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Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Brendan Allison,E.C. Leuthardt Book 2014 Springer-Verlag Berlin Hei

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發(fā)表于 2025-3-28 17:20:50 | 只看該作者
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發(fā)表于 2025-3-28 20:53:15 | 只看該作者
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發(fā)表于 2025-3-29 07:06:13 | 只看該作者
Brainatic: A System for Real-Time Epileptic Seizure Prediction,methods, and named Brainatic. The system enables the consideration of previously trained classifiers for real-time seizure prediction. The software facilitates the computation of 22 univariate measures (features) per electrode, and classification using support vector machines (SVM), multilayer perce
45#
發(fā)表于 2025-3-29 08:10:35 | 只看該作者
Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistane mental activity measured by a BCI system. This novel approach is illustrated within a proof-of-concept system: haptic guides are toggled during a path-following task thanks to a mental workload index provided by a BCI. The aim of this system is to provide haptic assistance only when the user’s bra
46#
發(fā)表于 2025-3-29 13:56:25 | 只看該作者
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發(fā)表于 2025-3-29 15:36:47 | 只看該作者
Ear-EEG: User-Centered and Wearable BCI,used in hearing aids (Ear-EEG). This provides a noninvasive, minimally intrusive and user-friendly EEG platform suitable for long-term use (days) in natural environments. The operation of Ear-EEG is illustrated for alpha-attenuation and responses to auditory stimuli, and its potential in BCI is eval
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發(fā)表于 2025-3-29 20:56:21 | 只看該作者
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