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

doi:10.1109/TBME.2002.802060

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 journal › Article › peer-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 language	English (US)
Pages (from-to)	1068-1070
Number of pages	3
Journal	IEEE Transactions on Biomedical Engineering
Volume	49
Issue number	9
DOIs	https://doi.org/10.1109/TBME.2002.802060
State	Published - Sep 1 2002
Externally published	Yes

Keywords

Alignment
Clustering
Epilepsy
MEG
Paroxysmal discharges

ASJC Scopus subject areas

Biomedical Engineering

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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.",

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AU - Kalitzin, Stiliyan

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AU - Parra, Jaime

AU - Velis, Demetrios

AU - Manshanden, Ilonka

AU - Da Silva, Fernando Lopes

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AB - 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.

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KW - Clustering

KW - Epilepsy

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KW - Paroxysmal discharges

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