Automatic 1D Convolutional Neural Network-based Detection of Artifacts in MEG acquired without Electrooculography or Electrocardiography

Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields induced by electrical neuronal activity; however, signal from non-neuronal sources can corrupt the data. Eye-Blinks (EB) and Cardiac Activity (CA) are two of the most common types of non-neuronal artifact...

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Veröffentlicht in:Int Workshop Pattern Recognit Neuroimaging
Hauptverfasser: Garg, Prabhat, Davenport, Elizabeth, Murugesan, Gowtham, Wagner, Ben, Whitlow, Christopher, Maldjian, Joseph, Montillo, Albert
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6814172/
https://ncbi.nlm.nih.gov/pubmed/31656826
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/PRNI.2017.7981506
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