100 results for "time-domain features" · page 6 of 10 · ranked by relevance
…correct answers. - “Domain” question type is a general domain knowledge question that…
BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with target and non-target visual stimuli annotated using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is optimized for machine learning applications in BCI research.
…correct answers. - “Domain” question type is a general domain knowledge question that…
This dataset comprises P300 evoked potentials recorded from 10 healthy female subjects using two complementary paradigms: the P300 Speller (overt attention) and GeoSpell (covert attention) interfaces. Scalp EEG was acquired from 16 electrodes at 256 Hz while subjects focused on one of 36 alphanumeric characters across multiple sessions. The dataset includes preprocessed data with bandpass filtering (0.1-20 Hz) and is designed to investigate P300 latency jitter effects on brain-computer interface performance.
…Median 1.51s (sEMG decoder) - **Dial-in time**: Time to re-acquire…
This dataset comprises EEG recordings collected using a Visual Attribute-Specific Contextual Trajectory Paradigm, designed to investigate visual attention and perceptual processing of moving stimuli. It provides raw electrophysiological data intended to support research into contextual and attribute-specific visual trajectory processing in humans.
…tsv` files. ### Special Features * **Hierarchical Event Descriptors (HED):** Events, including the original…
A 32-channel EEG dataset from 12 healthy subjects performing a spatial navigation task using a single-flicker steady-state visual evoked potential (SSVEP) brain-computer interface. The dataset comprises two sessions per subject: a structured training session with 200 trials per subject recorded at 2048 Hz, and an online adaptive BCI game session recorded at 512 Hz. This paradigm employs a spatially-coded approach where a single 15 Hz flickering stimulus in the center of the screen produces distinct spatial topographies corresponding to four cardinal directions (north, east, west, south), enabling direction-specific decoding without frequency-based analysis methods.
…within-subject comparison - **Study domain**: auditory BCI - **Feedback type**: none - **Stimulus type…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants performing left and right hand motor imagery in response to visual cues. Recorded at 1000 Hz using a 64-channel EEG montage with standardized electrode placement, this dataset supports brain-computer interface research and analysis of ocular activity patterns during motor imagery paradigms.