The temporal stability of recurrence quantification analysis attributes from chronic atrial fibrillation electrograms-Reference-Cited by-同舟云学术

The temporal stability of recurrence quantification analysis attributes from chronic atrial fibrillation electrograms

Published:2018-10 Issue:4 Volume:34 Page:337-349
ISSN:2446-4740
Container-title:Research on Biomedical Engineering
language:
Short-container-title:Res. Biomed. Eng.

Author:

Almeida Tiago Paggi de¹,Schlindwein Fernando Soares²,Salinet João³,Li Xin⁴,Chu Gavin Shen-Wei⁵,Tuan Jiun Haur⁶,Stafford Peter James⁶,Ng G André⁷,Soriano Diogo Coutinho³

Affiliation:

1. Aeronautics Institute of Technology, Brazil; Federal ABC University, Brazil

2. University of Leicester, United Kingdom; Glenfield Hospital, United Kingdom

3. Federal ABC University, Brazil

4. University of Leicester, United Kingdom

5. University of Leicester, United Kingdom; University Hospitals of Leicester NHS Trust, United Kingdom

6. University Hospitals of Leicester NHS Trust, United Kingdom

7. Glenfield Hospital, United Kingdom; University of Leicester, United Kingdom; University Hospitals of Leicester NHS Trust, United Kingdom

Publisher

FapUNIFESP (SciELO)

Subject

Biomedical Engineering

Link

http://www.scielo.br/pdf/reng/v34n4/2446-4740-reng-34-4-337.pdf

Reference52 articles.

1. Minimizing discordances in automated classification of fractionated electrograms in human persistent atrial fibrillation;Almeida TP;Med Biol Eng Comput,2016

2. The temporal behavior and consistency of bipolar atrial electrograms in human persistent atrial fibrillation;Almeida TP;Med Biol Eng Comput,2018

3. Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis;Almeida TP;Chaos,2018

4. Recurrence plots and their quantifications: expanding horizons;Arce H,2016

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