Your browser doesn't support javascript.
loading
Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs.
Fraschini, Matteo; La Cava, Simone Maurizio; Rodriguez, Giuseppe; Vitale, Andrea; Demuru, Matteo.
  • Fraschini M; Department of Electrical and Electronic Engineering, University of Cagliari, 09124 Cagliari, Italy.
  • La Cava SM; Department of Electrical and Electronic Engineering, University of Cagliari, 09124 Cagliari, Italy.
  • Rodriguez G; Department of Mathematics and Computer Science, University of Cagliari, 09124 Cagliari, Italy.
  • Vitale A; Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, 16163 Rovereto, Italy.
  • Demuru M; Liceo Scientifico e Linguistico Statale "G. Marconi", 07100 Sassari, Italy.
Sensors (Basel) ; 22(8)2022 Apr 08.
Article en En | MEDLINE | ID: mdl-35458838
ABSTRACT
M/EEG resting-state analysis often requires the definition of the epoch length and the criteria in order 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, thereby 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 the epoch selection procedure. We tested our approach on a freely available EEG dataset containing recordings from 109 subjects using the BCI2000 64 channel system.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Computadores / Electroencefalografía Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Computadores / Electroencefalografía Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article