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A Multiscale Intracranial Pressure Signal Simulator


Wadehn, Federico; Mack, David J; Keller, Emanuela; Heldt, Thomas (2018). A Multiscale Intracranial Pressure Signal Simulator. In: The 45th Computing in Cardiology conference (CinC), Maastricht, Netherlands, 23 September 2018 - 26 September 2018.

Abstract

Intracranial pressure (ICP) is a key vital sign whose temporal behavior across multiple time scales is in- creasingly being studied, e.g., to assess brain compliance or to estimate cerebral perfusion. In this paper we present a multiscale ICP signal simulator that acts on three time scales: Long-term ICP trends (minutes to hours), respiration-induced changes in ICP and single ICP pulses. The long-term trends are based on a mechanistic ICP model, whereas the respiration-induced and intrabeat changes are represented through phenomenological models. The latter capture waveform properties extracted from real patients in our ICP database as well as waveform features described in the literature. The presented ICP simulator could be used to evaluate ICP signal analysis algorithms and as a mock signal for calibrating and testing patient monitors.

Abstract

Intracranial pressure (ICP) is a key vital sign whose temporal behavior across multiple time scales is in- creasingly being studied, e.g., to assess brain compliance or to estimate cerebral perfusion. In this paper we present a multiscale ICP signal simulator that acts on three time scales: Long-term ICP trends (minutes to hours), respiration-induced changes in ICP and single ICP pulses. The long-term trends are based on a mechanistic ICP model, whereas the respiration-induced and intrabeat changes are represented through phenomenological models. The latter capture waveform properties extracted from real patients in our ICP database as well as waveform features described in the literature. The presented ICP simulator could be used to evaluate ICP signal analysis algorithms and as a mock signal for calibrating and testing patient monitors.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Neurosurgery
Dewey Decimal Classification:610 Medicine & health
Language:English
Event End Date:26 September 2018
Deposited On:18 Feb 2019 15:17
Last Modified:30 Jan 2020 14:25
Publisher:Computing in Cardiology papers
Number:45
OA Status:Hybrid
Publisher DOI:https://doi.org/10.22489/CinC.2018.010
Official URL:http://www.cinc.org/archives/2018/

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