100 results for "neuromotor interfaces" · page 2 of 10 · ranked by relevance
…on motor-imagery brain–computer interfaces (BCI) for lower-limb and gait…
…Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces - **Country**: Austria - **Repository…
…Mishchenko, "A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces…
…Open access dataset for hybrid brain-computer interfaces (BCIs) using electroencephalography (EEG…
[ and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
Imported from OpenNeuro ds004362
…Kaifosh et al., 2025 - "A generic non-invasive neuromotor interface for human…
A multi-session EEG dataset acquired from 15 healthy participants performing resting state and graded cognitive tasks (MATB-II at three difficulty levels). The dataset comprises 62-channel EEG recordings at 500 Hz sampling rate designed for passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. Raw EEG data are provided with standardized event annotations using HED 8.4.0 schema and MOABB-compatible feature extraction pipelines (bandpower analysis and Riemannian covariance methods) for benchmarking purposes.
A comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP) across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that while MI showed the highest illiteracy rate (53.7%), all participants could control at least one BCI paradigm. Data were acquired at 1000 Hz using 62 EEG channels with concurrent electromyography recordings.