100 results for "automated sleep classification" · page 6 of 10 · ranked by relevance
…target and non-target event classifications. ## Dataset Summary | Property | Value | |---|---| | Subjects | 19…
…This resource supports brain-computer interface research and motor imagery classification studies…
…computer interface applications, achieving mean classification accuracy of 66.2±4.8…
…computer interface applications, achieving mean classification accuracy of 73.3±8.9…
…Offline Classification** (held-out participants): - Accuracy: >90% for gesture classification - False-negative…
…categories through single-trial EEG classification and representational similarity analysis. ## Dataset Summary…
…offline classification, iterative calibration (1-6 blocks) ## Performance (Original Study) - **Accuracy**: 95…
…extraction and relevance vector machine classification, achieving approximately 49% mean accuracy across…
…In a 10-fold cross validation test, a classification accuracy over 80…
…and Mørup, M. (2015), Multi-class classification of ICS of EEG. Psychophysiol…