title: Noninvasive intracranial pressure assessment based on a data-mining approach using a nonlinear mapping function.
abstract: The current gold standard to determine intracranial pressure (ICP) involves an invasive procedure for direct access to the intracranial compartment. The risks associated with this invasive procedure include intracerebral hemorrhage, infection, and discomfort. We previously proposed an innovative data-mining framework of noninvasive ICP (NICP) assessment. The performance of the proposed framework relies on designing a good mapping function. We attempt to achieve performance gain by adopting various linear and nonlinear mapping functions. Our results demonstrate that a nonlinear mapping function based on the kernel spectral regression technique significantly improves the performance of the proposed data-mining framework for NICP assessment in comparison to other linear mapping functions.
authors.affiliation: Department of Neurosurgery, David Geffen School of Medicine at University of California, Los Angeles, CA 90095-7065, USA. visionsk@gmail.com
authors.forename: Sunghan
authors.initials: S
authors.lastname: Kim
authors.forename: Fabien
authors.initials: F
authors.lastname: Scalzo
authors.forename: Marvin
authors.initials: M
authors.lastname: Bergsneider
authors.forename: Paul
authors.initials: P
authors.lastname: Vespa
authors.forename: Neil
authors.initials: N
authors.lastname: Martin
authors.forename: Xiao
authors.initials: X
authors.lastname: Hu
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002560:Cerebrovascular Circulation; D006259:Craniocerebral Trauma / Q000503:physiopathology*; D057225:Data Mining / Q000379:methods*; D004562:Electrocardiography; D005260:Female; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D007427:Intracranial Pressure / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D020768:Middle Cerebral Artery / Q000502:physiology*; D017711:Nonlinear Dynamics; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted