Title :
Precursors to rapid elevations in intracranial pressure
Author :
McNames, James ; Crespo, Cristina ; Aboy, Mateo ; Ellenby, Miles ; Lai, Susanna ; Sclabassi, Robert ; Goldstein, Brahm
Author_Institution :
Biomed. Signal Process. Lab., Portland State Univ., OR, USA
Abstract :
Intracranial pressure (ICP) monitoring and management have substantially improved the outcome of patients with traumatic brain injury (TBI). However, rapid elevations in ICP remain a significant problem as they may lead to secondary brain injury and worse outcome due to cerebral ischemia. Current therapy is targeted towards treating rapid ICP elevations after they occur. Ideally, anticipatory treatment to obviate any elevation in ICP could occur if reliable precursors to ICP elevation were determined. In this paper, we report evidence for a physiologic transition zone prior to rapid elevations in ICP. We found that in thirty-three episodes of ICP elevation recorded from eleven patients, there was a statistically consistent decrease in the cardiac component of the ICP signal and the coefficient of correlation between the ICP trend and the pulse amplitude. We conclude that specific ICP signal metrics may serve as precursors that characterize the transition zone prior to a rapid elevation and may enable prediction of these elevations up to thirty seconds ahead.
Keywords :
biomechanics; brain; medical signal processing; patient monitoring; pressure measurement; time series; 30 s; anticipatory treatment; autoregulation; cardiac component; cerebral ischemia; cerebral perfusion pressure; correlation coefficient; current therapy; elevations prediction; head injury; intracranial hypertension; intracranial pressure monitoring; physiologic transition zone; pulse amplitude; secondary brain injury; signal trend; statistically consistent decrease; time series prediction; traumatic brain injury; Biomedical monitoring; Biomedical signal processing; Blood; Brain injuries; Cranial pressure; Diseases; Laboratories; Medical treatment; Patient monitoring; Signal analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1019715