The goal of this project is to enable deep learning research in neuroscience by releasing the largest publicly available database of EEG recordings. This ongoing project currently includes over 30,000 EEGs spanning the years from 2002 to present.
In addition to the raw EEG data, patient medical histories and physician interpretations of the data are available. The EEG data consists of a minimum of 24 channels of 16-bit data sampled at 250 Hz. Along with the sampled data, we have annotations generated by physicians for a small subset of the data.
Several important subsets of the data are being released, including data to support seizure detection and normal/abnormal classification.
Downloads: Download the latest version of the database and view earlier versions.
Publications: Access background information related to this project.