6533b7d2fe1ef96bd125dee4

RESEARCH PRODUCT

Extraction of ERP from EEG data

Tommi KärkkäinenHeikki LyytinenTapani RistaniemiAndriy Ivannikov

subject

SequenceQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testComputer sciencebusiness.industrySpeech recognitionPattern recognitionElectroencephalographyIndependent component analysisLinear subspaceComputingMethodologies_PATTERNRECOGNITIONSignal-to-noise ratioEeg dataEvent-related potentialmedicineArtificial intelligenceNoise (video)business

description

In this article, a simple but novel technique for extracting a linear subspace related to event related potentials (ERPs) from ElectroEncephaloGraphy (EEG) data is introduced. The technique consists of a sequence of basic linear operations applied to multidimensional EEG data in a problem-specific manner. The derivation of the proposed technique is given and results with real data are described together with overall conclusions.

yearjournalcountryeditionlanguage
2007-02-012007 9th International Symposium on Signal Processing and Its Applications
https://doi.org/10.1109/isspa.2007.4555470