Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning

We conclude that our EEG artifact detection algorithm provides a valid and practical solution to a common problem in the quantitative analysis and assessment of EEG in pre-clinical research settings across evolutionary spectra.