Work was developed continuing the main research lines,

Heart Rate Variability analysis: longterm/ non stationary ARFIMAGARCH and linear/nonlinear approaches, Modeling volatility  in HRV, taking into account empirical characteristics regarding clustering / asymmetry in the response with a leverage parameter. Partial results were presented  at the International IEEE Conference Computers in Cardiology, CINC2016 (Vancouver) , and at 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Orlando), and published in the correspondent indexed Proceedings. A comunication  MODELING LONG-MEMORY AND VOLATILITY IN HEAT RATE VARIABILITY was also presented at II Encontro Galaico-Portugués de Biometría, con aplicacioón ás Ciencias da Sauúde, á Ecoloxía e ás Ciencias do Medio Ambiente- Book of Abstracts, Santiago de Compostela, Spain, 30th June- 2nd July 2016.

Structural Breaks in Heart Rate Variabity Time Series, mentoring of the MSc Work of the Erasmus Student
Monica Introini, from Politecnico de Milano, Italy (finished February 2016).

Monitoring and data analysis in intensive care. Case studies of cardiovascular activity  and cerebral reactivity.

- Heart rate variability (HRV ) analysis of data colected at Hospital S. João (Porto) from children prior and after
surgery allowed to explore the autonomic changes and related them with effects of surgery and residual anesthesic
drugs. Results were published as a full paper at Journal of Anesthesia & Clinical Research [Silva MJ, Pinheiro
R, Almeida R, Cunha F, Ribeiro A, et al. (2016) Heart Rate Variability in Children Submitted to Surgery. J
Anesth Clin Res 7:688. doi: 10.4172/21556148.1000688].

https://www.omicsonline.org/open-access/heart-rate-variability-in-childr...

- The collaboration with Neurocritical intensive care unit of Centro Hospital S. João (Porto) allowed to initiate the
collection of more general multimodal database of the critically ill adult patients, including traumatic brain
lesion and brain death. A few cases of decompressive craniectomy HRV analysis using long memory and
heterocedasticity models allowed to present some preliminar results at the European Society Intensive Care
Meeting ESICM LIVES 2016 1–5th October 2016, Milan, Italy. [ C. Dias, R. Almeida, A. VazFerreira, J.
Silva, E. Monteiro, A. Cerejo, A.P. Rocha (2016) “Heart rate variability and multimodal brain monitoring before
and after decompressive craniectomy in traumatic brain injury”, Intensive Care Med Exp. 2016 Sep; 4 (Suppl 1):
30. Published online 2016 Sep 29. doi: 10.1186/s4063501600999].

http://link.springer.com/article/10.1186/s40635-016-0099-9