CARLA: Adjusted common average referencing for cortico-cortical evoked potential data
…stimulation was performed with a frequency of ~0.2 Hz. The stimulation…
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- Jun 26, 2026
100 results for "high-frequency stimulation" · page 7 of 10 · ranked by relevance
…stimulation was performed with a frequency of ~0.2 Hz. The stimulation…
…active electrode - **Line frequency**: 50.0 Hz - **Online filters**: hardware bandpass filter…
This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.
…based on steady-state visual stimulation. The dataset is derived from the…
…28.9 ± 9.0 years) underwent High-Intensity Interval Training (HIIT) and…
Imported from OpenNeuro ds004022
…recordings during inhibitory transcranial magnetic stimulation (TMS) applied over two parietal regions…
This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 19 healthy adult participants during a calibration session of an affective brain-computer music interface system. Participants listened to 40-second synthetic music clips designed to induce specific affective states defined by valence and arousal dimensions across 5 runs of 18 trials each. The synthetic music was generated in real-time based on target emotional states and could be modified online to induce target emotional states. The dataset includes self-reported affective state ratings and auxiliary variables, serving as calibration data for the brain-computer music interface system. This dataset is part of a three-dataset collection that includes offline training and online real-time control sessions.