DocumentCode :
3685357
Title :
Automatic localization of epileptic spikes in eegs of children with infantile spasms
Author :
Supachan Traitruengsakul;Laurie E. Seltzer;Alex R. Paciorkowski;Behnaz Ghoraani
Author_Institution :
Rochester Institute of Technology, Biomedical Engineering Department, USA
fYear :
2015
Firstpage :
6194
Lastpage :
6197
Abstract :
A novel methodology is proposed for identifying epileptiform discharges associated with individuals exhibiting Infantile Spasms (ISS) also known as West Syndrome, which is characterized by electroencephalogram (EEG) recordings exhibiting hypsarrythmia (HYPS). The approach to identify these discharges consists of three stages: first - construct the time-frequency domain (TFD) of the EEG recording using matching pursuit TFD (MP-TFD), second - decompose the TFD matrix into two submatrices (W, H) using non-negative matrix factorization (NMF), and third - use the decomposed spectral and temporal vectors to locate the epileptiform discharges, referred to as spikes, during intervals of HYPS. The method was applied to an EEG dataset of five individuals and the identification of spike locations was compared with those which were visually identified by the epileptologists and those obtained using commercially available clinical analysis software. The MP-TFD method resulted in average true positive and false negative percentages of 86% and 14%, respectively, which represents a significant improvement over the clinical software, which achieved average true positive and false negative percentages of 4% and 96%, respectively.
Keywords :
"Electroencephalography","Time-frequency analysis","Matrix decomposition","Algorithm design and analysis","Discharges (electric)","Software","Feature extraction"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319807
Filename :
7319807
Link To Document :
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