EEG Seizure Detection and Prediction

[Remi-Gau]

Using EEG recordings from patients with epilepsy, detect whether a seizure is currently occurring. The data was obtained from 22 patients over several hours, across 23 separate electrodes. A label of 0 indicates interictal periods (non-seizure), and a label of 1 indicates a seizure is occurring at that time.
Possible targets are listed below.

• Detect whether a seizure is occurring in a given input (binary target).
• Detect when a seizure is happening in a given input.
• Predict whether a seizure will happen within 60 minutes of the current sample. (note: labels will need some minor processing).
• Predict seizures in patients whose data has not been seen (leave-one-patient-out cross-validation).

The data will be available on-site and on ElementAI's machines, and is about 38GB.

Source: https://github.com/brainhack101/deepbrainhack2017/wiki