TY - JOUR
T1 - Early Fault prediction and detection of hydrocephalus shunting system
AU - Alkharabsheh, Abdel Raman
AU - Momani, Lina
AU - Al-Nuaimy, Waleed
AU - Ababneh, Jafar "M.Ali"
AU - Alwada'n, Tariq
AU - Hawatmeh, Abeer
PY - 2013/3/16
Y1 - 2013/3/16
N2 - 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
AB - 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
U2 - 10.4236/jbise.2013.63036
DO - 10.4236/jbise.2013.63036
M3 - Article
VL - 6
SP - 280
EP - 290
JO - J. Biomedical Science and Engineering.
JF - J. Biomedical Science and Engineering.
ER -