 3319093304
Category : Computers
Languages : en
Pages : 510
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Book Description
This book – in conjunction with the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 58 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as machine learning; neural networks; image processing; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene bioinformatics: analysis, algorithms, applications.
Author: Saeid Sanei
Publisher: John Wiley & Sons
ISBN: 1118691237
Category : Science
Languages : en
Pages : 312
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Book Description
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799834425
Category : Medical
Languages : en
Pages : 671
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Book Description
Cognitive impairment, through Alzheimer’s disease or other related forms of dementia, is a serious concern for afflicted individuals and their caregivers. Understanding patients’ mental states and combatting social stigmas are important considerations in caring for cognitively impaired individuals. Technology is playing an increasing role in the lives of the elderly. One of the most prevalent developments for the aging population is the use of technological innovations for intervention and treatment of individuals with mental impairments. Research Anthology on Diagnosing and Treating Neurocognitive Disorders examines the treatment, diagnosis, prevention, and therapeutic and technological interventions of neurodegenerative disorders. It also describes programs and strategies that professional and family caregivers can implement to engage and improve the quality of life of persons suffering from cognitive impairment. Highlighting a range of topics such as dementia, subjective wellbeing, and cognitive decline, this publication is an ideal reference source for speech pathologists, social workers, occupational therapists, psychologists, psychiatrists, neurologists, pediatricians, researchers, clinicians, and academicians seeking coverage on neurocognitive disorder identification and strategies for clinician support and therapies.
Author: Anand J. Kulkarni
Publisher: Springer
ISBN: 9811316104
Category : Technology & Engineering
Languages : en
Pages : 717
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Book Description
This book features research work presented at the 2nd International Conference on Data Engineering and Communication Technology (ICDECT) held on December 15–16, 2017 at Symbiosis International University, Pune, Maharashtra, India. It discusses advanced, multi-disciplinary research into smart computing, information systems and electronic systems, focusing on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide feasible solutions to varied problems in society, the environment and industry. It also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in a variety of disciplines of computer science and electronics engineering.
Author: Aamir Saeed Malik
Publisher: Academic Press
ISBN: 9780128174203
Category : Medical
Languages : en
Pages : 0
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Book Description
EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for diagnosis and assessment of treatment efficacy for a variety of conditions. With a unique combination of background and practical perspectives for the use of automated EEG methods for mental illness, it details for readers how to design a successful experiment, providing experiment designs for both clinical and behavioral applications. This book details the EEG-based functional connectivity correlates for several conditions, including depression, anxiety, and epilepsy, along with pathophysiology of depression, underlying neural circuits and detailed options for diagnosis. It is a necessary read for those interested in developing EEG methods for addressing challenges for mental illness and researchers exploring automated methods for diagnosis and objective treatment assessment.
Author: Dan Silverman
Publisher: Springer Science & Business Media
ISBN: 0387764208
Category : Medical
Languages : en
Pages : 221
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Book Description
Among all the clinical indications for which radiologists, nuclear medicine phy- cians, neurologists, neurosurgeons, psychiatrists (and others examining disorders of the brain) order and read brain PET scans, demand is greatest for those pertaining to dementia and related disorders. This demand is driven by the sheer prevalence of those conditions, coupled with the fact that the differential diagnosis for causes of cognitive impairment is wide and often difficult to distinguish clinically. The conceptual framework by which evaluation and management of dementia is guided has evolved considerably during the last decade. Although we still are far from having ideal tests or dramatic cures for any of the established causes of dementia, our options have expanded with respect to both the diagnostic and the- peutic tools now available. In the first chapter of this book, the contribution and limitations of different elements of the clinical examination for diagnosis of cog- tive symptoms are described, and the roles of structural and functional neuroim- ing in the clinical workup are given context.
