EEG data offline and online during motor imagery for standing and sitting
…an offline phase and an online phase. The offline experiments consisted of…
- Participants
- 32
- Channels
- 17 (10-10)
- Size
- 2.03 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "offline classification" · page 1 of 10 · ranked by relevance
…an offline phase and an online phase. The offline experiments consisted of…
…2025) **Offline Classification** (held-out participants): - Accuracy: >90% for gesture classification - False…
…Open access dataset for EEG+NIRS single-trial classification. IEEE Transactions on…
…The dataset was validated using baseline signal analysis methods, with which classification…
…modality**: visual - **Synchronicity**: synchronous - **Mode**: offline ## HED Event Annotations Schema: HED 8…
…A comparison of stimulus types in online classification of the P300 speller…
…Real-time and offline analysis code can be found here: https://github…
…modality**: visual - **Synchronicity**: synchronous - **Mode**: offline - **Instructions**: Cue-based paradigm without feedback…
…ERPs were analyzed, and binary classification and BCI simulation were conducted offline…
This dataset comprises EEG recordings from participants performing go-nogo categorization and detection tasks across two recording sessions. Participants viewed briefly presented images (20 ms) and responded according to task-specific rules: lifting a finger for target stimuli (go response) or maintaining button press for non-targets (nogo response). The dataset includes two complementary tasks—animal categorization and image recognition—with systematic manipulation of stimulus presentation and response requirements, providing a rich resource for investigating event-related potentials and decision-making processes.