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

被引:9
|
作者
Mainardi, Luca [2 ]
Sassi, Roberto [1 ]
机构
[1] Univ Milan, Dipartimento Tecnol Informaz, I-26013 Crema, CR, Italy
[2] Politecn Milan, Dipartimento Bioingn, Milan, Italy
关键词
T-wave alternans; Cardiac transmembrane potentials; Repolarization analysis; ELECTRICAL ALTERNANS; MECHANISM; GENESIS; COMPLEX;
D O I
10.1016/j.jelectrocard.2010.11.017
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The dominant T wave (DTW) reflects the derivative of the repolarization phase of the transmembrane potential of myocytes. T-wave alternans (TWA) is defined as an alteration of this repolarization that repeats every other beat. We investigate if the DTW can offer new insight on TWA. We first proved that the DTW estimate obtained through singular value decomposition is optimal, because it minimizes the norm of the residuals. Then we suggested an optimal estimate of the vector of lead factors, in the case in which the DTW is given. Finally, we derived a mathematical relationship between observable TWA on electrocardiogram and DTW morphology. The relationship depends on the slope of the repolarization phase of the myocytes' transmembrane potentials and on the dispersion of the repolarization times. Based on this finding, a new index meant to quantify TWA was defined and termed amplitude of dominant T-wave alternans (ADTWA). A preliminary validation of the index was performed using the synthetic records contained in the Computers in Cardiology 2008 data set. They were obtained from 5 electrocardiogram models to which TWA was added at different extents. We found a linear relationship between the TWA amplitude and the ADTWA metric (R-2 = 0.9898 +/- 0.100 across all models). Moreover, the root mean square error between actual and estimated TWA amplitudes was 10.9 mu V (ADTWA) vs 12.9 mu V obtained with the classical spectral method. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:119 / 125
页数:7
相关论文
共 50 条
  • [21] T-WAVE ALTERNANS ASSOCIATED WITH AMIODARONE
    BARDAJI, A
    VIDAL, F
    RICHART, C
    JOURNAL OF ELECTROCARDIOLOGY, 1993, 26 (02) : 155 - 157
  • [22] T-wave alternans: predicting the unpredictable?
    Boersma, Lucas V. A.
    EUROPEAN HEART JOURNAL, 2007, 28 (19) : 2303 - 2304
  • [23] How to analyze T-wave alternans
    Richter, S
    Duray, G
    Hohnloser, SH
    HEART RHYTHM, 2005, 2 (11) : 1268 - 1271
  • [24] Spatial Distribution of T-Wave Alternans
    Janusek, D.
    Fereniec, M.
    Kania, M.
    Kepski, R.
    Maniewski, R.
    COMPUTERS IN CARDIOLOGY 2007, VOL 34, 2007, 34 : 721 - +
  • [25] T-wave alternans and atrial tachycardia
    Tomcsanyi Janos
    Aranyi Peter
    ORVOSI HETILAP, 2020, 161 (07) : 275 - 277
  • [26] Nonlinear Detection of T-Wave Alternans
    Vaananen, H.
    COMPUTERS IN CARDIOLOGY 2008, VOLS 1 AND 2, 2008, : 769 - 772
  • [27] A proposal for a T-wave alternans index
    Madias, John E.
    JOURNAL OF ELECTROCARDIOLOGY, 2007, 40 (06) : 479 - 481
  • [28] Use of Dominant T-Wave to Reduce T-Wave Offset Location Uncertainty
    Giuliani, Corrado
    Agostinelli, Angela
    Burattini, Laura
    2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), 2013, 40 : 771 - 774
  • [29] Detection Of T-Wave Alternans Using The Wavelet Transform
    Boix, M.
    Mico, P.
    Cuesta, D.
    ANALYSIS OF BIOMEDICAL SIGNALS AND IMAGES, 2008, : 520 - 523
  • [30] A Bayesian Filtering Application for T-wave Alternans Analysis
    Irshad, Azeem
    Bakhshi, Asim Dilawar
    Bashir, Sajid
    2015 12TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST), 2015, : 222 - 227