BCI

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Brainloop

4. BCI - Brain–computer interfaces

Introduction

The aim is to provide the brain with a new, non-muscular communication and control channel, a direct brain–computer interface (BCI) for conveying messages and commands to the external world. A variety of methods for monitoring brain activity might serve as a BCI.
The methods we'll take in consideration is the Electroencephalography (EEG) and related methods which are non-invasive, have relatively short time constants, can function in most environments, and require relatively simple and inexpensive equipment.

4. BCI - Intro
	4.1. Definition and features of a BCI   4.1.1. Dependent and independent BCIs 4.1.2. BCI use is a skill 4.1.3. The parts of a BCI   4.1.3.1. Signal acquisition 4.1.3.2. Signal processing: feature extraction 4.1.3.3. Signal processing: the translation algorithm 4.1.3.4. The output device 4.1.3.5. The operating protocol 4.2. Present-day BCIs   4.2.1. Visual evoked potentials 4.2.2. Slow cortical potentials 4.2.3. P300 evoked potentials 4.2.4. Mu and beta rhythms   4.2.4.1. The Wadsworth BCI 4.2.4.2. The Graz BCI 4.2.5. Cortical neuronal action potentials 4.3. The future of BCI-based communication

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Source: Brain–computer interfaces for communication and control, Clinical Neurophysiology 113 (2002) 767–791, Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland, Gert Pfurtscheller, Theresa M. Vaughan