An automated magnetoencephalographic data cleaning algorithm

Antonietta Sorriso, Pierpaolo Sorrentino, Rosaria Rucco, Laura Mandolesi, Giampaolo Ferraioli, Stefano Franceschini, Michele Ambrosanio and Fabio Baselice

Computer Methods in Biomechanics and Biomedical Engineering, 2019, vol. 22, issue 14, 1116-1125

Abstract: The problem of cleaning magnetoencephalographic data is addressed in this manuscript. At present, several denoising procedures have been proposed in the literature, nevertheless their adoption is limited due to the difficulty in implementing and properly tuning the algorithms. Therefore, as of today, the gold standard remains manual cleaning. We propose an approach developed with the aim of automating each step of the manual cleaning. Its peculiarities are the ease of implementation and using and the remarkable reproducibility of the results. Interestingly, the algorithm has been designed to imitate the reasoning behind the manual procedure, carried out by trained experts. Our statistical analysis shows that no significant differences can be found between the two approaches.

Date: 2019
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DOI: 10.1080/10255842.2019.1634695

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