Signal Processing Methods in EEG Based Brain-computer Interfaces

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.