Early Fault prediction and detection of hydrocephalus shunting system

Abdel Raman Alkharabsheh, Lina Momani, Waleed Al-Nuaimy, Jafar "M.Ali" Ababneh, Tariq Alwada'n, Abeer Hawatmeh

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Trends of various intracranial pressure (ICP) parameters for high pressure hydrocephalus patients are utilized to detect various shunt faults in their early stages, as well as, to monitor the effect of such faults on shunt performance. A method was proposed to predict the time required for ICP to be abnormal and for the valve to reach full blockage condition. Furthermore, an auto valve schedule updating method is proposed and used to temporarily deal with detected faults until the patient is checked up by his/her physician. The proposed algorithms were evaluated using numerical simulation
    Original languageUndefined
    Pages (from-to)280-290
    Number of pages10
    JournalJ. Biomedical Science and Engineering.
    Volume6
    DOIs
    Publication statusPublished - 16 Mar 2013

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