Multiple-input nonlinear modelling of cerebral haemodynamics using spontaneous arterial blood pressure, end-tidal CO <sub>2</sub> and heart rate measurements
Vasilis Z. Marmarelis(University of Southern California), R. Zhang(Texas Health Dallas), Georgios D. Mitsis(McGill University), Dongkyu Shin(University of Southern California)
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
April 5, 2016
Cited by 24
Related Papers
Determination of the human brainstem respiratory control network and its cortical connections in vivo using functional and structural imaging
|NeuroImage|2008|171
Transfer function analysis of dynamic cerebral autoregulation: A CARNet white paper 2022 update
|Journal of Cerebral Blood Flow & Metabolism|2022|162
Graph Theoretical Characteristics of EEG-Based Functional Brain Networks in Patients With Epilepsy: The Effect of Reference Choice and Volume Conduction
|Zenodo (CERN European Organization for Nuclear Research)|2019|149
Nonlinear Modeling of the Dynamic Effects of Arterial Pressure and&lt;tex&gt;$rm CO_2$&lt;/tex&gt;Variations on Cerebral Blood Flow in Healthy Humans
|IEEE Transactions on Biomedical Engineering|2004|131
Modeling of Nonlinear Physiological Systems with Fast and Slow Dynamics. II. Application to Cerebral Autoregulation
|Annals of Biomedical Engineering|2002|101