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2020 | OriginalPaper | Chapter

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

Authors : Lluvia Gwendolyn Alvarado-Robles, Carlos Miguel Munguia-Nava, Israel Román-Godínez, Ricardo Antonio Salido-Ruiz, Sulema Torres-Ramos

Published in: VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering

Publisher: Springer International Publishing

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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.

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Metadata
Title
EEG-PML: A Software for Processing and Machine Learning Analysis of EEG Signals
Authors
Lluvia Gwendolyn Alvarado-Robles
Carlos Miguel Munguia-Nava
Israel Román-Godínez
Ricardo Antonio Salido-Ruiz
Sulema Torres-Ramos
Copyright Year
2020
Book
VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering

Print ISBN: 978-3-030-30647-2

Electronic ISBN: 978-3-030-30648-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-30648-9_1