100 results for "EEG classification" · page 9 of 10 · ranked by relevance
…selection and classification. The dataset consists of 256-channel EEG signals from…
This dataset comprises electroencephalogram (EEG) recordings from 127 young adults (18-30 years) collected during standardized cognitive tasks designed to assess perception, cognition, and action. Participants completed tasks from the Event-Related Potentials Compendium of Open Resources and Experiments (ERP CORE) or adapted variants thereof. The dataset integrates neurophysiological measures with comprehensive socioeconomic indicators spanning childhood and adulthood, including family SES, educational attainment, income, food security, and neighborhood characteristics, as well as ADHD symptom screening. This resource enables investigation of the relationship between socioeconomic context and neural electrophysiology in a diverse young adult population.
Imported from OpenNeuro ds004368
…The dataset contains 32-channel EEG recordings from 2 healthy subjects performing…
…31-channel EEG recorded at 1000 Hz with BrainProducts BrainAmp DC. Raw…
…training participants): - Offline CER: >90% classification accuracy on held-out participants - Online…
A multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.
…The EEG data format chosen is the '.set' format of EEGLAB. For…
…31-channel EEG recorded at 1000 Hz with BrainProducts BrainAmp DC. Raw…