Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications
Download Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications full books in PDF, epub, and Kindle. Read online free Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Xiang Zhang |
| Publisher | : World Scientific |
| Total Pages | : 294 |
| Release | : 2021-09-14 |
| Genre | : Computers |
| ISBN | : 1786349604 |
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.Related Link(s)
| Author | : Toshihisa Tanaka (Engineer) |
| Publisher | : |
| Total Pages | : |
| Release | : 2018 |
| Genre | : COMPUTERS |
| ISBN | : 9781523119837 |
Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions. In this book an international panel of experts introduce signal processing and machine learning techniques for BMI/BCI and outline their practical and future applications in neuroscience, medicine, and rehabilitation, with a focus on EEG-based BMI/BCI methods and technologies. Topics covered include discriminative learning of connectivity pattern of EEG; feature extraction from EEG recordings; EEG signal processing; transfer learning algorithms in BCI; convolutional neural networks for event-related potential detection; spatial filtering techniques for improving individual template-based SSVEP detection; feature extraction and classification algorithms for image RSVP based BCI; decoding music perception and imagination using deep learning techniques; neurofeedback games using EEG-based Brain-Computer Interface Technology; affective computing system and more.
| Author | : Abdulmotaleb El Saddik |
| Publisher | : Springer Nature |
| Total Pages | : 254 |
| Release | : 2019-12-03 |
| Genre | : Medical |
| ISBN | : 3030278441 |
This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems. The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks. Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.
| Author | : Toshihisa Tanaka |
| Publisher | : Institution of Engineering and Technology |
| Total Pages | : 355 |
| Release | : 2018-09-13 |
| Genre | : Technology & Engineering |
| ISBN | : 1785613987 |
Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions.
| Author | : Aboul Ella Hassanien |
| Publisher | : Springer |
| Total Pages | : 422 |
| Release | : 2014-11-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3319109782 |
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 groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity. The book is basically divided into three parts. The first part of the book covers the basic concepts and overviews of Brain Computer Interface. The second part describes new theoretical developments of BCI systems. The third part covers views on real applications of BCI systems.
| Author | : Rajesh Kumar Tripathy |
| Publisher | : CRC Press |
| Total Pages | : 227 |
| Release | : 2024-06-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1040028772 |
The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.
| Author | : Dipali Bansal |
| Publisher | : Academic Press |
| Total Pages | : 220 |
| Release | : 2019-03-14 |
| Genre | : Science |
| ISBN | : 0128146885 |
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
| Author | : Guido Dornhege |
| Publisher | : MIT Press |
| Total Pages | : 520 |
| Release | : 2007 |
| Genre | : Brain mapping |
| ISBN | : 0262042444 |
This volume presents a timely overview of the latest BCI research, with contributions from many of the important research groups in the field.
| Author | : Nitish V. Thakor |
| Publisher | : Springer Nature |
| Total Pages | : 3686 |
| Release | : 2023-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811655405 |
This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.
| Author | : Pasquale Arpaia |
| Publisher | : CRC Press |
| Total Pages | : 287 |
| Release | : 2023-06-15 |
| Genre | : Computers |
| ISBN | : 1000850552 |
Presents a complete overview of the main EEG-based BCI paradigms and the related practical solutions for their design, prototyping, and testing Describes wearable and low-cost EEG-based solutions Explores active, reactive, and passive BCI paradigms Explains the entire research-and-development process of a BCI prototype Provides examples of BCI system applications in several fields
