100 results for "classification" · page 4 of 10 · ranked by relevance
…Offline Classification** (held-out participants): - Accuracy: >90% for gesture classification - False-negative…
A high-gamma EEG dataset comprising 14 healthy subjects performing motor imagery tasks (left hand, right hand, feet, and rest) recorded at 500 Hz with 128 channels. This is a BIDS-formatted derivative of the original dataset described in Schirrmeister et al. 2017, which was used to develop and validate deep convolutional neural networks for end-to-end EEG decoding. The derivative demonstrates that deep learning approaches can match or exceed traditional feature-based methods (FBCSP) while learning interpretable spectral power modulations in alpha, beta, and high-gamma frequency bands.
…categories through single-trial EEG classification and representational similarity analysis. ## Dataset Summary…
…This resource supports brain-computer interface research and motor imagery classification studies…
…and Mørup, M. (2015), Multi-class classification of ICS of EEG. Psychophysiol…
…extraction and relevance vector machine classification, achieving approximately 49% mean accuracy across…
…offline classification, iterative calibration (1-6 blocks) ## Performance (Original Study) - **Accuracy**: 95…
…Boosting bit rates in non-invasive EEG single-trial classifications by feature…
…network capable of subject-independent classification of perceived sentences. We found that…
…Derivatives The processed data for HFO detection and classification are shown in…