2026-05-28T19:46:12Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/261542026-02-03T12:33:59Zcom_10630_2254col_10630_38021
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Molina-Molina, Mario
author
Tardón-García, Lorenzo José
author
Barbancho-Pérez, Ana María
author
Barbancho-Pérez, Isabel
2023-03-20T13:09:39Z
2023-03-20T13:09:39Z
2023
https://hdl.handle.net/10630/26154
Companion files (code & dataset) - Matlab-Fieldtrip Implementation of Tools for Lessening the Influence of Artifacts in EEG Analysis
This manuscript describes software tools implemented in Matlab to reduce the influence of artifacts, specifically focused on eye artifacts, in the acquisition and measurement of electroencephalogram signals (EEG). This process is of great importance for the analysis and study of long trial samples, when the appearance of eye artifacts can not be avoided. The implementations, which are provided to the readers, correspond to the methods proposed in \cite{b2}, which are aimed at the partial or complete elimination of EEG channels or independent components obtained after independent component analysis (ICA) of the EEG signals that most resemble the ocular signals (EOG) measured simultaneously. In addition to the documentation of each of the provided Matlab functions, examples of use and illustrative figures will be included to show the expected results and processing pipeline.
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Software
Companion files (code & dataset) - Matlab-Fieldtrip Implementation of Tools for Lessening the Influence of Artifacts in EEG Analysis
other
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URL
https://riuma.uma.es/bitstreams/d4101bf0-69e7-4a3d-a0ef-3f3aaa4c923b/download
File
MD5
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application/octet-stream
MATLAB_codeanddataset_Tools_for_Lessening_Influence_Artifacts_EEG.rar