Recent Advances In Brain Computer Interface Systems
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Recent Advances in Brain-Computer Interface Systems
Author: Reza Fazel-Rezai
language: en
Publisher: BoD – Books on Demand
Release Date: 2011-02-04
Brain Computer Interface (BCI) technology provides a direct electronic interface and can convey messages and commands directly from the human brain to a computer. BCI technology involves monitoring conscious brain electrical activity via electroencephalogram (EEG) signals and detecting characteristics of EEG patterns via digital signal processing algorithms that the user generates to communicate. It has the potential to enable the physically disabled to perform many activities, thus improving their quality of life and productivity, allowing them more independence and reducing social costs. The challenge with BCI, however, is to extract the relevant patterns from the EEG signals produced by the brain each second. Recently, there has been a great progress in the development of novel paradigms for EEG signal recording, advanced methods for processing them, new applications for BCI systems and complete software and hardware packages used for BCI applications. In this book a few recent advances in these areas are discussed.
New Insights in Brain-Computer Interface Systems
This book, New Insights in Brain-Computer Interface Systems explores the world of BCIs, where cutting-edge technology meets the intricacies of the human brain. From pioneering advancements in neuroprosthetics to innovative applications in cognitive enhancement and rehabilitation, this book offers insight into the latest research and breakthroughs in the field. Written by leading experts, each chapter explores the science behind BCIs, their practical implementations, and the ethical considerations that accompany this rapidly evolving technology. This book is an exploration that spans multiple domains, including healthcare, robotics, virtual reality, biomaterials, education, humanoids, neuro rights, and neurostimulation. Discover how BCIs are transforming patient care and rehabilitation in offering new hope for individuals with neurological conditions. Learn about the groundbreaking use of neural networks in controlling lower limb exoskeletons, enhancing mobility for those with physical limitations. Uncover the applications of BCIs in action observation and motor imagery, reshaping the landscape of rehabilitation and training. Explore sustainable solutions with biodegradable and biohybrid materials crucial for advancing BCI technology. Gain insights into Mindwave applications and their potential to revolutionize learning methodologies. Delve into trust dynamics in human–humanoid interactions and their implications for future collaboration. Engage with the ethical considerations surrounding BCIs and the imperative for safeguarding individual rights. Investigate how frontal lobe stimulation enhances connectivity in Alzheimer’s disease networks, offering new avenues for therapeutic intervention. Whether you are a researcher, practitioner, student, or simply curious about the future of human-computer interaction, this book provides invaluable insights. Are you ready to explore the next frontier of neuroscience and technology?
Brain-Computer Interface Systems
Author: Reza Fazel-Rezai
language: en
Publisher: BoD – Books on Demand
Release Date: 2013-06-05
Brain-Computer Interface (BCI) systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer. In the recent years, attention to this new area of research and the number of publications discussing different paradigms, methods, signal processing algorithms, and applications have been increased dramatically. The objective of this book is to discuss recent progress and future prospects of BCI systems. The topics discussed in this book are: important issues concerning end-users; approaches to interconnect a BCI system with one or more applications; several advanced signal processing methods (i.e., adaptive network fuzzy inference systems, Bayesian sequential learning, fractal features and neural networks, autoregressive models of wavelet bases, hidden Markov models, equivalent current dipole source localization, and independent component analysis); review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.