Artifact processing of the sleep EEG in the "SIESTA"-project
Artefact processing is an important issue in automated analysis of the sleep EEG. Nine artefact types were identified and their frequency of occurrence was analysed in 15 all-night sleep recordings from eight European sleep laboratories. Three artefact detection methods were evaluated with the area-under-ROC-curve (AUC), eight artefact minimisation methods were validated visually. Recommended methods are overflow detection, adaptive inverse filtering for movement and muscle detection, adaptive FIR filtering for ECG minimisation and 50Hz notch filtering.