Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Natalie Mrachacz-Kersting,Brendan Book 2019 The Author(s), under e

Limerick

Individual Word Classification During Imagined Speech Using Intracranial Recordings, with statistically significant accuracy. Classification accuracy reached 88% in a two-class classification framework, and average classification accuracy across fifteen word-pairs was significant across five subjects (mean = 58%). The majority of electrodes carrying discriminative information were

calamity

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Brain-Computer Interface Research: A State-of-the-Art Summary 7,nt groups. Each year, the annual BCI Research Award recognizes the top projects in BCI research. This book includes chapters that review these different BCI projects, and this chapter presents more information about the award process in 2017 and the nominated projects.

HAIL

Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promison to create functional maps of the eloquent language cortex in patients selected for resective epilepsy or tumor surgery. At present, the concordance of functional maps derived by ECoG-FLM and electrical cortical stimulation mapping (ESM) remains rather low. This impedes the transition of ECoG-FLM

BOOR

Online Adaptive Synchronous BCI System with Attention Variations,l state such as attentional diversion. Here, we propose a novel online BCI system able to adapt with variations in the users’ attention during real-time movement execution. Electroencephalography (EEG) signals were recorded from twelve channels in twelve healthy participants and two stroke patients

使入迷

Using a BCI Prosthetic Hand to Control Phantom Limb Pain,n attributed to maladaptive plasticity of the sensorimotor cortex, and evidence suggests that experimental induction of further reorganization should affect the pain. Here, we use a brain–computer interface (BCI) based on real-time magnetoencephalography signals to reconstruct affected hand movement

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向外供接触

Targeted Up-Conditioning of Contralesional Corticospinal Pathways Promotes Motor Recovery in Poststed the safety and efficacy of direct brain control of advanced exoskeleton robotics as a physiotherapeutic intervention. Poststroke patients with severe chronic hemiplegia participated in a physiotherapeutic intervention with movement support aided by online decoding of contralesional primary motor