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
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.
The data will be available on-site and on ElementAI's machines, and is about 38GB.
Source: https://github.com/brainhack101/deepbrainhack2017/wiki