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Tytuł artykułu

Analysis of human eye movements during the plot inspection as a tool of assessment of local informative value of the 12-lead ECG

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main goal of every method of automatic analysis, recognition and also understanding of any medical signal is to follow the physician’s method of observation and thinking. Apparently it is easy, because the procedures of human interpretation of biosignals are now well standardized. In fact the real way of making observations and thinking about diagnosis highly depends on the observer experience and personal skills. In this paper, a new eyetrack-based approach is proposed for quantitative assessment of these important factors. The visual experiment carried out on cardiologists of various professional experience supplied the scanpaths data for the analysis in context of observed ECG traces the proposed approach, without the verbalization necessity, allows the cardiologists know-how to be extracted, analyzed and implemented in the automatic interpretation algorithm for better emulate the human way of thinking. It can be very useful for designing of new algorithms for automatic ECG signal analysis, recognition and also understanding by the machines.
Twórcy
  • Departament of Automatics, AGH University of Technology, 30 Mickiewicz Ave., 30-050 Kraków, Poland, rtad@agh.edu.pl
Bibliografia
  • 1. Augustyniak P.: Pursuit of the ECG Information Density by Data Cancelling in Time-Frequency Domain - IFMBE Proc. 2002, 2, 152-153.
  • 2. Dick A.O.: Instrument scanning and controlling: using eye movement data to understand pilot behavior and strategies NASA CR 3306, (1980).
  • 3. Ober J.K., OberJ.J.,Malawski M., Skibniewski W., Przedpelska-Ober E., Hryniewiecki J.: Monitoring Pilot's Eye Movements during the Combat Flight-The White Box, Biocybernetics and Biomedical Engineering, 2002, 22, (2-3), 241-264.
  • 4. Pelz J.B., Canosa R.: Oculomotor behavior and perceptual strategies in complex tasks, Vision Research, 2001, 41, 3587-3596.
  • 5. Boccignone G.: An Information-theoretic Approach to Active Vision Proc. 11th International Conference on Image Analysis and Processing, 2001.
  • 6. Tadeusiewicz R., Ogiela M. R.: Medical Image Understanding Technology, Series: Studies in Fuzziness and Soft Computing, 2004, 156, Springer-Verlag, Berlin - Heidelberg - New York.
  • 7. Ober J., Hajda J., Loska J., Jamicki M.: Application of eye movement measuring system Ober2 to medicine and technology, Proc. of SPIE, 1997, 3061 (1), 327-332.
  • 8. Willems J.L.: Common Standards for Quantitative Electrocardiography 10th CSE Progr. Report, ACCO Publ., 1990.
  • 9. Salvucci D.D., Anderson J.R.: Automated Eye-Movement Protocol Analysis Human-Computer Interaction 2000, 28.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0043-0020
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