Correlation-based alignment of multichannel signals and application to paroxysmal events

Stiliyan Kalitzin, Wojciech Zbijewski, Jaime Parra, Demetrios Velis, Ilonka Manshanden, Fernando Lopes Da Silva

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a new group-theoretical approach to the problem of alignment of time events in multichannel signal recordings. Such an alignment is an essential phase in the classification of transients in electroencephalogram/magnetoencephalogram (MEG) signals. A common reference frame is reconstructed applying a time translation transformation based on delayed mutual correlation functions of the individual events. The method is applied to MEG data sets recorded from epileptic patients showing paroxysmal interictal discharges.

Original languageEnglish (US)
Pages (from-to)1068-1070
Number of pages3
JournalIEEE Transactions on Biomedical Engineering
Volume49
Issue number9
DOIs
StatePublished - Sep 1 2002
Externally publishedYes

Keywords

  • Alignment
  • Clustering
  • Epilepsy
  • MEG
  • Paroxysmal discharges

ASJC Scopus subject areas

  • Biomedical Engineering

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