Comput. Biol. Med. - Towards automatic detection of atrial fibrillation: A hybrid computational approach.

Tópicos

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Resumo

In this study, new methods coupling genetic programming with orthogonal least squares (GP/OLS) and simulated annealing (GP/SA) were applied to the detection of atrial fibrillation (AF) episodes. Empirical equations were obtained to classify the samples of AF and Normal episodes based on the analysis of RR interval signals. Another important contribution of this paper was to identify the effective time domain features of heart rate variability (HRV) signals via an improved forward floating selection analysis. The models were developed using the MIT-BIH arrhythmia database. A radial basis function (RBF) neural networks-based model was further developed using the same features and data sets to benchmark the GP/OLS and GP/SA models. The diagnostic performance of the GP/OLS and GP/SA classifiers was evaluated using receiver operating characteristics analysis. The results indicate a high level of efficacy of the GP/OLS model with sensitivity, specificity, positive predictivity, and accuracy rates of 99.11%, 98.91%, 98.23%, and 99.02%, respectively. These rates are equal to 99.11%, 97.83%, 98.23%, and 98.534% for the GP/SA model. The proposed GP/OLS and GP/SA models have a significantly better performance than the RBF and several models found in the literature.

Resumo Limpo

studi new method coupl genet program orthogon least squar gpol simul anneal gpsa appli detect atrial fibril af episod empir equat obtain classifi sampl af normal episod base analysi rr interv signal anoth import contribut paper identifi effect time domain featur heart rate variabl hrv signal via improv forward float select analysi model develop use mitbih arrhythmia databas radial basi function rbf neural networksbas model develop use featur data set benchmark gpol gpsa model diagnost perform gpol gpsa classifi evalu use receiv oper characterist analysi result indic high level efficaci gpol model sensit specif posit predict accuraci rate respect rate equal gpsa model propos gpol gpsa model signific better perform rbf sever model found literatur

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