EEG-based depression classification using harmonized datasets

Autor: Stepan Botman, Vladimir Savinov, Natalia Shusharina, Viktor Sapunov, Anastasia Tynterova, Gleb Kamyshov
Rok vydání: 2021
Předmět:
Zdroj: 2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).
Popis: In this work harmonization technique was used to combine multiple depression-related datasets with EEG data into one. A simple CNN model was trained on each individual dataset and combined one to solve the same binary classification problem. Comparison of obtained metrics allowed to back up the necessity to combine data from different sources. Additionally, the inadequacy of employing regular shuffle split instead of per-patient split to the problem under consideration was demonstrated.
Databáze: OpenAIRE