Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis-Reference-Cited by-同舟云学术

Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis

Published:2018-08 Issue:8 Volume:28 Page:085710
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Almeida Tiago P.¹²,Schlindwein Fernando S.³⁴^ORCID,Salinet João²^ORCID,Li Xin⁵,Chu Gavin S.⁵⁶,Tuan Jiun H.⁶,Stafford Peter J.⁶,Ng G. André⁴⁵⁶^ORCID,Soriano Diogo C.²

Affiliation:

1. Aeronautics Institute of Technology, ITA, São José dos Campos 12228-900, Brazil

2. Engineering, Modelling and Applied Social Sciences Centre, Federal ABC University, Santo André 09606-045, Brazil

3. Department of Engineering, University of Leicester, Leicester LE1 7RH, United Kingdom

4. National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, United Kingdom

5. Department of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, United Kingdom

6. University Hospitals of Leicester NHS Trust, Leicester LE1 5WW, United Kingdom

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5024248

Reference61 articles.

1. Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals

2. Recurrence-plot-based measures of complexity and their application to heart-rate-variability data

3. Recurrence plots for the analysis of complex systems

4. Automated Prediction of Sudden Cardiac Death Risk Using Kolmogorov Complexity and Recurrence Quantification Analysis Features Extracted from HRV Signals

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