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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Laciar, E. Jane, R. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. ESAII, CREB, Universitat Politècnica de Catalunya, Barcelona, Spain; Gabinete de Tecnología Médica, Universidad Nacional de San Juan, San Juan, Argentina (Laciar, E.) |
| Abstract | The aim of this paper is to analyze the beat-to-beat variability of ventricular late potentials (LP) in high resolution ECG (HRECG) records of patients with Chagas' disease. In order to evaluate the LP activity, we propose a method which computes the bi-dimensional (2-D) cross-correlation between a template spectro-temporal (STM) of LP and the STM of each individual beat of the HRECG record. As LP detection parameter, we used the maximum value of the 2-D cross-correlation multiplied by a noise correction factor. The method was applied in HRECG records of eight Chagasic patients with high myocardial damage Our results show that three patients have a low beat-to-beat variability of the detection parameter, reflecting the presence of reproducible and stable LP in their HRECG records. However, the other five patients show a high or moderate variability of the detection parameter, reflecting the possible existence of beat-to-beat variable LP. |
| Starting Page | 3605 |
| Ending Page | 3608 |
| File Size | 253684 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780384393 |
| DOI | 10.1109/IEMBS.2004.1404013 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Virtual manufacturing Background noise Band pass filters Signal resolution Electrocardiography Frequency Signal mapping Fractionation Cardiac disease Cardiovascular diseases ventricular late potentials Bi-dimensional cross-correlation high resolution ECG signals spectro-temporal maps |
| Content Type | Text |
| Resource Type | Article |
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