A Practical Guide to Brain–Computer Interfacing with by Gerwin Schalk, Jürgen Mellinger

By Gerwin Schalk, Jürgen Mellinger

This sensible advisor to winning Brain-Computer Interface (BCI) experiments, makes use of the general-purpose software program platform BCI2000. It offers finished introductory and intermediate strategies of all proper facets touching on universal BCI experiments.

Opening with a normal advent to the rules of BCI operation, mind sign acquisition utilizing forms of sensors, BCI sign processing (including universal function extraction and have translation methods), and machine output, this normal advent to BCI learn is through an advent to the BCI2000 software program platform, together with a step-by step travel and step by step tutorials for utilizing BCI2000 with sensorimotor rhythms and P300 evoked potentials. complicated options are mentioned and a programming reference and workouts incorporated. there's a part for commonly asked questions and technical references.

Graduate scholars and postdoctoral affiliates getting all started with BCI examine and/or using BCI2000 will locate this booklet very useful. The tutorials and routines also will turn out beneficial for additional interpreting and for lab assignments in classes on BCI research.

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Extra info for A Practical Guide to Brain–Computer Interfacing with BCI2000: General-Purpose Software for Brain–Computer Interface Research, Data Acquisition, Stimulus Presentation, and Brain Monitoring

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In: 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1010–1017. IEEE Comput. , Los Alamitos (2001) 10. : Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442(7099), 164–171 (2006). 1038/nature04970 11. : Neural signals for command control and feedback in functional neuromuscular stimulation: a review. J. Rehabil. Res. Dev. 33, 145–157 (1996) 12. : Direct control of a computer from the human central nervous system. IEEE Trans.

Brain–computer interface – a new communication device for handicapped persons. J. Microcomput. Appl. 16, 293–299 (1993) 22. : Brain oscillations control hand orthosis in a tetraplegic. Neurosci. Lett. 292(3), 211–214 (2000) 8 1 Brain–Computer Interfaces 23. : A high-performance brain– computer interface. Nature 442(7099), 195–198 (2006). 1038/nature04968 24. : Instant neural control of a movement signal. Nature 416(6877), 141–142 (2002) 25. : The brain response interface: communication through visually guided electrical brain responses.

Electroencephalogr. Clin. Neurophysiol. 78(3), 252–259 (1991) 31. : Brain– computer interfaces for communication and control. Electroencephalogr. Clin. Neurophysiol. 1 Relevant Sensors A variety of sensors for monitoring brain activity exist, and could in principle provide the basis for a BCI. , functional Near InfraRed (fNIR)). However, MEG, PET, fMRI, and fNIR are still technically demanding and expensive, which impedes widespread use. Despite these impediments, several studies have recently explored the value of these modalities for BCI research [10, 11, 42, 60, 82, 97, 98, 108–110, 118].

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