Titlebook: Brain–Computer Interface Research; A State-of-the-Art S Christoph Guger,Brendan Z. Allison,Kai Miller Book 2020 The Editor(s) (if applicabl

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Generating Handwriting from Multichannel Electromyographic Activity,ne—from electromyographic (EMG) signals recorded from multiple hand and forearm muscles. We convert EMGs into continuous handwriting traces and into discretely decoded font characters. For this purpose, we use Wiener and Kalman filters, and machine learning algorithms. Our approach is applicable to

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Cursory

Restoring Functional Reach-to-Grasp in a Person with Chronic Tetraplegia Using Implanted Functional Selective intramuscular functional electrical stimulation (FES) of paralyzed muscles throughout the upper extremity powered multiple reaching and grasping movements. An intracortical brain computer interface (iBCI) recorded neural signals from the participant’s contralateral motor cortex, extracted

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Neural Decoding of Attentional Selection in Multi-speaker Environments Without Access to Clean Sourress background noise; however, there is little that can be done to help a user attend to a single conversation without knowing which speaker is being attended to. Cognitively controlled hearing aids that use auditory attention decoding (AAD) methods are the next step in offering help. A number of c

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Goal-Directed BCI Feedback Using Cortical Microstimulation,ve feedback. Such feedback has been shown to be critical to motor performance. Intracortical microstimulation (ICMS) has often been employed to provide artificial sensory feedback. However, it remains a question of how best to encode the multidimensional nature of this information (e.g. location, in

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Neuromotor Recovery Based on BCI, FES, Virtual Reality and Augmented Feedback for Upper Limbs,d long-lasting benefits after short-term recovering programs. The prevalence of this revolutionary approach received a boost from virtual reality and augmented reality, which contribute to the brain neuroplasticity improvement and can be used in neurorehabilitation and treatment of motor/mental diso

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Highlights and Interviews with Winners,8. In this chapter, we summarize the 2018 Awards Ceremony where we announced the three winning projects. We interviewed authors of these winning projects – Drs. Ajiboye, Tangermann, and Herff – and then wrote a conclusion with future directions, including BCI Hackathons and Cybathlons. We hope these