Visual Occlusions with Treadmill Walking Speeds EEG
…GND and one REF, & 8 EMG electrodes (Inferior and Superior; Left and…
- Participants
- 15
- Channels
- 120 (other)
- Size
- 3.31 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
100 results for "wrist-based EMG" · page 10 of 10 · ranked by relevance
…GND and one REF, & 8 EMG electrodes (Inferior and Superior; Left and…
This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
…The LLP estimates the mean target and non-target responses based on…
…We review such unsupervised machine learning methods for BCIs based on event…
…0 - EMG Channels: 0 - Miscellaneous Channels: 0 - Trigger Channels: 0 This configuration…
…Original experiment also recorded EMG and EOG but these are not in…
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
…P9, Pz, T7, T8, x_EMGl, x_GSR, x_Optic, x_Pulse…
Beetl2021-B is a preprocessed EEG dataset from the NeurIPS 2021 BEETL competition, focused on transfer learning for motor imagery decoding. It contains 32-channel EEG recordings from 2 healthy subjects performing a 4-class motor imagery task (left hand, right hand, feet, rest) sampled at 200 Hz. The dataset is designed to benchmark transfer learning and domain adaptation algorithms addressing cross-subject and cross-dataset generalization challenges in brain-computer interfaces.
…the image for 6 seconds based on the prompt, then close their…