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Seizure recognition on epilepsy feature tensor

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  • Evrim Acar
  • Canan Aykut Bingos
  • Haluk Bingol
  • Bro, Rasmus
  • Bülent Yener

With a goal of automating visual analysis of electroencephalogram (EEG) data and assessing the performance of various features in seizure recognition, we introduce a mathematical model capable of recognizing patient-specific epileptic seizures with high accuracy. We represent multi-channel scalp EEG using a set of features. These features expected to have distinct trends during seizure and non-seizure periods include features from both time and frequency domains. The contributions of this paper are threefold. First, we rearrange multi-channel EEG signals as a third-order tensor called an Epilepsy Feature Tensor with modes: time epochs, features and electrodes. Second, we model the Epilepsy Feature Tensor using a multilinear regression model, i.e., Multilinear Partial Least Squares regression, which is the generalization of Partial Least Squares (PLS) regression to higher-order datasets. This two-step approach facilitates EEG data analysis from multiple electrodes represented by several features from different domains. Third, we identify which features are more significant for seizure recognition. Our results based on the analysis of 19 seizures from 5 epileptic patients demonstrate that multiway analysis of an Epilepsy Feature Tensor can detect (patient-specific) seizures with classification accuracy ranging between 77-96%.

OriginalsprogEngelsk
Titel29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Antal sider4
Publikationsdato1 dec. 2007
Sider4273-4276
Artikelnummer4353280
ISBN (Trykt)1424407885, 9781424407880
DOI
StatusUdgivet - 1 dec. 2007
Begivenhed29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, Frankrig
Varighed: 23 aug. 200726 aug. 2007

Konference

Konference29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
LandFrankrig
ByLyon
Periode23/08/200726/08/2007
SponsorACIES, Research Promotion and Management Consulting, EOARD, European Office of Aerospace R and D, Grand Lyon, NSF, National Science Foundation, Philips Research Europe, Philips Research North America
NavnAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN0589-1019

ID: 222926100