EEG dataset
时间: 2023-09-18 15:06:20 浏览: 101
EEG datasets are collections of electroencephalography (EEG) recordings that have been made in order to study brain activity. EEG is a non-invasive technique that measures electrical activity in the brain through electrodes placed on the scalp. EEG datasets can be used for a variety of purposes, including research on cognitive neuroscience, clinical diagnosis and treatment of neurological disorders, and brain-computer interfaces.
Some examples of popular EEG datasets include the following:
1. The EEG Motor Movement/Imagery Dataset: This dataset contains EEG recordings from subjects performing motor movements or imagining movements. It is commonly used for research on brain-computer interfaces.
2. The PhysioNet EEG Motor Movement/Imagery Dataset: This dataset contains EEG recordings from subjects performing motor movements or imagining movements, as well as corresponding labels for the movements.
3. The BCI Competition IV Dataset: This dataset contains EEG recordings from subjects performing motor movements or imagining movements, as well as corresponding labels for the movements. It is commonly used for research on brain-computer interfaces.
4. The DEAP Dataset: This dataset contains EEG recordings from subjects watching emotional videos, as well as corresponding self-reported emotional ratings. It is commonly used for research on affective computing.
5. The MIMIC-III EEG Database: This dataset contains EEG recordings from critically ill patients, and is commonly used for research on clinical neurophysiology.
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