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Koyrakh, L. (2008) Data compression for implantable medical devices. Computers in Cardiology, 35.
has been cited by the following article:
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.
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