Literature DB >> 23695363

A unified procedure for detecting, quantifying, and validating electrocardiogram T-wave alternans.

H Naseri1, H Pourkhajeh, M R Homaeinezhad.   

Abstract

The precision of T-wave alternans (TWA) quantification depends certainly upon the way we choose to align T-waves and to get feedbacks from the electrocardiogram (ECG) quality. Quantifying the ECG TWA based on assigning automatically the required number of T-waves along with applying a proper T-wave alignment approach is the purpose of this paper. The structure of the proposed method mainly consists of seven sections: preprocessing, ECG events detection-delineation, alignment of cycles, T-wave template extraction, T-wave delineation, T-wave left- and right-lobes synchronization, and T-wave alternans quantification-detection by getting feedback from ECG quality value. The proposed method is examined in two ways. First, some artificially generated ECGs with predefined TWA patterns and qualities are analyzed in order to regulate the parameters of the method to achieve the maximum performance. Finally, the method is applied to PhysioNet/Computing in Cardiology Challenge 2008 database. In this stage, the achieved accuracy is about 91.0 %, which shows marginal improvement in the area of TWA quantification.

Mesh:

Year:  2013        PMID: 23695363     DOI: 10.1007/s11517-013-1084-z

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  31 in total

1.  PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

Authors:  A L Goldberger; L A Amaral; L Glass; J M Hausdorff; P C Ivanov; R G Mark; J E Mietus; G B Moody; C K Peng; H E Stanley
Journal:  Circulation       Date:  2000-06-13       Impact factor: 29.690

2.  Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy.

Authors:  Bruce D Nearing; Richard L Verrier
Journal:  J Appl Physiol (1985)       Date:  2002-02

3.  Usefulness of the Poincaré maps in detection of T-wave alternans in precordial leads of standard ECG--a comparison with the spectral method.

Authors:  J Ruta; P Strumiłło
Journal:  Med Sci Monit       Date:  2001 May-Jun

4.  Automatic microvolt T-wave alternans identification in relation to ECG interferences surviving preprocessing.

Authors:  Laura Burattini; Silvia Bini; Roberto Burattini
Journal:  Med Eng Phys       Date:  2011-01       Impact factor: 2.242

5.  A robust wavelet-based multi-lead Electrocardiogram delineation algorithm.

Authors:  A Ghaffari; M R Homaeinezhad; M Akraminia; M Atarod; M Daevaeiha
Journal:  Med Eng Phys       Date:  2009-08-18       Impact factor: 2.242

6.  Analysis of T-wave alternans using the dominant T-wave paradigm.

Authors:  Luca Mainardi; Roberto Sassi
Journal:  J Electrocardiol       Date:  2011 Mar-Apr       Impact factor: 1.438

7.  Matrix of regularity for improving the quality of ECGs.

Authors:  Henian Xia; Gabriel A Garcia; Jujhar Bains; Dale C Wortham; Xiaopeng Zhao
Journal:  Physiol Meas       Date:  2012-08-17       Impact factor: 2.833

8.  An Open-Source Standard T-Wave Alternans Detector for Benchmarking.

Authors:  A Khaustov; S Nemati; Gd Clifford
Journal:  Comput Cardiol       Date:  2008-09-14

9.  The PhysioNet / Computers in Cardiology Challenge 2008: T-Wave Alternans.

Authors:  Gb Moody
Journal:  Comput Cardiol       Date:  2008

10.  Segmentation of holter ECG waves via analysis of a discrete wavelet-derived multiple skewness-kurtosis based metric.

Authors:  A Ghaffari; M R Homaeinezhad; M Khazraee; M M Daevaeiha
Journal:  Ann Biomed Eng       Date:  2010-01-20       Impact factor: 3.934

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  1 in total

1.  Improved robust T-wave alternans detectors.

Authors:  O Meste; D Janusek; S Karczmarewicz; A Przybylski; M Kania; A Maciag; R Maniewski
Journal:  Med Biol Eng Comput       Date:  2015-02-03       Impact factor: 2.602

  1 in total

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