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Detrended fluctuation analysis of heart rate by means of symbolic series
Valencia Murillo, José Fernando; Vallverdú Ferrer, Montserrat; Schroeder, Rico; Voss, Andreas; Cygankiewicz, I.; Vazquez, R.; Bayes de Luna, Antonio; Caminal Magrans, Pere
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
Detrended fluctuation analysis (DFA) has been shown to be a useful tool for diagnosis of patients with cardiac diseases. The scaling exponents obtained with DFA are an indicator of power-law correlations in signal fluctuation, independently of signal amplitude and external trends. In this work, an approach based on DFA was proposed for analyzing heart rate variability (HRV) by means of RR series. The proposal consisted on transforming consecutive RR increments to symbols, according to an adapted symbolic-quantization. Three scaling exponents were calculated, αHF, αLF and αVLF, which correspond to the well known VLF, LF and HF frequency bands in the power spectral of the HRV. This DFA approach better characterized high and low risk of cardiac mortality in ischemic cardiomyiopathy patients than DFA applied to RR time series or RR increment series.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
Heart -- Diseases -- Diagnosis -- Data processing
Cardiologia -- Informació electrònica
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