100 results for "movement decoding" · page 3 of 10 · ranked by relevance
…design effects on imagined speech decoding performance. ## Dataset Summary | Property | Value | |---|---| | Subjects…
…actively imagining the sit-to-stand movement (labeled as MotorImageryA), 2. sitting…
…Neural decoding of competitive decision-making in Rock-Paper-Scissors. Social Cognitive…
…outputs from the decoding analyses, including time-resolved decoding accuracy matrices for…
This dataset comprises synchronized multimodal neurophysiological and biomechanical recordings from 128-channel EEG, electromyography (EMG), electrooculography (EOG), and motion capture during a perturbed beam-walking task. Participants performed four 10-minute sessions of standing or walking on a narrow balance beam while exposed to sensorimotor perturbations (visual field rotations or waist pulls). The dataset includes preprocessed EEG data with identified good channels and independent component analysis results, enabling investigation of cortical mechanisms underlying balance control and responses to perturbations.
…Moreira et al. "An open-access EEG dataset for speech decoding: Exploring…
…Towards decoding individual words from non-invasive brain recordings. Nature Communications 16…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 64-channel EEG recordings plus 1 EOG and 1 stimulus channel at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
…intracranial EEG)** dataset for speech decoding research. Intracranial recordings were obtained while…