Extracting concealed atrial premature contractions from ambulatory Holter data using a PC-based system

S. Mahapatra, B. Lin, P. J. Wang, N. A.M. Estes, M. K. Hammoud, M. S. Link, A. Al-Ahmad

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Atrial fibrillation may be cured by eliminating triggering atrial premature contractions (APCs.) Characterizing these APCs may help localize triggers, however this is difficult when the APC is obscured by the preceding T-wave. Therefore we sought to develop an inexpensive method to extract APCs from ambulatory Holter monitors in AF patients. We examined 24-hour Holter strips from patients with AF triggered by APCs. Triggering and non-triggering APCs were extracted using a PC-based T-wave subtraction algorithm. The extracted APCs were compared visually as well as by correlation software. :The software accurately identified 29 episodes of atrial fibrillation and extracted 76 APCs in 12 patients. In all cases, visual inspection confirmed the presence of atrial fibrillation of APCs. Triggering APCs were similar to other triggering APCs in each patient while non-triggering APCs were less similar to other non-triggering APCs in each patient. Triggering APCs were different from non-triggering APCs. Automated computerized subtraction of T-waves using an inexpensive PC-based system may permit characterization of APCs during ambulatory monitoring.

Original languageEnglish (US)
Pages (from-to)409-411
Number of pages3
JournalComputers in Cardiology
StatePublished - 2004
EventComputers in Cardiology 2004 - Chicago, IL, United States
Duration: Sep 19 2004Sep 22 2004

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine


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