• DocumentCode
    2099501
  • Title

    Single pulse analysis of intracranial pressure for a hydrocephalus implant

  • Author

    Elixmann, I.M. ; Hansinger, J. ; Goffin, C. ; Antes, S. ; Radermacher, Klaus ; Leonhardt, Steffen

  • Author_Institution
    Helmholtz Inst. for Biomed. Eng., RWTH Aachen Univ., Aachen, Germany
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    3939
  • Lastpage
    3942
  • Abstract
    The intracranial pressure (ICP) waveform contains important diagnostic information. Changes in ICP are associated with changes of the pulse waveform. This change has explicitly been observed in 13 infusion tests by analyzing 100 Hz ICP data. An algorithm is proposed which automatically extracts the pulse waves and categorizes them into predefined patterns. A developed algorithm determined 88%±8% (mean ±SD) of all classified pulse waves correctly on predefined patterns. This algorithm has low computational cost and is independent of a pressure drift in the sensor by using only the relationship between special waveform characteristics. Hence, it could be implemented on a microcontroller of a future electromechanic hydrocephalus shunt system to control the drainage of cerebrospinal fluid (CSF).
  • Keywords
    brain; medical signal processing; microcontrollers; pattern classification; pressure measurement; prosthetics; ICP data; cerebrospinal fluid drainage control; electromechanic hydrocephalus shunt system; frequency 100 Hz; hydrocephalus implant; infusion tests; intracranial pressure waveform single pulse analysis; microcontroller; pressure drift; pulse wave extraction; Algorithm design and analysis; Classification algorithms; Fluids; Heuristic algorithms; Implants; Iterative closest point algorithm; Microcontrollers; Algorithms; Arterial Pressure; Electrodes, Implanted; Humans; Hydrocephalus; Intracranial Pressure; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Wavelet Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346828
  • Filename
    6346828