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Analysis and Classification of Eeg Signals for Brain-Computer Interfaces, Paszkiel Szczepan


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Цена: 13974.00р.
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Автор: Paszkiel Szczepan
Название:  Analysis and Classification of Eeg Signals for Brain-Computer Interfaces
ISBN: 9783030305833
Издательство: Springer
Классификация:


ISBN-10: 303030583X
Обложка/Формат: Paperback
Страницы: 132
Вес: 0.20 кг.
Дата издания: 11.09.2020
Серия: Studies in computational intelligence
Язык: English
Издание: 1st ed. 2020
Иллюстрации: Bibliography
Размер: 23.39 x 15.60 x 0.76 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces.


EEG-Based Brain-Computer Interfaces

Автор: Bansal, Dipali
Название: EEG-Based Brain-Computer Interfaces
ISBN: 0128146877 ISBN-13(EAN): 9780128146873
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for control applications, along with the EEG-related advances in BCI. The research and techniques in this book discuss time and frequency domain analysis on deliberate eye-blinking data as the basis for EEG-triggering control applications. In addition, the book provides experimental scenarios and features algorithms for acquiring real-time EEG signals using commercially available units that interface with MATLAB software for acquisition and control.

  • Details techniques for multiple types of analysis (including ERP, scalp map, sub-band power and independent component) to acquire data from deliberate eye-blinking
  • Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios
  • Includes algorithms and scenarios that interface with MATLAB software for interactive use
Brain Seizure Detection and Classification Using EEG Signals

Автор: Harpale Varsha K., Bairagi Vinayak
Название: Brain Seizure Detection and Classification Using EEG Signals
ISBN: 032391120X ISBN-13(EAN): 9780323911207
Издательство: Elsevier Science
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Цена: 22065.00 р.
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Описание:

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT).

The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance.

Eeg Signal Analysis and Classification: Techniques and Applications

Автор: Siuly Siuly, Li Yan, Zhang Yanchun
Название: Eeg Signal Analysis and Classification: Techniques and Applications
ISBN: 3319837915 ISBN-13(EAN): 9783319837918
Издательство: Springer
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Цена: 16838.00 р.
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Описание: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems.

Computational EEG Analysis

Автор: Im
Название: Computational EEG Analysis
ISBN: 9811309078 ISBN-13(EAN): 9789811309076
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.

Biological Signals Classification and Analysis

Автор: Kamran Kiasaleh
Название: Biological Signals Classification and Analysis
ISBN: 3642548784 ISBN-13(EAN): 9783642548789
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems.

Brain Art: Brain-Computer Interfaces for Artistic Expression

Автор: Nijholt Anton
Название: Brain Art: Brain-Computer Interfaces for Artistic Expression
ISBN: 3030143252 ISBN-13(EAN): 9783030143251
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This is the first book on brain-computer interfaces (BCI) that aims to explain how these BCI interfaces can be used for artistic goals. Devices that measure changes in brain activity in various regions of our brain are available and they make it possible to investigate how brain activity is related to experiencing and creating art.

Brain-Computer Interfaces,168

Автор: Ramsey, Nick F.
Название: Brain-Computer Interfaces,168
ISBN: 0444639349 ISBN-13(EAN): 9780444639349
Издательство: Elsevier Science
Рейтинг:
Цена: 37055.00 р.
Наличие на складе: Поставка под заказ.

Описание:

Brain-Computer Interfacing, Volume 168, not only gives readers a clear understanding of what BCI science is currently offering, but also describes future expectations for restoring lost brain function in patients. In-depth technological chapters are aimed at those interested in BCI technologies and the nature of brain signals, while more comprehensive summaries are provided in the more applied chapters. Readers will be able to grasp BCI concepts, understand what needs the technologies can meet, and provide an informed opinion on BCI science.

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.

Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Автор: Szczepan Paszkiel
Название: Analysis and Classification of EEG Signals for Brain–Computer Interfaces
ISBN: 3030305805 ISBN-13(EAN): 9783030305802
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces.

Classification techniques for medical image analysis and computer aided diagnosis /

Автор: Dey, Nilanjan.
Название: Classification techniques for medical image analysis and computer aided diagnosis /
ISBN: 0128180048 ISBN-13(EAN): 9780128180044
Издательство: Elsevier Science
Рейтинг:
Цена: 19875.00 р.
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Описание:

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.

  • Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges
  • Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications
  • Introduces several techniques for medical image processing and analysis for CAD systems design
Brain source localization using eeg signal analysis

Автор: Jatoi, Munsif Ali Kamel, Nidal
Название: Brain source localization using eeg signal analysis
ISBN: 0367884976 ISBN-13(EAN): 9780367884970
Издательство: Taylor&Francis
Рейтинг:
Цена: 9186.00 р.
Наличие на складе: Поставка под заказ.

Описание: The proposed book studies various aspects and applications of EEG (Electroencephalography) source localization techniques related to engineering and clinical applicatons for various brain disorder studies.

Biological Signals Classification and Analysis

Автор: Kamran Kiasaleh
Название: Biological Signals Classification and Analysis
ISBN: 3662512033 ISBN-13(EAN): 9783662512036
Издательство: Springer
Рейтинг:
Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems.


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