Improved manual annotation of eeg signals through convolutional neural network guidance

HIGHLIGHTS

• who: Robin Weiler et al. from the Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), and Psychosocial Care, Emma Children`s Hospital, University Medical Centers, The, HV, The Netherlands have published the research: Improved Manual Annotation of EEG Signals through Convolutional Neural Network Guidance, in the Journal: (JOURNAL)
• what: In this proof-of-concept study, the authors propose an iterative deep-learning-based approach that could accelerate and increase the quality of manual annotation of artifacts in resting-state multichannel EEG recordings and improve gold-standard signal data that would be suitable . . .
  

   

  

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