Symbolic indexing of cardiological sequences through dynamic curve representations

  • M. Baroni
  • G. Congiu
  • A. Del Bimbo
  • A. Evangelisti
  • E. Vicario
Biomedical Applications II
Part of the Lecture Notes in Computer Science book series (LNCS, volume 974)


Digital image analysis supports diagnostic activities by highlighting geometric and temporal features of physiological phenomena that are not perceivable to the human observation. These features can be exploited to build up symbolic representations of visual data in medical reports and to index them within large databases. The comparison of such representations against descriptive queries capturing the properties of significant physiological phenomena supports new diagnostic approaches through the systematic analysis of database reports. A prototype system is presented which supports the construction of symbolic representations and their comparison against descriptive queries capturing geometric and temporal properties of time-varying 2D shapes deriving from dynamic cardiac analyses. The system is embedded within a visual shell allowing physicians to compose content-oriented queries through iconic interaction.


Apical Region Symbolic Representation Visual Data Systolic Phase Chain Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • M. Baroni
    • 1
  • G. Congiu
    • 2
  • A. Del Bimbo
    • 2
    • 3
  • A. Evangelisti
    • 2
  • E. Vicario
    • 2
  1. 1.Dip. Ingegneria ElettronicaUniversità di FirenzeItaly
  2. 2.Dip. Sistemi e InformaticaUniversità di FirenzeItaly
  3. 3.Dip. Elettronica per l'AutomazioneUniversità di BresciaItaly

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