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Dynamic time warping based on modified alignment costs for evoked potentials averaging

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Averaging of time-warped signal cycles is an important tool for suppressing noise of quasi-periodic or event related signals. However, in the paper we show that the operation of time warping introduces unfavorable correlation among the noise components of the summed cycles. Such correlation violates the requirements necessary for effective averaging and results in poor suppression of noise. To limit these effects, we redefine the matrix of the alignment costs. The proposed modifications result in significant increase of the noise reduction factor in the experiments on different types and levels of noise.

Original languageEnglish
Title of host publicationMan–Machine Interactions - 4th International Conference on Man–Machine Interactions, ICMMI 2015
EditorsTadeusz Czachórski, Aleksandra Gruca, Agnieszka Brachman, Stanisław Kozielski, Tadeusz Czachórski
PublisherSpringer Verlag
Pages305-314
Number of pages10
ISBN (Print)9783319234366
DOIs
Publication statusPublished - 2016
Event4th International Conference on Man–Machine Interactions, ICMMI 2015 - Kocierz Pass, Poland
Duration: 6 Oct 20159 Oct 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume391
ISSN (Print)2194-5357

Conference

Conference4th International Conference on Man–Machine Interactions, ICMMI 2015
Country/TerritoryPoland
CityKocierz Pass
Period6/10/159/10/15

Keywords

  • Dynamic time warping
  • Evoked potentials
  • Nonlinear alignment

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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