Share This Article:

Early fault prediction and detection of hydrocephalus shunting system

Abstract Full-Text HTML XML Download Download as PDF (Size:942KB) PP. 280-290
DOI: 10.4236/jbise.2013.63036    4,296 Downloads   5,965 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Alkharabsheh, A. , Momani, L. , Al-Nuaimy, W. , Ababneh, J. , Alwada’n, T. and Hawatmeh, A. (2013) Early fault prediction and detection of hydrocephalus shunting system. Journal of Biomedical Science and Engineering, 6, 280-290. doi: 10.4236/jbise.2013.63036.

References

[1] Association for Spina Bifida Hydrocephalus (2009) Hydrocephalus. http://www.asbah.org/.
[2] Albright, A., Haines, S. and Taylor, F. (1988) Function of parietal and frontal shunts in childhood hydrocephalus. Journal of Neurosurgery, 69, 883- 886. doi:10.3171/jns.1988.69.6.0883
[3] Piatt, J. (1995) Cerebrospinal fluid shunt failure: Late is different from early. Pediatric Neurosurgery, 23, 133-139. doi:10.1159/000120950
[4] Piatt, J. and Carlson, C. (1993) A search for determinants of cerebrospinal fluid shunt survival: Retrospective analysis of a 14-year institutional experience. Pediatric Neurosurgery, 19, 233-241. doi:10.1159/000120738
[5] Villavicencio, A., Leveque, J., McGirt, M., Hopkins, J., Fuchs, H. and George, T. (2003) Comparison of revision rates following endoscopically versus nonendoscopically placed ventricular shunt catheters. Surgical Neurology, 59, 375-379. doi:10.1016/S0090-3019(03)00070-3
[6] Koyrakh, L. (2008) Data compression for implantable medical devices. Computers in Cardiology, 35.
[7] Momani, L. (2010) Intelligent system for personalised management and treatment of hydrocephalus. Ph.D. Thesis, University of Liverpool, Liverpool.
[8] Momani, L., Alkharabsheh, A., Al-Zuibi, N. and Al-Nuaimy, W. (2009) Instantiating a mechatronic valve schedule for a hydrocephalus shunt. Conference Proceedings: IEEE Engineering in Medicine and Biology Society, Minneapolis, 3-6 September, 2009, 749-752.
[9] Aoki, N. (1990) Lumboperitoneal shunt: Clinical applications, complications and comparison with venticuloperitoneal shunt. Neurosurgery, 26, 998-1004. doi:10.1227/00006123-199006000-00013

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.