Detection of seizure signals in newborns
This paper considers a system design for processing a multidimensional biomedical signal formed by EEG, ECG, EOG and motion recorded from a newborn, for the purpose of detection of epileptic seizures in newborns as an extension of the method reported in Boashash et al. (1997) and Roessgen et al. (1998). We describe the proposed design, and discuss how the signals will be analysed and fused to detect the occurrence of seizure. We also discuss the role of modelling in refining the signal processing unit.
- Engineering Innovation Research [44 items ]
Showing items related by title, author, creator and subject.
|An improved method for nonstationary signals components extraction based on the ICI rule ||Lerga, J; Sucic, V; Boashash, B||2011||IEEE||Conference Paper|
|Multiple-view time-frequency distribution based on the empirical mode decomposition ||Stevenson, N.J; Mesbah, M; Boashash, B||2010||Institution of Engineering and Technology||Article|
|An automatic time-frequency procedure for interference suppression by exploiting their geometrical features ||Saulig, Nicoletta; Sucic, Victor; Boashash, Boualem||2011||IEEE||Conference Paper|