100 results for "EEG classification" · page 6 of 10 · ranked by relevance
…The eeg folder contains the source raw EEG data of several runs…
A large-scale EEG dataset comprising recordings from 7,933 participants across India and Tanzania, collected through field-based research programs with nonspecialist teams. The dataset includes electroencephalographic recordings alongside demographic metadata (age, sex, income) and mental health assessments (Mental Health Quotient scores). Data quality was validated using PREP and FASTER methods and demonstrated comparability to controlled laboratory benchmarks, establishing the feasibility of cost-effective, high-throughput EEG data collection in diverse, low- and middle-income country settings.
…Custom MATLAB tools using EEGLAB BIDS plugin **Data curator**: Yahya Shirazi, SCCN…
A raw electrophysiological dataset containing long-term potentiation (LTP) delay repetition free recall task recordings. This dataset provides neuroimaging data organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and sharing of electrophysiological measurements collected during cognitive tasks involving memory encoding and retrieval.
…offline classification, iterative calibration (1-6 blocks) ## Performance (Original Study) - **Accuracy**: 95…
…2017) ## Overview This dataset comprises preprocessed EEG recordings from 8 healthy subjects…
…Hz for classification), baseline correction, artifact rejection (±100μV for EEG, ±500μV for…
This dataset comprises EEG recordings from two related studies (2019 and 2021) investigating speech decoding through phoneme discrimination tasks combined with transcranial magnetic stimulation (TMS). Study 1 involved 8 participants performing discrimination of consonant-vowel and vowel-consonant phoneme pairs with TMS targeting motor cortex regions (lip and tongue motor areas). Study 2 expanded to 16 participants and included single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords) with additional TMS targets in Broca's area and verbal memory regions. The dataset provides a comprehensive resource for investigating the neural mechanisms underlying speech perception and articulation.
…and Mørup, M. (2015), Multi-class classification of ICS of EEG. Psychophysiol…