Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs
| Autor: | Matteo Fraschini, Simone Maurizio La Cava, Giuseppe Rodriguez, Andrea Vitale, Matteo Demuru |
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| Rok vydání: | 2020 |
| Předmět: |
Resting state fMRI
medicine.diagnostic_test Computers Epoch (reference date) Computer science business.industry M/EEG epoch selection resting-state Reproducibility of Results Electroencephalography Pattern recognition Biochemistry Atomic and Molecular Physics and Optics Analytical Chemistry Computer-aided medicine Humans Artificial intelligence Electrical and Electronic Engineering business Instrumentation Selection (genetic algorithm) |
| Zdroj: | Sensors; Volume 22; Issue 8; Pages: 2853 |
| DOI: | 10.1101/2020.05.26.116434 |
| Popis: | M/EEG resting-state analysis often requires the definition of the epoch length and the criteria to select which epochs to include in the subsequent steps. However, the effects of epoch selection remain scarcely investigated and the procedure used to (visually) inspect, label, and remove bad epochs is often not documented, thus hindering the reproducibility of the reported results. In this study, we present Scorepochs, a simple and freely available tool for the automatic scoring of resting-state M/EEG epochs that aims to provide an objective method to aid M/EEG experts during epoch selection procedure. We tested our approach on a freely available EEG dataset containing recordings from 109 subjects using the BCI2000 64-channel system. |
| Databáze: | OpenAIRE |
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