Assessment of cardio-respiratory interactions in preterm infants by bivariate autoregressive modeling and surrogate data analysis
Background: Cardio-respiratory interactions are weak at the earliest stages of human development, suggesting that assessment of their presence and integrity may be an important indicator of development in infants. Despite the valuable research devoted to infant development, there is still a need for...
Main Authors: | Indic, Premananda, Bloch-Salisbury, Elisabeth, Bednarek, Frank, Brown, Emery N., Paydarfar, David, Barbieri, Riccardo |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | en_US |
Published: |
Elsevier
2016
|
Online Access: | http://hdl.handle.net/1721.1/102245 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X |
Similar Items
-
Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis
by: Magagnin, Valentina, et al.
Published: (2012) -
Point process time-frequency analysis of respiratory sinus arrhythmia under altered respiration dynamics
by: Kodituwakku, Sandun, et al.
Published: (2012) -
Point process time–frequency analysis of dynamic respiratory patterns during meditation practice
by: Kodituwakku, Sandun, et al.
Published: (2014) -
Oxygen saturation and outcomes in preterm infants
by: Boost II United Kingdom Collaborative Group, et al.
Published: (2013) -
Oxygen saturation and outcomes in preterm infants.
by: Stenson, B, et al.
Published: (2013)