Characterizing patterns of response during mild stress-testing in continuous echocardiography recordings using a multiview dimensionality reduction technique

  • Authors
  • Nogueira M., Piella G., Sanchez-Martinez S., Langet H., Saloux E., Bijnens B., and De Craene M
  • UPF authors
  • PIELLA FENOY, GEMA; BIJNENS, BART H; SANCHEZ MARTINEZ, SERGIO; NOGUEIRA ., MARIANA ANTUNES;
  • Type
  • Scholarly articles
  • Journal títle
  • Lecture Notes in Computer Science / Artificial Intelligence
  • Publication year
  • 2017
  • Volume
  • 10263
  • Pages
  • 502-513
  • ISSN
  • 0302-9743
  • Publication State
  • Published
  • Abstract
  • In this paper, we capture patterns of response to cardiac stress-testing using a multiview dimensionality reduction technique that allows the compact representation of patient response to stress, regarding multiple features over consecutive cycles, as a low-dimensional trajectory. In this low-dimensional space, patients can be compared and clustered in distinct healthy and pathological responses, and the patterns that characterize each of them can be reconstructed. Experiments were performed on (a) synthetic data simulating different types of response and (b) a real acquisition during a cold pressor test. Results show that the proposed approach allows the clustering of healthy and pathological responses, as well as the reconstruction of characteristic patterns of such responses, in terms of multiple features of interest.
  • Complete citation
  • Nogueira M., Piella G., Sanchez-Martinez S., Langet H., Saloux E., Bijnens B., and De Craene M. Characterizing patterns of response during mild stress-testing in continuous echocardiography recordings using a multiview dimensionality reduction technique. Lecture Notes in Computer Science / Artificial Intelligence 2017; 10263( ): 502-513.
Bibliometric indicators
  • 0 times cited Scopus
  • 0 times cited WOS
  • Índex Scimago de 0.295(2017)