TY - JOUR
T1 - Enhanced modified moving average analysis of T-wave alternans using a curve matching method
T2 - A simulation study
AU - Cuesta-Frau, D.
AU - Micó-Tormos, Pau
AU - Aboy, M.
AU - Biagetti, Marcelo O.
AU - Austin, D.
AU - Quinteiro, Ricardo A.
PY - 2009
Y1 - 2009
N2 - T-wave alternans (TWA) are beat-to-beat amplitude oscillations in the T-waves of electrocardiograms (ECGs). Numerous clinical studies have demonstrated the link between these oscillations and ventricular arrhythmias. Several methods have been developed in recent years to detect and quantify this important feature. Most methods estimate the amplitude differences between pairs of consecutive T-waves. One such method is known as modified moving average (MMA) analysis. The TWA magnitude is obtained by means of the maximum absolute difference of even and odd heartbeat series averages computed at T-waves or ST-T complexes. This method performs well for different levels of TWA, noise, and phase shifts, but it is sensitive to the alignment of the T-waves. In this paper we propose a preprocessing stage for the MMA method to ensure an optimal alignment of such averages. The alignment is performed by means of a continuous time warping technique. Our assessment study demonstrates the improved performance of the proposed algorithm.
AB - T-wave alternans (TWA) are beat-to-beat amplitude oscillations in the T-waves of electrocardiograms (ECGs). Numerous clinical studies have demonstrated the link between these oscillations and ventricular arrhythmias. Several methods have been developed in recent years to detect and quantify this important feature. Most methods estimate the amplitude differences between pairs of consecutive T-waves. One such method is known as modified moving average (MMA) analysis. The TWA magnitude is obtained by means of the maximum absolute difference of even and odd heartbeat series averages computed at T-waves or ST-T complexes. This method performs well for different levels of TWA, noise, and phase shifts, but it is sensitive to the alignment of the T-waves. In this paper we propose a preprocessing stage for the MMA method to ensure an optimal alignment of such averages. The alignment is performed by means of a continuous time warping technique. Our assessment study demonstrates the improved performance of the proposed algorithm.
KW - Continuous dynamic time warping
KW - Modified moving average
KW - T-wave alternans
UR - http://www.scopus.com/inward/record.url?scp=62149106341&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=62149106341&partnerID=8YFLogxK
U2 - 10.1007/s11517-008-0415-y
DO - 10.1007/s11517-008-0415-y
M3 - Article
C2 - 18936998
AN - SCOPUS:62149106341
SN - 0140-0118
VL - 47
SP - 323
EP - 331
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
IS - 3
ER -