Comparing Manual and Automatic Artifact Detection in Sleep EEG Recordings.

ABSTRACT: Sleep electroencephalogram (EEG) recordings can be contaminated by artifacts. Visual and automatic methods have been developed to mark such erroneous segments of EEG data. Here, we systematically explored the effect of artifacts on the sleep EEG power spectrum density (PSD), and we compared gold-standard visual detections to a simple automatic detector using Hjorth parameters to identify artifacts. We found that most distortions in the all-night average PSD occur because of a small minority of highly anomalous artifacts, which mainly affect the beta and gamma frequency ranges and NREM delta. Visual and automatic detections only showed moderate agreement in which data segments are artifactual. However, the resulting all-night average PSD is highly similar across all methods, and PSDs calcul

SUBMITTER: Ujma PP 

PROVIDER: S-EPMC11807946 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature