Robust genetic programming-based detection of atrial fibrillation using RR intervals
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{journals/es/YaghoubyABY12,
-
author = "Farid Yaghouby and Ahmad Ayatollahi and
Reihaneh Bahramali and Maryam Yaghouby",
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title = "Robust genetic programming-based detection of atrial
fibrillation using {RR} intervals",
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journal = "Expert Systems",
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year = "2012",
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volume = "29",
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number = "2",
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pages = "183--199",
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keywords = "genetic algorithms, genetic programming, atrial
fibrillation, heart rate variability signal, linear
genetic programming, multi-expression programming,
forward floating selection, arrhythmia detection",
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ISSN = "1468-0394",
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DOI = "doi:10.1111/j.1468-0394.2010.00571.x",
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size = "17 pages",
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abstract = "In this study, two variants of genetic programming,
namely linear genetic programming (LGP) and
multi-expression programming (MEP) are used to detect
atrial fibrillation (AF) episodes. LGP- and MEP-based
models are derived to classify samples of AF and Normal
episodes based on the analysis of RR interval signals.
A weighted least-squares (WLS) regression analysis is
performed using the same features and data sets to
benchmark the models. Another important contribution of
this paper is identification of the effective time
domain features of heart rate variability (HRV) signals
upon an improved forward floating selection (IFFS)
analysis. The models are developed using MIT-BIH
arrhythmia database. The diagnostic performances of the
LGP and MEP classifiers are evaluated through receiver
operating characteristics (ROC) analysis. The results
indicate that the LGP and MEP models are able to
diagnose the AF arrhythmia with an acceptable high
accuracy. The proposed models have significantly better
diagnosis performances than the regression and several
models found in the literature.",
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bibdate = "2012-06-05",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/es/es29.html#YaghoubyABY12",
- }
Genetic Programming entries for
Farid Yaghouby
Ahmad Ayatollahi
Reihaneh Bahramali
Maryam Yaghouby
Citations