ARFIMA-GARCH Modeling of HRV: Clinical Application in Acute Brain Injury

  • Rute Almeida
  • Celeste Dias
  • Maria Eduarda Silva
  • Ana Paula RochaEmail author


In the last decade, several HRV based novel methodologies for describing and assessing heart rate dynamics have been proposed in the literature with the aim of risk assessment. Such methodologies attempt to describe the non-linear and complex characteristics of HRV, and hereby the focus is in two of these characteristics, namely long memory and heteroscedasticity with variance clustering. The ARFIMA-GARCH modeling considered here allows the quantification of long range correlations and time-varying volatility. ARFIMA-GARCH HRV analysis is integrated with multimodal brain monitoring in several acute cerebral phenomena such as intracranial hypertension, decompressive craniectomy and brain death. The results indicate that ARFIMA-GARCH modeling appears to reflect changes in Heart Rate Variability (HRV) dynamics related both with the Acute Brain Injury (ABI) and the medical treatments effects.



This work was supported in part by Portuguese funds through CIDMA UID/MAT/04106/2013 and CMUP UID/MAT/00144/2013, funded by the Portuguese Foundation for Science and Technology (FCT -Fundação para a Ciência e a Tecnologia), projects TEC2013-42140-R and TIN2014-53567-R from the MINECO with European Regional Development Fund (FEDER), Spain, and by Grupo Consolidado BSICoS (T-96) from DGA (Aragón, Spain) and European Social Fund (EU).


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Rute Almeida
    • 1
  • Celeste Dias
    • 2
  • Maria Eduarda Silva
    • 3
  • Ana Paula Rocha
    • 4
    Email author
  1. 1.CMUP and BSICoSUniversidade do PortoPortoPortugal
  2. 2.CHSJ and FMUPUniversidade do PortoPortoPortugal
  3. 3.CIDMA and FEPUniversidade do PortoPortoPortugal
  4. 4.CMUP and FCUPUniversidade do PortoPortoPortugal

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