A T-wave alternans assessment method based on least squares curve fitting technique
Article
Article Title | A T-wave alternans assessment method based on least squares curve fitting technique |
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ERA Journal ID | 650 |
Article Category | Article |
Authors | Wan, Xiangkui (Author), Li, Yan (Author), Xia, Chong (Author), Wu, Minghu (Author), Liang, Jin (Author) and Wang, Na (Author) |
Journal Title | Measurement |
Journal Citation | 86, pp. 93-100 |
Number of Pages | 8 |
Year | May 2016 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 0263-2241 |
1873-412X | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.measurement.2016.01.046 |
Web Address (URL) | http://www.sciencedirect.com/science/article/pii/S0263224116001433 |
Abstract | T-wave alternans (TWA) is hypothesized to be related with patients at an increased risk for ventricular arrhythmias. A novel TWA assessment method based on least squares curve fitting techniques (LSCF) is presented in this paper. Real clinical ECG recordings and simulated ECG signals containing additive TWAs and noise are used to test the efficiency of the LSCF. The results are also compared with those by the Modified Moving Average(MMA) algorithm. The experimental results demonstrate that the LSCF is efficiency and promising in detecting and measuring TWAs. |
Keywords | Electrocardiograph (ECG); T-wave alternans; Curve fitting |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400607. Signal processing |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Hubei University of Technology, China |
Guangdong Biolight Meditech Company, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3x06/a-t-wave-alternans-assessment-method-based-on-least-squares-curve-fitting-technique
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