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Principal component analysis and dynamic time-warping in subbands for ECG reconstruction

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

Abstract

The aim of this study was to combine methods from different fields of scientific research, such as dynamic programming, pattern recognition and signal processing to solve a very demanding problem of ECG signal reconstruction in extremely noisy environment. A fast method of signal decomposition into frequency subbands was developed. Its application, and processing the respective subbands with the use of either principal component analysis or dynamic time warping based methods allowed us to achieve a significant progress in suppression of highly intractable electric motion artifacts. The investigations performed showed the proposed method prevalence over the well known nonlinear state-space projections developed in the field of nonlinear dynamics.

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
Pages315-325
Number of pages11
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

  • DTW
  • ECG reconstruction
  • PCA
  • Subband decomposition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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