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Brain–Computer Interface Research
The Annual BCI Research Awards are international prizes that recognize the top new projects in brain-computer interface (BCI) research. This book contains summaries of the key projects from the 2018 BCI Research Award. Each article is authored by the group of researchers who developed the project, and articles have been updated with new progress achieved since 2018. They are complemented by an introduction by the editors together with a chapter of highlights and interviews with the 2018 award winners. One of the prominent trends in recent years has been the development of BCIs for new patient groups; many chapters in this book present emerging and novel research directions likely to become more prevalent in the near future.
Electrocorticographic Brain-Computer Interfaces
Topic Editor Christoph Guger is the CEO of Guger Technologies. All other topic editors declare no competing interests with regards to the Research Topic subject.
Near-Infrared Spectroscopy (NIRS) in Functional Research of Prefrontal Cortex
This e-book includes the latest outcomes produced by a broad range of fNIRS research with activation of prefrontal cortex, from methodological one to clinical one, providing a forum for scientists planning functional studies of prefrontal brain activation. Reading this book, one will find the possibility that fNIRS could replace fMRI in the near future, and realize that even our aesthetic feeling is measurable. This will serve as a reference repository of knowledge from these fields as well as a conduit of information from leading researchers. In addition it offers an extensive cross-referencing system that will facilitate search and retrieval of information about NIRS measurements in activation studies. Researchers interested in fNIRS would benefit from an overview about its potential utilities for future research directions.
Fundamentals of Clinical Data Science
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Using Neurophysiological Signals that Reflect Cognitive or Affective State
What can we learn from spontaneously occurring brain and other physiological signals about an individual’s cognitive and affective state and how can we make use of this information? One line of research that is actively involved with this question is Passive Brain-Computer-Interfaces (BCI). To date most BCIs are aimed at assisting patients for whom brain signals could form an alternative output channel as opposed to more common human output channels, like speech and moving the hands. However, brain signals (possibly in combination with other physiological signals) also form an output channel above and beyond the more usual ones: they can potentially provide continuous, online information a...
Stand Out With Your Scientific Poster
Are you a researcher who struggles when it comes to creating scientific posters? Or do you simply want to get better at it? This book provides you with a step-by-step guide to making a poster that has real impact. To ensure you stand out from the crowd at your next poster fair. A practical guide that gives you answers to questions like: what to put on a poster (and mainly: what not to)? How do you come up with a title that immediately grabs people's attention? What are the best images to use? How many words can you include on your poster? And much, much more... Everything you need to get started step by step and quickly achieve the best result. Stand Out With Your Scientific Poster is the first book in the PhD Essentials series. The authors Toon Verlinden and Hans Van de Water are international experts in science communication. They have trained tens of thousands of researchers in how to clearly present their project, and also wrote The Floor Is Yours: because life is too short for bad presentations.
Neural Information Processing
The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.
Collaborative Intelligence
A deep look into the multifaceted landscape of artificial intelligence, considering AI’s ethical and societal implications and celebrating its diverse and innovative applications. In this edited collection Collaborative Intelligence, Mira Lane and Arathi Sethumadhavan embark on a captivating exploration of artificial intelligence. The book delves deeply into the dynamic interplay between theory and practice, shedding light on the transformative potential and complexities of AI. For practitioners deeply immersed in the world of AI, Lane and Sethumadhavan offer firsthand accounts and insights from technologists, academics, and thought leaders, as well as a series of compelling case studies, ...
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.
