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Automated EEG-Based Diagnosis of Neurological Disorders, Adeli, Hojjat


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Автор: Adeli, Hojjat
Название:  Automated EEG-Based Diagnosis of Neurological Disorders
ISBN: 9781439815311
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1439815313
Обложка/Формат: Hardback
Страницы: 423
Вес: 0.86 кг.
Дата издания: 09.02.2010
Язык: English
Иллюстрации: 17 tables, black and white; 103 illustrations, black and white
Размер: 244 x 166 x 33
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Inventing the future of neurology
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Поставляется из: Европейский союз


Автор: Tatum William
Название: Handbook of EEG Interpretation, Third Edition
ISBN: 0826147089 ISBN-13(EAN): 9780826147080
Издательство: Mare Nostrum (Eurospan)
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Цена: 16219.00 р.
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Описание: Thoroughly updated and expanded, this is the third edition of the most trusted resource for anyone involved in EEG interpretation. Designed for on-the-go reference in the clinic or at the bedside, Handbook of EEG Interpretation concisely covers the fundamental components of EEG in clinical practice.

Practical guide for clinical neurophysiologic testing: eeg

Автор: Yamada, Thoru
Название: Practical guide for clinical neurophysiologic testing: eeg
ISBN: 1496383028 ISBN-13(EAN): 9781496383020
Издательство: Lippincott Williams & Wilkins
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Цена: 24024.00 р.
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Описание: Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product.

Ideal for technologists, neurology residents, and clinical neurophysiology fellows, Practical Guide for Clinical Neurophysiologic Testing: EEG, 2nd Edition, provides comprehensive, up-to-date guidance on electroencephalography technology and interpretation. From key foundational knowledge such as basic electronics and recording techniques, to new videos and new ACNS guidelines, this reference is a highly regarded go-to guide for using this essential neurodiagnostic tool to its fullest potential.

Features:

  • Covers the technical aspects of electroneurodiagnosis as well as its clinical applications and diagnostic utilities for various central nervous system disorders.
  • Emphasizes pattern recognition, artifact recognition, technical pitfalls, and the clinical correlates of electroencephalography, including material that assists in recognizing specific artifacts.
  • Reflects the latest ACNS guidelines for EEG pattern nomenclature.
  • Features an all-new chapter on long-term monitoring of acutely ill patients: Continuous Critical Care EEG (CCEEG).
  • Includes a companion website featuring a question bank and approximately 60 videos on topics from artifact to seizures, including 20 new videos exploring patient behavior as it relates to EEG interpretation.
  • Contains an extensive collection of EEG figures to familiarize readers with variables they're likely to encounter.
Your book purchase includes a complimentary download of the enhanced eBook for iOS, Android, PC & Mac. Take advantage of these practical features that will improve your eBook experience:
  • The ability to download the eBook on multiple devices at one time -- providing a seamless reading experience online or offline
  • Powerful search tools and smart navigation cross-links that allow you to search within this book, or across your entire library of VitalSource eBooks
  • Multiple viewing options that enable you to scale images and text to any size without losing page clarity as well as responsive design
  • The ability to highlight text and add notes with one click
Neurological SyndromesA Clinical Guide to Symptoms and Diagnosis

Автор: Millichap, J. Gordon
Название: Neurological SyndromesA Clinical Guide to Symptoms and Diagnosis
ISBN: 1461477859 ISBN-13(EAN): 9781461477853
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book offers a concise resource for understanding how a group of neurologic symptoms or signs collectively characterize a disease or disorder. It provides a definition of each syndrome that includes diagnostic characteristics and genetic considerations.

MEG-EEG Primer

Автор: Hari, Riitta Puce, Aina
Название: MEG-EEG Primer
ISBN: 0190497777 ISBN-13(EAN): 9780190497774
Издательство: Oxford Academ
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Цена: 14573.00 р.
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Описание: Magnetoencephalography (MEG) and electroencephalography (EEG) provide complementary views to the neurodynamics of healthy and diseased human brains. Both methods are totally noninvasive and can track with millisecond temporal resolution spontaneous brain activity, evoked responses to various
sensory stimuli, as well as signals associated with the performance of motor, cognitive and affective tasks.

MEG records the magnetic fields, and EEG the potentials associated with the same neuronal currents, which however are differentially weighted due to the physical and physiological differences between the methods. MEG is rather selective to activity in the walls of cortical folds, whereas EEG senses
currents from the cortex (and brain) more widely, making it harder to pinpoint the locations of the source currents in the brain. Another important difference between the methods is that skull and scalp dampen and smear EEG signals, but do not affect MEG. Hence, to fully understand brain function,
information from MEG and EEG should be combined. Additionally, the excellent neurodynamical information these two methods provide can be merged with data from other brain-imaging methods, especially functional magnetic resonance imaging where spatial resolution is a major strength.

MEG-EEG Primer is the first-ever volume to introduce and discuss MEG and EEG in a balanced manner side-by-side, starting from their physical and physiological bases and then advancing to methods of data acquisition, analysis, visualization, and interpretation. The authors pay special attention to
careful experimentation, guiding readers to differentiate brain signals from various artifacts and to assure that the collected data are reliable. The book weighs the strengths and weaknesses of MEG and EEG relative to one another and to other methods used in systems, cognitive, and social
neuroscience. The authors also discuss the role of MEG and EEG in the assessment of brain function in various clinical disorders. The book aims to bring members of multidisciplinary research teams onto equal footing so that they can contribute to different aspects of MEG and EEG research and to be
able to participate in future developments in the field.

Brain Signals: Physics and Mathematics of Meg and Eeg

Автор: Ilmoniemi Risto, Sarvas Jukka
Название: Brain Signals: Physics and Mathematics of Meg and Eeg
ISBN: 0262039826 ISBN-13(EAN): 9780262039826
Издательство: MIT Press
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Цена: 11004.00 р.
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Описание: A unified treatment of the generation and analysis of brain-generated electromagnetic fields.

Diagnosis of Neurological Disorders Based on Deep Learning Techniques

Автор: Chaki, Jyotismita
Название: Diagnosis of Neurological Disorders Based on Deep Learning Techniques
ISBN: 1032325232 ISBN-13(EAN): 9781032325231
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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EEG-Based Diagnosis of Alzheimer Disease

Автор: Kumar, Nilesh
Название: EEG-Based Diagnosis of Alzheimer Disease
ISBN: 012815392X ISBN-13(EAN): 9780128153925
Издательство: Elsevier Science
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Цена: 15487.00 р.
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Описание: 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.

Early Detection of Neurological Disorders Using Machine Learning Systems

Автор: Paul Sudip, Bhattacharya Pallab, Bit Arindam
Название: Early Detection of Neurological Disorders Using Machine Learning Systems
ISBN: 1522585672 ISBN-13(EAN): 9781522585671
Издательство: Mare Nostrum (Eurospan)
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Цена: 38808.00 р.
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Описание: While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

Pitfalls in the Diagnosis of Neurological Disorders

Автор: Ambar Chakravarty
Название: Pitfalls in the Diagnosis of Neurological Disorders
ISBN: 9354656668 ISBN-13(EAN): 9789354656668
Издательство: JayPee Brothers India
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Цена: 15926.00 р.
Наличие на складе: Нет в наличии.

Описание: Mass Insanity is a factual and provocative book; a manual for understanding the Islamisation of the West, mass immigration, indoctrinated societies. Can a society become morally insane? An analysis of a warped rationale, the clash of identities, and their effect on our lives. One of the most important scientific yet accessible works of the decade.

Handbook of EEG. 2nd ed.

Автор: Tatum, William O., IV
Название: Handbook of EEG. 2nd ed.
ISBN: 1620700166 ISBN-13(EAN): 9781620700167
Издательство: Mare Nostrum (Eurospan)
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Цена: 10672.00 р.
Наличие на складе: Нет в наличии.

Описание: A trusted resource for anyone involved in EEG interpretation, this compact handbook is designed for on-the-go reference. Covering the essential components of EEG in clinical practice, the book provides graphic examples of classic EEG presentations with essential text points of critical information to enhance reading skills to aid in improving patient outcomes. Authored by prominent experts in clinical neurophysiology, this second edition is updated to reflect current advances in ICU and intraoperative monitoring and includes new chapters on polysomnography, status epilepticus, and pediatric EEG. The Handbook of EEG Interpretation, Second Edition fits in a lab coat pocket to facilitate immediate information retrieval during bedside, OR, ER, and ICU EEG interpretation. It is divided into eight sections that cover all major EEG topics including normal and normal variants,, epileptiform and nonepileptiform abnormalities, seizures and status epilepticus, ICU EEG, sleep, and intraoperative monitoring. Each chapter highlights the principal challenges involved with a particular type of EEG interpretation. Consistently formatted and packed with practical tips, this handbook is a highly useful tool for residents, fellows, clinicians, and neurophysiology technologists looking for quick and reliable EEG information, regardless of specialty or level of training. Key Features of Handbook of EEG Interpretation, Second Edition: Updated and expanded to reflect advances in clinical EEG applications, including three new dedicated chaptersAddresses all areas of EEG interpretation in a concise, pocket-sized, easy-to-access formatProvides organised information and a visual approach to identifying EEG waveforms and understanding their clinical significancePresents information consistently for structured review and rapid retrievalIncludes practical tips by notable experts throughout

The role of EEG in the diagnosis and classification of the epilepsies and the epilepsy syndromes: A tool for clinical practice

Автор: Michalis Koutroumanidis
Название: The role of EEG in the diagnosis and classification of the epilepsies and the epilepsy syndromes: A tool for clinical practice
ISBN: 2742016791 ISBN-13(EAN): 9782742016792
Издательство: Gazelle Book Services
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Цена: 13940.00 р.
Наличие на складе: Поставка под заказ.

Описание: EEG features of all epilepsy syndromes, proposes recording protocols based on the behaviour of the diagnostic EEG features in each syndrome, and rates diagnostic confidence according to the findings in hand and the available clinical information. In this second edition, the first new part discusses the clinical approach to the diagnosis of the patient presenting with a probable epileptic seizure and the use of the EEG to support and refine (or refute) the initial hypothesis. It also explores the when and how to use the EEG (and avoid its overuse), once differential diagnosis includes the commonest imitators of epilepsy. Finally, it describes the EEG paroxysms of uncertain clinical significance to avoid over-interpretation when they appear to be the main (or the sole) EEG abnormality and the clinical picture offers little clarity. The revised second part was published on its own in 2018 and includes the epilepsy syndromes that are recognised by the ILAE from the neonatal period to adulthood. Because it covers the indications and the optimal use of the EEG from the initial diagnostic level of does my patient have epilepsy and, if yes, what is its type? to the highest diagnostic refinement , this book can be a useful educational and clinical tool, full of practical information, tips and clues to improve the readers recording techniques and strategies. From paediatric and adult epileptologists, EEG technologists, neurology and clinical neurophysiology residents to physicians and nurses, a wide range of professionals can use it as a reference guide on a daily basis.

Evidence–Based Neurology: Management of Neurological Disorders

Автор: Bart Demaerschalk,Dean Wingerchuk
Название: Evidence–Based Neurology: Management of Neurological Disorders
ISBN: 0470657782 ISBN-13(EAN): 9780470657782
Издательство: Wiley
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Цена: 16307.00 р.
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Описание: From an expert editor team drawn from the Cochrane Neurological Network, Evidence-Based Neurology provides specialists and those in training with the skills and knowledge to apply evidence-based practice in the clinical setting.


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