RAW Deep Brain Stmulation Recordings

Metadata describing recordings (patient's id, surgery_id, hemisphere_id, electrode name, recording depth and length, and finally the class) are in the feather format that can be loaded using the Python pandas library. The class has a value 1 for recordings registered within the Subthalamic Nucleus (STN) and 0 otherwise.

Raw samples are stored in a npz file format that can be read using the Python numpy library. The dataset contains examples of use in pdf and Python notebook format. This dataset accompanies the paper K.A. Ciecierski, T. Mandat; Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain; Neural Networks; 2023; ISSN 0893-6080; doi.org/10.1016/j.neunet.2023.11.021.