TY - CHAP A1 - Tiago H. Falk A2 - Kelly M. Paton A3 - Tom Chau ED1 - Reza Fazel-Rezai Y1 - 2013-06-05 PY - 2013 T1 - Client-Centred Music Imagery Classification Based on Hidden Markov Models of Baseline Prefrontal Hemodynamic Response N2 - 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. BT - Brain-Computer Interface Systems SP - Ch. 7 UR - https://doi.org/10.5772/55804 DO - 10.5772/55804 SN - PB - IntechOpen CY - Rijeka Y2 - 2022-05-25 ER -