Paper Info
Title
A template matched-filter based scheme for detection and estimation of t-wave alternans.
Abstract
Microvolt T-wave alternans (TWA) is among the important risk stratifiers for sudden cardiac death, having significant prognostic ability. A new detection theoretic technique, called template matched-filter detector (TMFD), is proposed for TWA detection and estimation. Unlike classical schemes, which estimate the TWA amplitude directly, the proposed strategy targets alternant energy within the repolarization complexes. The scheme is evaluated using realistically synthesized ECG signals and alternant waveforms with varying temporal distributions, synthetic noises and real artifacts. The implementation of TMFD is discussed in the context of two different templates, i.e., median (TMFD-1) and mean (TMFD-2). Detection performance and estimation accuracy is validated against three classical schemes, i.e., spectral method (SM), modified moving average method (MMAM) and correlation method (CM). The proposed scheme outperforms CM over the entire range of SNR with both the templates and all noise types. Detection performance of TMFD approaches SM when the signal is corrupted with real artifacts. In Gaussian noise, performance of TMFD-1 is comparable with SM when detection probability is maximized, and is 2dB degraded for Laplacian noise. In terms of estimation accuracy, SM has the least value of bias for all noise types over the low range of SNR. In better signal conditions (SNR = 25dB), the bias of TMFD approaches SM for alternant magnitude > 40μV in the Gaussian case and for magnitudes > 20μV with real noises. The bias of TMFD for real noises is comparable to MMAM for all TWA amplitudes and there is a gap of approximately 20μV under Gaussian noise for SNR = 10dB. The proposed scheme is also promising for dynamic TWA tracking as it successfully indicates temporal origins and termini of transient alternan episodes through beat to beat estimation statistics.
Year
DOI
Venue
2014
10.1016/j.bspc.2014.05.003
Biomedical Signal Processing and Control
Keywords
Field
DocType
Detection,Electrocardiography,Estimation,T-wave alternans,Ventricular repolarization
Estimation statistics,Pattern recognition,Waveform,Gaussian,Artificial intelligence,Matched filter,Amplitude,Detector,Gaussian noise,Moving average,Mathematics
Journal
Volume
ISSN
Citations 
13
1746-8094
4
PageRank 
References 
Authors
0.47
7
3
Name
Order
Citations
PageRank
Sajid Bashir140.47
Asim Dilawer Bakhshi260.88
Mohammad Ali Maud372.86