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.
Highlights
Hydrocephalus is a neurological disorder whereby the cerebro-spinal fluid (CSF) surrounding the brain builds up, causing severe pain and swelling of the head [1]
A method was proposed to predict the time required for intracranial pressure (ICP) to be abnormal and for the valve to reach full blockage condition
Shunts were used for decades to treat hydrocephalus patients, where mechanical valves were the popular type for draining the CSF
Summary
Hydrocephalus is a neurological disorder whereby the cerebro-spinal fluid (CSF) surrounding the brain builds up, causing severe pain and swelling of the head [1]. This is prevalent in infants, and is becoming more common. Almost the same treatment used for all hydrocephalus patients without taking into consideration patient’s personal factors (such as medical history, sleep patterns and lifestyle) and it cannot handle real-time patient satisfaction and emergency situations. This makes the conventional mechanical shunt satisfying less of 50% of its patients. After long history with such valves, it is found that, it is the proper time to use electronic valves
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