Seizure recognition on epilepsy feature tensor
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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%.
Original language | English |
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Title of host publication | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 |
Number of pages | 4 |
Publication date | 1 Dec 2007 |
Pages | 4273-4276 |
Article number | 4353280 |
ISBN (Print) | 1424407885, 9781424407880 |
DOIs | |
Publication status | Published - 1 Dec 2007 |
Event | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France Duration: 23 Aug 2007 → 26 Aug 2007 |
Conference
Conference | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 |
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Land | France |
By | Lyon |
Periode | 23/08/2007 → 26/08/2007 |
Sponsor | ACIES, 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 |
Series | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
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ISSN | 0589-1019 |
ID: 222926100