Robust power spectral estimation for EEG data.

ABSTRACT:

Background

Typical electroencephalogram (EEG) recordings often contain substantial artifact. These artifacts, often large and intermittent, can interfere with quantification of the EEG via its power spectrum. To reduce the impact of artifact, EEG records are typically cleaned by a preprocessing stage that removes individual segments or components of the recording. However, such preprocessing can introduce bias, discard available signal, and be labor-intensive. With this motivation, we present a method that uses robust statistics to reduce dependence on preprocessing by minimizing the effect of large intermittent outliers on the spectral estimates.

New method

Using the multitaper method (Thomson, 1982) as a starting point, we replaced the final step of the standard power spec

SUBMITTER: Melman T 

PROVIDER: S-EPMC4903894 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature