Medizinische Universität Graz - Research portal

Go directly to the nagivation.
Go directly to the content.

Navigation/Search

Selected Publication:

Anderer, P; Roberts, S; Schlögl, A; Gruber, G; Klösch, G; Herrmann, W; Rappelsberger, P; Filz, O; Barbanoj, MJ; Dorffner, G; Saletu, B.
Artifact processing in computerized analysis of sleep EEG - a review.
Neuropsychobiology. 1999; 40(3):150-157 Doi: 10.1159/000026613
Web of Science PubMed FullText FullText_MUG

Authors Med Uni Graz:
Altmetrics:
Dimensions Citations:
Plum Analytics:
Scite (citation analytics):
Abstract:: Quantitative analysis of sleep EEG data can provide valuable additional information in sleep research. However, analysis of data contaminated by artifacts can lead to spurious results. Thus, the first step in realizing an automatic sleep analysis system is the implementation of a reliable and valid artifact processing strategy. This strategy should include: (1) high-quality recording techniques in order to minimize the occurrence of avoidable artifacts (e.g. technical artifacts); (2) artifact minimization procedures in order to minimize the loss of data by estimating the contribution of different artifacts in the EEG recordings, thus allowing the calculation of the 'corrected' EEG (e.g. ocular and ECG interference), and finally (3) artifact identification procedures in order to define epochs contaminated by remaining artifacts (e.g. movement and muscle artifacts). Therefore, after a short description of the types of artifacts in the sleep EEG and some typical examples obtained in different sleep stages, artifact minimization and identification procedures will be reviewed.
Find related publications in this database (using NLM MeSH Indexing): Artifacts -; Computers -; Electroencephalography - instrumentation; Humans - instrumentation
Find related publications in this database (Keywords): Sleep EEG Analysis; Artifact Minimization; Artifact Identification