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Teaching Electro and Phono Cardiology with Microcomputer

  • W. C. de Lima
  • R. G. Ojeda
  • C. I. Zanchin
  • J. M. Barreto
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 45)

Abstract

A microprocessor controlled system, aimed at the training of cardiologists in the interpretation of phono and electrocardiogram signals, was developed and implemented. The system has two independent modules: the data acquisition module and the generation module. The data acquisition module allows the creation of digital files of ECG and standard cardiac sounds which are processed by a microcomputer and stored in an EPROM. By using these data files, the microprocessor generation module generates the standard signals allowing the user to choose the kind and shape of signal to be generated. These signals can then be visualized in a monitor or plotter and an audio output. The system allows the user to simulate typical heart disease signals at different frequencies and to change the standard signals by software.

Keywords

Acquisition Module Standard Signal Floppy Disk Digital Analog Converter Data Acquisition Module 
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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References

  1. [1]
    Lefevre, J. & J. Barreto, “Didactic microcomputer simulation in cardiac dynamics”, 5th.Conf. on Frontiers of Eng. in Health Care, (IEEE), Columbus, Ohio, 1983.Google Scholar
  2. [2]
    Lefevre, J., R. Fabri, J. Barreto, “An Authoring System for Computer Aided Instruction and Simulation in Physiology”, 7th Annual Conf. of the IEEE Eng. in Medicine and Biology, pp.731–733, Chicago, Illinois, Sept. 27–30, 1985.Google Scholar
  3. [3]
    Milnor, W., “Hemodynamics”, Williams & Wilkins, Baltimore, 1982.Google Scholar
  4. [4]
    Pagano, R. & J. Barreto, “Laboratory Experiment Simulation in Electrical Engineering Education”. 3rd European Simul. Cong. Edinburg, Sept. 5–8, 1989Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • W. C. de Lima
    • 1
  • R. G. Ojeda
    • 1
  • C. I. Zanchin
    • 1
  • J. M. Barreto
    • 2
  1. 1.Dept.Electrical EngineeringUniv. Federal de St. CatarinaFlorianópolisBrazil
  2. 2.Lab. of Neurophysiology & Lab. of AutomaticsUniversité Catholique de LouvainBelgium

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