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.
