Publications
A study on the optimum order of autoregressive models for heart rate variability. {PHYSIOLOGICAL MEASUREMENT}. 2002;{23}:{325-336}.Edit
Modelling long-term heart rate variability: an ARFIMA approach. {BIOMEDIZINISCHE TECHNIK}. 2006;{51}:{215-219}.Edit
Long-Range Dependence in Heart Rate Variability Data: ARFIMA Modelling vs Detrended Fluctuation Analysis. In: {34th Annual Conference on Computers in Cardiology}. Vol {34}. {IEEE}; 2007. {. {p. 21-24p. }.Edit
Long Memory and Volatility in HRV: An ARFIMA-GARCH Approach. In: Murray A, editor. {36th Annual Computers in Cardiology Conference (CinC 2009)}. Vol {36}. {IEEE}; 2009. {. {p. 165-168p. }.Edit
Beyond long memory in heart rate variability: An approach based on fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity. Chaos. 2013;23.Edit
Enhancing scaling exponents in heart rate by means of fractional integration. In: {Computing in Cardiology}. Vol {40}.; 2013. {. {p. 433-436p. }.
Heart rate variability analysis in healthy subjects, patients suffering from congestive heart failure and heart transplanted patients. Motricidade. 2013;9:54-63.Edit
Scaling Exponents in Heart Rate Variability. J. L. da Silva, F. Caeiro, I. Natário, and C. Braumann, eds ed. Springer 2013.
Long-term HRV in critically ill pediatric patients: Coma versus brain death. In: Computing in Cardiology Conference (CinC), 2014.; 2014. 8. p. 89-92p. Edit
Long-term HRV in critically ill pediatric patients:Coma versus brain death. In: Computing in Cardiology Conference (CinC), 2014. Vol 41. USA, Cambridge M.A.: IEEE; 2014. 8. p. 89-92p. Edit
Modeling Volatility in Heat Rate Variability. In: 38Th Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embc 2016, Orlando, Fl, Usa, August 16-20, 2016. Ieee; 2016. 3. p. 3582-3585p. (Embc).
Volatility Leveraging in Heart Rate: health vs disease. In: Computing in Cardiology 2016. Vol vol. 43. IEEE ed.; 2016. 0. p. 008-287p. Edit