TITLE:
Early fault prediction and detection of hydrocephalus shunting system
AUTHORS:
Abdel Rahman Alkharabsheh, Lina Momani, Waleed Al-Nuaimy, Jafar Ababneh, Tariq Alwada’n, Abeer Hawatmeh
KEYWORDS:
Hydrocephalus Shunts; Shunt Malfunctions; Faults Detection
JOURNAL NAME:
Journal of Biomedical Science and Engineering,
Vol.6 No.3,
March
25,
2013
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.