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Signal Processing Methods in EEG Based Brain–Computer Interfaces

  • ID: 2673280
  • Book
  • January 2020
  • Region: Global
  • 304 Pages
  • John Wiley and Sons Ltd
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Focuses on the reproducibility of research in relation to the processing of EEG signals for Brain–Computer Interface (BCI) applications, which aim to provide a direct communication pathway between the brain and an external device.

  • Features algorithm results produced from real data and uses the unique method of mental state decoding to present both theoretical work and working implementations.
  • Focuses on the signals, algorithms, and interpretation and presents the specifics of mental state decoding which ultimately bridges the gap between knowledge and implementation.
  • Follows a tutorial style approach where background and definitions are given followed by chapters on the important areas of Motor, Sensory and event related potentials.
  • Places an emphasis on the reproducibility of research – sample real world datasets and code listings implementing the concepts presented in the book will be made available in a website supporting the book.

A valuable reference forProfessionals such as research scientists, system designers and academics involved in the design and implementation of BCI systems; graduate and PhD students in the area of signal processing, biomedical engineering & neuroscience.

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Gary Garcia Molina
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