Continuous estimates of index of intracranial compliance derived from intracranial pressure recordings

Richard L. Pasley, Charles W. Leffler, Shelly Timmons, Gregory Stidham, Michael L. Daley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this study is to explore the development of a method to derive continuous estimates of an index of intracranial compliance from recordings of intracranial pressure (ICP). The proposed index, percent change of compliance per mmHg of ICP (%CC/mmHg), is based on two assumptions: 1) the pressure-volume characteristic of the craniospinal sac can be linearized for small perturbations about an equilibrium; and 2) during a brief interval in which these perturbations occur the pathophysiologic state of the craniospinal sac does not significantly change. Values of %CC/mmHg were derived from laboratory recordings of ICP obtained from four bovine preparations and found to be strongly inversely correlated with ICP with all r-values greater than 0.97. To date three clinical cases also demonstrate the same inverse relationship between %CC/mmHg and ICP. This index may be of value as an independent check on the D.C. drift of the transducer and in patient management during long term monitoring.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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