Early fault prediction and detection of hydrocephalus shunting system

作     者：Abdel Rahman Alkharabsheh Lina Momani Waleed Al-Nuaimy Jafar Ababneh Tariq Alwada’n Abeer Hawatmeh 

作者机构：Department of Electrical Engineering University of Liverpool Liverpool UK Faculty of Science and Information Technology The World Islamic Sciences and Education Technology Amman Jordan Mechatronics Engineering Department Faculty of Engineering and Technology Al-Balqa’ Applied University Amman Jordan 

出 版 物：《Journal of Biomedical Science and Engineering》 (生物医学工程（英文）)

年 卷 期：2013年第6卷第3期

页      面：280-290页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Hydrocephalus Shunts Shunt Malfunctions Faults Detection 

摘      要：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.