Artificial Intelligence Based Brain Computer Interface
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Artificial Intelligence Based Brain Computer Interface
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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
Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications
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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)
Brain Computer Interface
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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.
Artificial Intelligence Based Signal Processing For Brain Activity Analysis
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Author : Rahul Chaurasiya
language : en
Publisher: CRC Press
Release Date : 2025-11-12
Artificial Intelligence Based Signal Processing For Brain Activity Analysis written by Rahul Chaurasiya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-12 with Technology & Engineering categories.
Artificial Intelligence-based Signal Processing for Brain Activity Analysis is an indispensable resource for addressing the pressing challenges in medicine, detection of brain-related disorders, brain-computer interfacing, and neuromarketing. It delves into contemporary AI, ML, and signal processing approaches for analysis of brain activity. The salient features of this book include: (1) Acquisition, preprocessing, noise removal, and processing methods for brain signals, including EEG, ECoG, MEG, fMRI, and fNIRS. (2) Latest AI and ML algorithms relevant for classification of brain signals, including traditional machine learners, deep transfer learners, LSTM and auto-encoders, and transformers. (3) Applications in medicine, including mental healthcare, mental stress reduction, psychological disorder detection, OCD detection, sleep disorder detection, seizure detection, brain tumor detection, Alzheimer’s disease detection, and bipolar disorder prediction. (4) Applications in brain-computer interfacing (BCI), gaming and entertainment, and neuromarketing. (5) Recent case studies and experimental and research works. The text is primarily written for senior undergraduate students, graduate students, industry professionals, researchers, and academicians working in the field of AI, ML, signal processing techniques, biomedical signal processing, brain signal analysis, and brain activity analysis.
Artificial Intelligence Applications For Brain Computer Interfaces
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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.
Artificial Intelligence Enabled Signal Processing Based Models For Neural Information Processing
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Author : Rajesh Kumar Tripathy
language : en
Publisher: CRC Press
Release Date : 2024-06-06
Artificial Intelligence Enabled Signal Processing Based Models For Neural Information Processing written by Rajesh Kumar Tripathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Technology & Engineering categories.
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.
The Application Of Artificial Intelligence In Brain Computer Interface And Neural System Rehabilitation
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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.
Analysis And Classification Of Eeg Signals For Brain Computer Interfaces
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Author : Szczepan Paszkiel
language : en
Publisher: Springer Nature
Release Date : 2019-08-31
Analysis And Classification Of Eeg Signals For Brain Computer Interfaces 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 2019-08-31 with Technology & Engineering categories.
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 the use of Moore–Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology. In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain–computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain–computer technology and virtual reality technology.
Exploring The Use Of Artificial Intelligence In Brain Computer Interfaces For Improved Control And Communication
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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.
Brain Computer Interfaces 1
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Author : Maureen Clerc
language : en
Publisher: John Wiley & Sons
Release Date : 2016-07-14
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 2016-07-14 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.