Literature DB >> 20798786

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

A Khaustov1, S Nemati, Gd Clifford.   

Abstract

We describe an open source algorithm suite for T-Wave Alternans (TWA) detection and quantification. The software consists of Matlab implementations of the widely used Spectral Method and Modified Moving Average with libraries to read both WFDB and ASCII data under windows and Linux. The software suite can run in both batch mode and with a provided graphical user interface to aid waveform exploration. Our software suite was calibrated using an open source TWA model, described in a partner paper [1] by Clifford and Sameni. For the PhysioNet/CinC Challenge 2008 we obtained a score of 0.881 for the Spectral Method and 0.400 for the MMA method. However, our objective was not to provide the best TWA detector, but rather a basis for detailed discussion of algorithms.

Entities:  

Year:  2008        PMID: 20798786      PMCID: PMC2927842          DOI: 10.1109/CIC.2008.4749090

Source DB:  PubMed          Journal:  Comput Cardiol        ISSN: 0276-6574


  5 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.  An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms.

Authors:  Gd Clifford; S Nemati; R Sameni
Journal:  Comput Cardiol       Date:  2008

3.  Methodological principles of T wave alternans analysis: a unified framework.

Authors:  Juan Pablo Martínez; Salvador Olmos
Journal:  IEEE Trans Biomed Eng       Date:  2005-04       Impact factor: 4.538

4.  Influence of heart rate and sympathetic stimulation on arrhythmogenic T wave alternans.

Authors:  E S Kaufman; J A Mackall; B Julka; C Drabek; D S Rosenbaum
Journal:  Am J Physiol Heart Circ Physiol       Date:  2000-09       Impact factor: 4.733

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

Authors:  Gb Moody
Journal:  Comput Cardiol       Date:  2008
  5 in total
  7 in total

1.  An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms.

Authors:  Gd Clifford; S Nemati; R Sameni
Journal:  Comput Cardiol       Date:  2008

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

Authors:  H Naseri; H Pourkhajeh; M R Homaeinezhad
Journal:  Med Biol Eng Comput       Date:  2013-05-22       Impact factor: 2.602

3.  T-wave alternans patterns during sleep in healthy, cardiac disease, and sleep apnea patients.

Authors:  Shamim Nemati; Atul Malhotra; Gari D Clifford
Journal:  J Electrocardiol       Date:  2010-12-15       Impact factor: 1.438

4.  A nonparametric surrogate-based test of significance for T-wave alternans detection.

Authors:  Shamim Nemati; Omar Abdala; Violeta Monasterio; Susie Yim-Yeh; Atul Malhotra; Gari D Clifford
Journal:  IEEE Trans Biomed Eng       Date:  2010-04-19       Impact factor: 4.538

5.  An artificial vector model for generating abnormal electrocardiographic rhythms.

Authors:  Gari D Clifford; Shamim Nemati; Reza Sameni
Journal:  Physiol Meas       Date:  2010-03-22       Impact factor: 2.833

6.  Computer software tool for heart rate variability (HRV), T-wave alternans (TWA) and heart rate turbulence (HRT) analysis from ECGs.

Authors:  Krzysztof Kudryński; Paweł Strumiłło; Jan Ruta
Journal:  Med Sci Monit       Date:  2011-09

7.  An Excel-based implementation of the spectral method of action potential alternans analysis.

Authors:  Charles M Pearman
Journal:  Physiol Rep       Date:  2014-12-11
  7 in total

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