100 results for "signal classification" · page 6 of 10 · ranked by relevance
…5 sessions x 100 trials (50 left + 50 right) ## Signal Processing - **Classifiers…
This dataset comprises electroencephalography recordings from 16 subjects viewing rapid serial visual presentations of gabor-like stimuli at two presentation rates (6.67 Hz and 20 Hz). Participants performed a concurrent fixation color change detection task while EEG data were acquired. The study investigates the dynamics of visual feature coding and neural mechanisms underlying perception and feature integration.
…False ## Signal Processing - **Classifiers**: template-matching, reconvolution, CCA - **Feature extraction**: encoding model…
…and classification. The dataset consists of 256-channel EEG signals from 11…
…Electroencephalogram signals recorded from 13 healthy subjects during an auditory oddball paradigm…
…negative emotions) and 28.9% for seven-category emotion classification, both significantly…
This dataset comprises EEG recordings from 16 healthy participants performing a code-modulated visual evoked potential (c-VEP) brain-computer interface task using p-ary m-sequences. The study evaluates non-binary m-sequence stimulation patterns to enhance user comfort in c-VEP-based BCIs. Data were collected across 5 sessions per subject with 8 runs per session at 256 Hz sampling rate using 16 EEG channels, providing a comprehensive resource for BCI research and algorithm development.
…In this experiment, participants completed two tasks - classification and passive viewing. In…
…In this experiment, participants completed two tasks - classification and passive viewing. In…