Presentation + Paper
14 March 2023 Non-invasive estimation of intracranial pressure using near-infrared spectroscopy
Author Affiliations +
Abstract
Intracranial pressure (ICP) measurements help monitor patient status following cerebral injury, and currently require implantation of an invasive pressure probe. The potential complications associated with this implantation have restricted the application of ICP measurements in less severe conditions. We propose a non-invasive alternative that derives features from the cardiac waveforms present in near-infrared spectroscopy (NIRS) measurements and inputs these features into a decision tree regressor to estimate ICP. We evaluated this method in nine subjects already fitted with invasive ICP sensors. The non-invasive nature of NIRS instrumentation eases the clinical adoption of this ICP estimation approach.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William B. Scammon, Filip Relander, Syeda Tabassum, Deepshikha Acharya, Alexander Ruesch, Jason Yang, Michael Wolf, Jaskaran Rakkar, Robert S. B. Clark, Michael M. McDowell, and Jana M. Kainerstorfer "Non-invasive estimation of intracranial pressure using near-infrared spectroscopy", Proc. SPIE 12364, Clinical and Translational Neurophotonics 2023, 123640J (14 March 2023); https://doi.org/10.1117/12.2652974
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KEYWORDS
Near infrared spectroscopy

Electrocardiography

Intracranial pressure

Machine learning

Windows

Heart

Medicine

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