title: Robust time-frequency analysis of newborn EEG seizure corrupted by impulsive artefacts.
abstract: The newborn EEG seizure is a nonstationary signal. The time-varying nature of the newborn EEG seizure can be characterized by time-frequency representations (TFRs) such as quadratic time-frequency distributions. The underlying time-frequency signatures of newborn EEG seizure, however, can be severely masked by short-time and high amplitude (STHA), or impulsive, artefacts. This type of artefact can be modelled as heavy-tailed noise. Robust time-frequency distributions (RTFDs) have been proposed as methods for TFRs which are robust to heavy-tailed noise. In this paper, we investigate the use of RTFDs for representing the underlying time-frequency characteristics of newborn EEG seizure in the presence of STHA artefacts.
authors.affiliation: Perinatal Research Centre, School of Medicine, University of Queensland, Royal Brisbane and Women's Hospital, Brisbane, Australia.
authors.forename: James
authors.initials: J
authors.lastname: Brotchie
authors.forename: Luke
authors.initials: L
authors.lastname: Rankine
authors.forename: Mostefa
authors.initials: M
authors.lastname: Mesbah
authors.forename: Paul
authors.initials: P
authors.lastname: Colditz
authors.forename: Boualem
authors.initials: B
authors.lastname: Boashash
mesh_terms: D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D007231:Infant, Newborn / Q000502:physiology*; D012640:Seizures / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted; D016008:Statistical Distributions