Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Theresa Vaughan,Brendan Allison Book 2014 The Author(s) 2014 2013 B

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Macht und Demokratie in der CDUer output. Stefan et al. (Brain J Neurol 123(pt 3):572–584, .) were the first to investigate this concept non-invasively in humans, and it has now become accepted that it closely matches what occurs during motor learning. With this knowledge, we developed a BCI system where the user’s movement inten

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https://doi.org/10.1007/978-3-658-43866-1omic nervous system responses and that adaptive estimation methods can further improve accuracy. However, the number of electrode sites needs to be reduced and issues such as motion artefacts must be resolved before passive brain-computer interfaces can be used in motor rehabilitation.

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https://doi.org/10.1007/978-3-658-43866-1ion encoded either only currently held or only newly added target information regardless of the exact sequence. Capitalizing on this stable representation, we developed a BMI that concurrently decodes a full motor sequence in advance of movement and can then accurately execute it as desired.

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Give Me a Sign: Studies on the Decodability of Hand Gestures Using Activity of the Sensorimotor Cor

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,Recent Advances in Brain-Computer Interface Research—The BCI Award 2013,s brain activity that reflect different messages or commands that the user wants to send, such as spelling or changing a television channel. Signal processing tools then decode this brain activity to identify the desired message or command, then send this message to an output device. BCIs are closed

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An Ipsilateral, Contralesional BCI in Chronic Stroke Patients,nts. This approach has generally been proposed for patients with compromised motor outflow but a fully intact and functioning cortex. Because of this, in BCIs utilizing motor imagery, the BCI control signals have generally relied upon the cortical physiology associated with movements of the contrala

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A Learning-Based Approach to Artificial Sensory Feedback,f motor prosthetic devices. An artificial sensory feedback signal that could substitute for proprioception in a Brain-Computer Interface (BCI) must be sufficiently informative to be used alone when vision is not available (sensory substitution), and it should integrate with vision to improve motor p

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An Accurate, Versatile, and Robust Brain Switch for Neurorehabilitation,inly for communication and replacement or restoration of lost functions for severely disabled people. Using a BCI for neuromodulation requires that the protocol closely matches the steps involved in the motor learning process. However, the underlying mechanisms of motor learning in humans remain elu