NDLI: Automatic localization of epileptic spikes in eegs of children with infantile spasms

Content Provider	IEEE Xplore Digital Library
Author	Traitruengsakul, S. Seltzer, L.E. Paciorkowski, A.R. Ghoraani, B.
Copyright Year	2015
Description	Author affiliation: Dept. of Neurology, Univ. of Rochester Med. Center, Rochester, NY, USA (Seltzer, L.E.; Paciorkowski, A.R.) \|\| Biomed. Eng. Dept., Rochester Inst. of Technol., Rochester, NY, USA (Traitruengsakul, S.; Ghoraani, B.)
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.
Starting Page	6194
Ending Page	6197
File Size	1916218
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319807
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Time-frequency analysis Matrix decomposition Algorithm design and analysis Discharges (electric) Software Feature extraction non-negative matrix factorization EEG hypsarrythmia infantile spasms timefrequency analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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