Artificial Intelligence Applications For Brain Computer Interfaces
DOWNLOAD
Download Artificial Intelligence Applications For Brain Computer Interfaces PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence Applications For Brain Computer Interfaces book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence Applications For Brain Computer Interfaces
DOWNLOAD
Author : Abdulhamit Subasi
language : en
Publisher: Elsevier
Release Date : 2025-01-10
Artificial Intelligence Applications For Brain Computer Interfaces written by Abdulhamit Subasi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-10 with Science categories.
Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects of future technologies involving noninvasive brain-computer interfaces (BCIs). It includes the processing and analysis of multimodal signals, integrated computation-acquisition devices, and implantable neuro techniques. This book not only provides cross-disciplinary research in BCI but also presents divergent applications on telerehabilitation, emotion recognition, neuro-rehabilitation, cognitive workload assessments, and ambient assisted living solutions. In 15 chapters, this book describes how BCIs connect the brain with external devices like computers and electronic gadgets. It analyzes the neural signals from the brain to obtain insights from the brain patterns using multiple noninvasive wearable sensors. It gives insight into how sensor outcomes are processed through machine-intelligent models to draw inferences. Each chapter starts with the importance, problem statement, and motivation. A description of the proposed methodology is provided, and related works are also presented. Each chapter can be read independently, and therefore, the book is a valuable resource for researchers, health professionals, postgraduate students, postdoc researchers, and academicians in the fields of BCI, prosthesis, computer vision, and mental state estimation, and all those who wish to broaden their knowledge in the allied field. - Focuses on the advancements, challenges, and prospects for future technologies over noninvasive brain computer interfaces (BCIs), including the processing and analysis of multimodal signals, integrated calculation-acquisition devices, and implantable technologies. - Presents theories, algorithms, realizations, applications, approaches, and challenges that will have their impact and contribution in the design and development of modern and effective BCIs. - Assists in understanding the predominance of BCI technology in various applications.
Concepts And Applications Of Brain Computer Interfaces
DOWNLOAD
Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-05-14
Concepts And Applications Of Brain Computer Interfaces written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Computers categories.
Brain-computer interfaces (BCIs) emerge as new technologies bridging the gap between the human brain and digital systems, unlocking new possibilities in communication, rehabilitation, and human augmentation. By translating neural signals into usable data, BCIs enable direct interaction with computers, prosthetics, and other devices, offering transformative applications for individuals with disabilities and enhancing cognitive capabilities. From enabling paralyzed individuals to control robotic limbs to offering advanced approaches for treating neurological disorders, BCIs pave the way for a future where the mind influences and controls the digital world. As research and development advances, the concepts and applications of BCIs may redefine how we interact with technology, with insights into medicine, education, and more. Concepts and Applications of Brain-Computer Interfaces explores the positive impacts of brain-computer technology in the medical field, including preventative measures and the rehabilitation of severe brain damage. It examines how BCIs foster mutual comprehension between users and the surrounding systems, and the technological obstacles that arise when utilizing brain signals in different components. This book covers topics such as deep learning, brain modulation, and artificial intelligence, and is a useful resource for data scientists, engineers, business owners, academicians, and researchers.
Artificial Intelligence Based Brain Computer Interface
DOWNLOAD
Author : Varun Bajaj
language : en
Publisher: Academic Press
Release Date : 2022-02-04
Artificial Intelligence Based Brain Computer Interface written by Varun Bajaj and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Science categories.
Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling 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. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services. - Provides readers with an understanding of key applications of Artificial Intelligence to Brain-Computer Interface for acquisition and modelling of non-invasive biomedical signal and image modalities for various conditions and disorders - Integrates recent advancements of Artificial Intelligence to the evaluation of large amounts of clinical data for the early detection of disorders such as Epilepsy, Alcoholism, Sleep Apnea, motor-imagery tasks classification, and others - Includes illustrative examples on how Artificial Intelligence can be applied to the Brain-Computer Interface, including a wide range of case studies in predicting and classification of neurological disorders
Applications Of Brain Computer Interfaces In Intelligent Technologies
DOWNLOAD
Author : Szczepan Paszkiel
language : en
Publisher: Springer Nature
Release Date : 2022-07-08
Applications Of Brain Computer Interfaces In Intelligent Technologies written by Szczepan Paszkiel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-08 with Technology & Engineering categories.
The BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers. In addition, the application of BCI technology in the field of intelligent houses, robotic lines as well as in the field of bionic prostheses was presented. One of the chapters of the monograph also discusses the issue of fMRI in the context of the possibility of analyzing images made as part of fMRI through solutions based on machine learning. A practical implementation of the TensorFlow framework was presented. The fMRI technique is also often implemented in BCI solutions. The conducted literature studies show that the technology of BCI is undoubtedly a technology of the future. However, there is a need for continuous development of biomedical signal processing methods in order to obtain the most efficient implementations in the case of non-invasive implementation of BCI technology based on EEG. The further development of BCI technology has a huge impact on the techniques of rehabilitation of people with disabilities. Nowadays, wheelchairs are being constructed, thanks to which a disabled person is physically able to direct his position in a certain direction and at a certain speed. Thanks to BCI, it is also possible to create an individual speech synthesizer, with the help of which a paralyzed person will be able to communicate with the outside world. New limb prostheses that will replace the lost locomotor system in almost one hundred percent are still being developed. Some prostheses are connected to the human nervous system, thanks to which they are able to send feedback to our brain about the shape, hardness and temperature of the object held in the artificial limb.
Brain Computer Interface
DOWNLOAD
Author : M. G. Sumithra
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-10
Brain Computer Interface written by M. G. Sumithra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Computers categories.
BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists.
Brain Computer Interfaces
DOWNLOAD
Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2014-11-01
Brain Computer Interfaces written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-01 with Technology & Engineering categories.
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.
Brain Computer Interfaces 1
DOWNLOAD
Author : Maureen Clerc
language : en
Publisher: John Wiley & Sons
Release Date : 2016-07-25
Brain Computer Interfaces 1 written by Maureen Clerc and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-25 with Science categories.
Brain–computer interfaces (BCI) are devices which measure brain activity and translate it into messages or commands, thereby opening up many investigation and application possibilities. This book provides keys for understanding and designing these multi-disciplinary interfaces, which require many fields of expertise such as neuroscience, statistics, informatics and psychology. This first volume, Methods and Perspectives, presents all the basic knowledge underlying the working principles of BCI. It opens with the anatomical and physiological organization of the brain, followed by the brain activity involved in BCI, and following with information extraction, which involves signal processing and machine learning methods. BCI usage is then described, from the angle of human learning and human-machine interfaces. The basic notions developed in this reference book are intended to be accessible to all readers interested in BCI, whatever their background. More advanced material is also offered, for readers who want to expand their knowledge in disciplinary fields underlying BCI. This first volume will be followed by a second volume, entitled Technology and Applications.
Exploring The Use Of Artificial Intelligence In Brain Computer Interfaces For Improved Control And Communication
DOWNLOAD
Author : Sankalp Chenna
language : en
Publisher:
Release Date : 2023
Exploring The Use Of Artificial Intelligence In Brain Computer Interfaces For Improved Control And Communication written by Sankalp Chenna and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Brain-computer interfaces (BCIs) are devices that enable communication and control of external devices by capturing and interpreting neural signals from the brain. Artificial intelligence (AI) has the potential to improve the accuracy and speed of BCIs, thereby enhancing their effectiveness and usability. This paper explores the use of AI in BCIs to improve control and communication for individuals with motor disabilities. It examines recent advancements in AI and BCI technologies and their potential to enhance the accuracy and speed of BCIs. The paper discusses how AI can improve BCI performance by reducing the noise in the signals, improving feature extraction, and classifying signals accurately and also presents various AI-based approaches for improving BCI performance, including deep learning, convolutional neural networks, and reinforcement learning. It examines how these approaches can be used to predict intended movements, detect errors, and optimize BCI performance. It highlights the challenges and limitations associated with the use of AI in BCIs, including ethical concerns, technical limitations, and the need for extensive training data. It also discusses the potential future applications of AI in BCIs, such as the development of more sophisticated BCI systems that can enable more natural communication and control. this paper demonstrates that AI has significant potential to enhance the performance of BCIs and improve the quality of life for individuals with motor disabilities. However, more research is needed to overcome the challenges and limitations associated with the use of AI in BCIs and to fully realize the potential of this technology.
The Application Of Artificial Intelligence In Brain Computer Interface And Neural System Rehabilitation
DOWNLOAD
Author : Fangzhou Xu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-15
The Application Of Artificial Intelligence In Brain Computer Interface And Neural System Rehabilitation written by Fangzhou Xu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-15 with Science categories.
Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications
DOWNLOAD
Author : Xiang Zhang
language : en
Publisher: World Scientific
Release Date : 2021-09-14
Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications written by Xiang Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.
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)