Bari, V.; Marchi, A.; De Maria, B.; Girardengo, G.; George, A.L., Jr; Brink, P.A.; Cerutti, S.; Crotti, L.; Schwartz, P.J.; Porta, A.
Low-Pass Filtering Approach via Empirical Mode Decomposition Improves Short-Scale Entropy-Based Complexity Estimation of QT Interval Variability in Long QT Syndrome Type 1 Patients. Entropy 2014, 16, 4839-4854.
https://doi.org/10.3390/e16094839
AMA Style
Bari V, Marchi A, De Maria B, Girardengo G, George AL Jr, Brink PA, Cerutti S, Crotti L, Schwartz PJ, Porta A.
Low-Pass Filtering Approach via Empirical Mode Decomposition Improves Short-Scale Entropy-Based Complexity Estimation of QT Interval Variability in Long QT Syndrome Type 1 Patients. Entropy. 2014; 16(9):4839-4854.
https://doi.org/10.3390/e16094839
Chicago/Turabian Style
Bari, Vlasta, Andrea Marchi, Beatrice De Maria, Giulia Girardengo, Alfred L. George, Jr, Paul A. Brink, Sergio Cerutti, Lia Crotti, Peter J. Schwartz, and Alberto Porta.
2014. "Low-Pass Filtering Approach via Empirical Mode Decomposition Improves Short-Scale Entropy-Based Complexity Estimation of QT Interval Variability in Long QT Syndrome Type 1 Patients" Entropy 16, no. 9: 4839-4854.
https://doi.org/10.3390/e16094839
APA Style
Bari, V., Marchi, A., De Maria, B., Girardengo, G., George, A. L., Jr, Brink, P. A., Cerutti, S., Crotti, L., Schwartz, P. J., & Porta, A.
(2014). Low-Pass Filtering Approach via Empirical Mode Decomposition Improves Short-Scale Entropy-Based Complexity Estimation of QT Interval Variability in Long QT Syndrome Type 1 Patients. Entropy, 16(9), 4839-4854.
https://doi.org/10.3390/e16094839
