Brahim Khalil Jawad
ESME Sudria, France
Title: Improving the time-frequency image of newborn EEG seizure like signal using Ambiguity domain characteristics of a general signal model
Biography
Biography: Brahim Khalil Jawad
Abstract
Newborn EEG seizure signals appear as piecewise segments in the time frequency domain. Improving the time frequency image can be done using a quadratic-time frequency distribution which has the disadvantage of introducing undesirable interference commonly called cross terms. Using a signal model which mimics the typical behaviour of newborn EEG seizure signals, cross-terms can be characterized in the ambiguity domain. A filter can then be defined and an improvement of the time frequency image quality of newborn EEG seizure signals can be made possible. The filter is tested on both simulated and real signals and compared with current ones.