RAW Deep Brain Stmulation Recordings
The dataset contains 4650 DBS recordings acquired during 46 DBS surgeries for Parkinson's Disease. 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; https://doi.org/10.1016/j.neunet.2023.11.021. Please cite the above reference if you wish to use this data.
Steps to reproduce
The dataset has been created from the recording during 46 PD DBS surgeries.