Multiple-input nonlinear modelling of cerebral haemodynamics using spontaneous arterial blood pressure, end-tidal CO2 and heart rate measurements.
about
Uncovering brain-heart information through advanced signal and image processing.Detection of Impaired Sympathetic Cerebrovascular Control Using Functional Biomarkers Based on Principal Dynamic Mode Analysis.CrossTalk opposing view: dynamic cerebral autoregulation should be quantified using induced (rather than spontaneous) blood pressure fluctuations.Characterisation of ictal and interictal states of epilepsy: A system dynamic approach of principal dynamic modes analysis.Dynamic cerebral autoregulation is preserved during isometric handgrip and head-down tilt in healthy volunteers.
P2860
Multiple-input nonlinear modelling of cerebral haemodynamics using spontaneous arterial blood pressure, end-tidal CO2 and heart rate measurements.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Multiple-input nonlinear model ...... 2 and heart rate measurements.
@ast
Multiple-input nonlinear model ...... 2 and heart rate measurements.
@en
type
label
Multiple-input nonlinear model ...... 2 and heart rate measurements.
@ast
Multiple-input nonlinear model ...... 2 and heart rate measurements.
@en
prefLabel
Multiple-input nonlinear model ...... 2 and heart rate measurements.
@ast
Multiple-input nonlinear model ...... 2 and heart rate measurements.
@en
P2093
P2860
P356
P1476
Multiple-input nonlinear model ...... 2 and heart rate measurements.
@en
P2093
P2860
P356
10.1098/RSTA.2015.0180
P407
P577
2016-05-01T00:00:00Z