Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications
  • Author : Xiang Zhang
  • Release Date : 14 September 2021
  • Publisher : World Scientific
  • Genre : Computers
  • Pages : 296
  • ISBN 13 : 9781786349606

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications Book Summary

Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.

Deep Learning For Eeg based Brain computer Interfaces  Representations  Algorithms And Applications

Deep Learning For Eeg based Brain computer Interfaces Representations Algorithms And Applications

Author : Xiang Zhang,Lina Yao
Publisher : World Scientific
Genre : Computers
Total View : 1947 Views
File Size : 40,7 Mb
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Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by ...

Introduction to Non Invasive EEG Based Brain Computer Interfaces for Assistive Technologies

Introduction to Non Invasive EEG Based Brain Computer Interfaces for Assistive Technologies

Author : Teodiano Freire Bastos-Filho
Publisher : CRC Press
Genre : Computers
Total View : 3887 Views
File Size : 55,7 Mb
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This book aims to bring to the reader an overview of different applications of brain-computer interfaces (BCIs) based on more than 20 years of experience working on these interfaces. The author provides a review of the human brain and EEG signals, describing the human brain, anatomically and physiologically, with the objective ...

Brain Computer Interface

Brain Computer Interface

Author : Narayan Panigrahi,Saraju P. Mohanty
Publisher : Unknown
Genre : Computers
Total View : 4579 Views
File Size : 44,5 Mb
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Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. ...

Brain Computer Interfaces

Brain Computer Interfaces

Author : Aboul Ella Hassanien,Ahmad Taher Azar
Publisher : Springer
Genre : Technology & Engineering
Total View : 6758 Views
File Size : 46,6 Mb
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The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These ...

Brain Informatics

Brain Informatics

Author : Mufti Mahmud,M Shamim Kaiser,Stefano Vassanelli,Qionghai Dai,Ning Zhong
Publisher : Springer Nature
Genre : Computers
Total View : 3916 Views
File Size : 48,7 Mb
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This book constitutes the refereed proceedings of the 14th International Conference on Brain Informatics, BI 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 49 full and 2 short papers together with 18 abstract papers were carefully reviewed and selected from 90 submissions. The papers are organized in the ...

Artificial Intelligence Based Brain Computer Interface

Artificial Intelligence Based Brain Computer Interface

Author : Varun Bajaj,G. R. Sinha
Publisher : Academic Press
Genre : Science
Total View : 4535 Views
File Size : 52,9 Mb
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Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for modelling of non-invasive modalities of medical signals such as EEG, MRI, and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. This can help to improve the healthcare system through detection, identification, predication, analysis and ...

Brain Computer Interfaces

Brain Computer Interfaces

Author : Jonathan Wolpaw,Elizabeth Winter Wolpaw
Publisher : Oxford University Press
Genre : Medical
Total View : 9731 Views
File Size : 40,6 Mb
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A recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged in the past two decades. This book is intended to provide an introduction to and summary of essentially all major aspects of BCI research and development. Its goal is to be a comprehensive, balanced, ...

Analysis and Classification of EEG Signals for Brain   Computer Interfaces

Analysis and Classification of EEG Signals for Brain Computer Interfaces

Author : Szczepan Paszkiel
Publisher : Springer Nature
Genre : Technology & Engineering
Total View : 797 Views
File Size : 47,9 Mb
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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. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to ...