Ear-EEG Sleep Monitoring 2019 (EESM19)
…and chin EMG electrodes), ear-EEG and a wristworn actigraph, in their…
- Participants
- 20
- Citations
- 98
- Size
- 783 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
…and chin EMG electrodes), ear-EEG and a wristworn actigraph, in their…
…cue-based - **Mode**: offline ## HED Event Annotations Schema: HED 8.4.0…
…common average reference, bandpass filtering (0.5-50 Hz), ICA-based EOG…
…cue-based Mode: offline HED Event Annotations --------------------- Schema: HED 8.4.0…
…limb motor imagery EEG dataset based on the multi-paradigm and > longitudinal…
…These parameters were based on Romaiguère et al. (2003) and the perception…
…both pickles unchanged (`All_data_BP.pickle`, which also holds the EMG…
…Cue-based single-class left- or right-hand motor imagery; each recording…
…cue-based Mode: offline HED Event Annotations --------------------- Schema: HED 8.4.0…
EEG recordings from 12 healthy, BCI-naive participants performing kinesthetic motor imagery of upper-limb, elbow-centered tasks. The paradigm has 10 classes: rest, elbow flexion, and eight goal-directed daily-living tasks such as drawer opening, soup eating, weight lifting and combing. Data were recorded with a 17-channel EGI system at 1000 Hz. The dataset supports research on the versatility of EEG models for motor-imagery BCI control and rehabilitation.