title: Dual approach for automated sleep spindles detection within EEG background activity in infant polysomnograms.
abstract: An automated system for sleep spindles detection within EEG background activity, combining two different approaches, is presented. The first approach applies detection criteria on the sigma-band filtered EEG signal, including fuzzy thresholds. The second approach mimics an expert's procedure. A sleep spindle detection is validated if both approaches agree. The method was applied on a testing set, consisting of continuous sleep recordings of two patients, totaling 1132 epochs (pages). A total of 803 sleep spindles events were marked by the experts. Results showed an 87.7% agreement between the detection system and the medical experts.
authors.affiliation: Dept. of Electr. Eng., Chile Univ., Santiago, Chile.
authors.forename: Claudio M
authors.initials: CM
authors.lastname: Held
authors.forename: Leonardo
authors.initials: L
authors.lastname: Causa
authors.forename: Pablo
authors.initials: P
authors.lastname: Estévez
authors.forename: Claudio
authors.initials: C
authors.lastname: Pérez
authors.forename: Marcelo
authors.initials: M
authors.lastname: Garrido
authors.forename: Cecilia
authors.initials: C
authors.lastname: Algarín
authors.forename: Patricio
authors.initials: P
authors.lastname: Peirano