Digital Processing of Intracranial Pressure Signal Acquired by Means of a Strain Gauge Sensor

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 91)

Abstract

The aim of this work is to exploit an automatic system to make it easier, more quickly and costless the evaluation of Intracranial pressure (ICP) signal in cerebral pathology affected patients. The authors have developed a tool able to filter, analyze and extract features from ICP signal or recording. For the conducted study we have used the ICP MicroSensor, a catheter with a micro miniature silicon strain gauge type sensor mounted at one end and an electrical connector at the other end. We studied 16 continuous pressure recordings of different patients who underwent an infusion test. The digital signal processing (DSP) performed consists in: signal filtering, peaks identification, location of single pressure waves and extraction of features from each single wave. The outflow of the elaboration is composed by the 14 parameters trends which allows an easy analysis of intracranial pressure. It can be intended as a valid, consistent, reliable and easy-computing tool that might be used by the medical team in all those cases that involve brain damages or diseases.

Keywords

Intracranial Pressure Fundamental Period Electrical Connector Strain Gauge Sensor Lumbar Subarachnoid Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Czosnyka M, Pickard JD (2004) Monitoring and interpretation of intracranial pressure. J Neurol Neurosurg Psychiatr 75:813–821CrossRefGoogle Scholar
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    Codman MicroSensor Skull Bolt Kit (2003)Google Scholar
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    Calisto A, Bramanti A, Galeano M, Angileri F, Campobello G, Serrano S, Azzerboni B (2009) A preliminary study for investigating idiopatic normal pressure hydrocephalus by means of statistical parameters classification of intracranial pressure recordings. In: 31st annual international IEEE EMBS conference of the IEEE engineering in medicine and biology societyGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • A. Calisto
    • 1
  • A. Bramanti
    • 1
  • M. Galeano
    • 1
  • S. Serrano
    • 1
  1. 1.Department of Matter Physics and Electronic EngineeringUniversity of MessinaMessinaItaly

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