Digital technology in cardiac pacing: Methods for morphology analysis of sensed endocavitary signals

Luigi Padeletti, Antonio Michelucci, Gerd Fröhlig, Giorgio Corbucci, Geeske Van Oort, Serge S. Barold

Research output: Contribution to journalArticlepeer-review


Proper functioning of a pacemaker depends exclusively on the detection of intrinsic cardiac signals. Conventional devices merely establish the presence of an endocavitary potential, but do not evaluate it qualitatively. The recent incorporation of digital signal processing of sensed events in pacemakers permits diagnostic characterization heretofore impossible. Methods: Digital processing was used in 268 cardiac cycles recorded from 5 patients during elective dual chamber pacemaker replacement, The signals were classified in real time by an external pacemaker equipped with hardware and software capabilities for this purpose. Results: The parameters used for morphological analysis were the minimum value of the slope signal and the minimum value of the filtered signal. The discrimination of a true atrial signal from a far-field R wave was correct in every patient (p <0.0001). Conclusion: Digital devices may monitor and classify every event continually, and dramatically increase device reliability and the amount of information that can be processed and stored.

Original languageEnglish
Pages (from-to)9-16
Number of pages8
JournalJournal of Interventional Cardiac Electrophysiology
Issue number1
Publication statusPublished - Oct 2005


  • Digital signal processing
  • Morphology
  • Pacemaker

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine


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