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Pattern Recognition in Biological Signals

  • Jan H. van Bemmel
  • Jan L. Talmon
Chapter
  • 32 Downloads
Part of the Developments in Cardiovascular Medicine book series (DICM, volume 37)

Abstract

Biological signals cover a wide range of frequencies, from almost zero, e.g. the signals representing the changes in the menstrual cycle, up to several kHz, e.g. from the electromyogram (see Table 1). In this contribution we will discuss some statistical and other operations on biological signals, especially on the ECG, not only because the latter signal is representive for a time-varying biological phenomenon, but also since the efforts made and the results obtained in electrocardiography are very illustrative for the methods applied to biological signals in general.

Keywords

Point Process Detection Function Instantaneous Amplitude Computer Interpretation Pattern Recognition Application 
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

© ECSC, EEC, EAEC, Brussels-Luxembourg 1984

Authors and Affiliations

  • Jan H. van Bemmel
    • 1
  • Jan L. Talmon
    • 1
  1. 1.Dept. Medical InformaticsFree UniversityAmsterdamThe Netherlands

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