EEG-PML: A Software for Processing and Machine Learning Analysis of EEG Signals

Abstract

Studies on EEG involve great amount of data to be processed and analyzed, requiring valuable time that the researchers could spend on more important tasks. On this work we developed a software that incorporates pre-processing algorithms like visualization and windowing tools, band pass filter and artifact removal tools, along with the machine learning algorithms: K-Means to group the data and Decision Trees to classify it. We expect that EEG-PML facilitates researchers work and, with the help of the machine learning algorithms, the studies over the EEG data can advance over new areas of research.