Multivariate Autoregressive Modeling Combined With Transcephalic Electrical-impedance - Method to Relate Neonatal Systemic Circulation and Respiration to Cerebral-circulation
Research output: Contribution to journal › Article › Scientific › peer-review
|Number of pages||6|
|Journal||Medical & Biological Engineering & Computing|
|Publication status||Published - May 1995|
|Publication type||A1 Journal article-refereed|
We studied the pulsatile component of cerebral circulation with transcephalic electrical impedance (Delta Z) in six preterm newborns, three of whom had severe cerebral bleeding, peri-intraventricular haemorrhage (PIVH). The transcephalic electrical impedance Delta Z signal, EGG, arterial blood pressure, (aBP) and respirogram were recorded on analogue magnetic tape for 30 min. Artefact-free stationary segments (lasting for 2 min) of the four signals were digitised. A digital multivariate autoregressive (MAR) model was used to study frequency-specific variability in the signals and to quantify interrelations between the variabilities of Delta Z, HR, aBP and respiratory signals. MAR modelling describes a system where all the signals simultaneously explain each other. The inherent variability of Delta Z was lower and the influences of respiration and aBP on Delta Z significantly greater in infants with severe PIVH than in controls. These changes were observed at high frequencies corresponding to respiration and heart rate. This may be interpreted as a marker of pressure passivism in the cerebral circulation following PIVH. We conclude that in preterm babies the application of MAR modelling, together with transcephalic impedance, may be a new, helpful and quantitative method for the study of simultaneous interrelations between variables of cerebral and systemic circulations and respiration.
- CEREBROVASCULAR CIRCULATION, MULTIVARIATE AUTOREGRESSIVE MODELING, NEWBORN INFANT, PERIINTRAVENTRICULAR HEMORRHAGE, BLOOD-FLOW VELOCITY, INTRAVENTRICULAR HEMORRHAGE, NEWBORN-INFANT, PRETERM INFANTS, ULTRASOUND, IMPAIRMENT, TOMOGRAPHY