Morphological landmark detection in arterial blood pressure and intracranial pressure: Preliminary procedures for intracranial pressure waveform analysis

Eun Jin Jeong, Hakseung Kim, Xiao Ke Yang, Hack Jin Lee, Dae Hyeon Park, Young Tak Kim, Dong Ju Kim

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

    2 Citations (Scopus)

    Abstract

    Intracranial hypertension of patients with traumatic brain injury (TBI) is fatal. Quick and appropriate control of intracranial pressure (ICP) are highly related to the outcomes of patients. One way to observe and/or predict the elevation of ICP is morphological analysis of ICP pulse waveforms. In order to investigate the shape of ICP pulse in a beat-by-beat fashion, the major landmarks were detected by the algorithms in this study. ICP recordings extracted from five TBI patients were used for analysis. Three landmarks, peak, trough and flat, were identified. The algorithm successfully detected landmarks in both of ABP and ICP pulses. The landmarks found by this method can be applied to examine the morphological characteristics of ICP pulse waveforms.

    Original languageEnglish
    Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479974948
    DOIs
    Publication statusPublished - 2015 Mar 30
    Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
    Duration: 2015 Jan 122015 Jan 14

    Publication series

    Name3rd International Winter Conference on Brain-Computer Interface, BCI 2015

    Other

    Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    Country/TerritoryKorea, Republic of
    CityGangwon-Do
    Period15/1/1215/1/14

    Bibliographical note

    Publisher Copyright:
    © 2015 IEEE.

    Keywords

    • Intracranial pressure
    • landmark detection
    • morphological pulse analysis

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Cognitive Neuroscience
    • Sensory Systems

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