Title :
Detection of loss of cerebral vascular tone by correlation of arterial and intracranial pressure signals
Author :
Daley, Michael L. ; Pasupathy, Harikrishnan ; Griffith, Michael ; Robertson, James T. ; Leffler, Charles W.
Author_Institution :
Dept. of Electr. Eng., Memphis State Univ., TN, USA
fDate :
4/1/1995 12:00:00 AM
Abstract :
With the use of a laboratory model, arterial and intracranial pressure signals were obtained under conditions of intact regulation of cerebral blood flow and massive dilation. During elevated intracranial pressure and intact regulation, positive pressure inhalation appears to briefly occlude venous flow into the cranial sinuses during inspiration. As a result, the intracranial pressure and arterial pressure signals are not similar. In contrast, when maximal dilation causes failure of regulation of cerebral blood flow, the intracranial pressure signal is approximately proportional to the arterial pressure signal. Comparison of the cross-correlation function derived from the intracranial and arterial pressure signals to the autocorrelation function of the arterial signal reveals that the two correlation functions are: (1) different during intact regulation and (2) nearly identical during dilation induced failure of regulation of cerebral blood flow.
Keywords :
blood pressure measurement; brain; arterial/intracranial pressure signals correlation; autocorrelation function; briefly occluded venous flow; cerebral blood flow; cerebral vascular tone loss detection; cranial sinuses; cross-correlation function; elevated intracranial pressure; inspiration; intact regulation conditions; laboratory model; massive dilation; positive pressure inhalation; severe head injury; Animals; Autocorrelation; Biomedical monitoring; Blood flow; Blood pressure; Brain injuries; Cranial pressure; Laboratories; Optical fibers; Skull; Animals; Blood Pressure; Cerebrovascular Circulation; Evaluation Studies as Topic; Homeostasis; Intracranial Pressure; Least-Squares Analysis; Monitoring, Physiologic; Pseudotumor Cerebri; Signal Processing, Computer-Assisted; Swine;
Journal_Title :
Biomedical Engineering, IEEE Transactions on