A Unified Framework for Delineation of Ambulatory Holter ECG Events via Analysis of a Multiple-Order Derivative Wavelet-Based Measure

In this study, a new long-duration holter electrocardiogram (ECG) major events detection-delineation algorithm is described which operates based on the false-alarm error bounded segmentation of a decision statistic with simple mathematical origin. To meet this end, first three-lead holter data is pr...

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Detalhes bibliográficos
Main Authors: M. R. Homaeinezhad, A. Ghaffari, H. Najjaran Toosi, M. Tahmasebi, M. M. Daevaeiha
Formato: Artigo
Idioma:Inglês
Publicado em: Iran University of Science and Technology 2011-03-01
Colecção:Iranian Journal of Electrical and Electronic Engineering
Assuntos:
ECG Detection-Delineation
First-Order Derivative
Second-Order Derivative
Discrete Wavelet Transform
Multi Lead Analysis
Hilbert transform
curve length
variance
Neyman-Pearson Hypothesis Test
False Alarm Probability
Acesso em linha:http://ijeee.iust.ac.ir/browse.php?a_code=A-10-32-4&slc_lang=en&sid=1
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