BCI_Competetion_IV_2b/meta.json

{
    "name": "BCI_Competetion_IV_2b",
    "source": "https://www.bbci.de/competition/iv/download/index.html?agree=yes&submit=Submit",
    "desp": "The BCI Competition IV 2b dataset paper presents a detailed EEG dataset from a study with nine right-handed subjects. The dataset comprises five sessions per subject, with the first two for training without feedback and the next three for recordings with feedback. Subjects were seated comfortably, focusing on a screen, while EEG data were recorded at 250 Hz. Sessions included eye-related tasks and motor imagery of left and right hands. EEG data are in GDF format, with class labels for trials. The evaluation involves continuous classification outputs, emphasizing artifact removal techniques. The paper references relevant studies, serving as a comprehensive guide for competition participants.",
    "domain": "Others",
    "license": "Unknown",
    "targets": [
        "C4",
        "Cz",
        "C3"
    ],
    "covariates": [
        "label"
    ],
    "timestamp": null,
    "freq": [
        "4ms"
    ],
    "num_series": 43,
    "num_timesteps": 8457327,
    "num_datapoints": 25371981,
    "split": "train",
    "quality": "medium",
    "timestamp_as_covariate": false
}