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

Journal article

We present a nonparametric adaptive surrogate test that allows for the differentiation of statistically significant T-wave alternans (TWA) from alternating patterns that can be solely explained by the statistics of noise. The proposed test is based on estimating the distribution of noise-induced alternating patterns in a beat sequence from a set of surrogate data derived from repeated reshuffling of the original beat sequence. Thus, in assessing the significance of the observed alternating pa...

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Authors: Nemati, S; Abdala, O; Monasterio, V; Yim-Yeh, S; Malhotra, A

• Publication status: Published
• Journal: IEEE transactions on bio-medical engineering
• Volume: 58
• Issue: 5
• Pages: 1356-1364
• Publication date: 2011-05-01
• DOI: 10.1109/tbme.2010.2047859
• EISSN: 1558-2531
• ISSN: 0018-9294
• Language: English
• Keywords: Models, Cardiovascular; Computer Simulation; Databases, Factual; Statistics, Nonparametric; Electrocardiography; Humans; Signal Processing, Computer-Assisted