06:09P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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05:21Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
12:07Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
11:25Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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This study compared musculoskeletal models (MM) against data-driven methods for electromyography (EMG) control. Musculoskeletal models showed superior accuracy and reliability for predicting continuous hand and wrist motions, even in an amputee.
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