c-VEP dataset from Thielen et al. (2015)
…downsampling from 2048 Hz to 360 Hz, linear de-trending, common average…
- Participants
- 12
- Channels
- 64 (10-10)
- Citations
- 72
- HED
- v8.4.0
- Size
- 11.0 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
100 results for "linear discriminant analysis" · page 4 of 10 · ranked by relevance
…downsampling from 2048 Hz to 360 Hz, linear de-trending, common average…
…rest in between, consisting of linear ramps up and down performed at…
This dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
…LDA, linear binary classifier - **Feature extraction**: spatio-temporal features, r2 coefficient, interval…
…rest in between, consisting of linear ramps up and down performed at…
…Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal…
NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG
…the Freesurfer surface based non-linear transformation. We note that this surface…
…FMRI PREPROCESSING We modeled the BOLD signal using a general linear model…