• DocumentCode
    3286345
  • Title

    Blood volume based dialysis patient-identification

  • Author

    Wabel, P. ; Chamney, P. ; Krämer, M. ; Isermann, R.

  • Author_Institution
    Tech. Univ. Darmstadt, Germany
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Abstract
    In this paper a method for identifying and classifying hemodialysis patients based on the relative blood volume (RBV) is presented. A group of 42 hemodialysis patients were treated with a special ultrafiltration pattern. The response in RBV to this pattern was recorded and analysed. Using the steady state and time constant of a fitted and estimated function, the patients can clearly be separated into 4 different groups. The analysed parameters give information about the fluid-status, the hemodynamic stability and the physiologic and pathologic patient conditions
  • Keywords
    blood; curve fitting; filtration; haemodynamics; identification; osmosis; patient treatment; curve fitting; dialysis patient-identification; dynamic refilling characteristics; fluid-status; hemodialysis patients; hemodynamic stability; pathologic patient conditions; physiologic patient conditions; relative blood volume; steady state; time constant; ultrafiltration pattern; Biomedical monitoring; Blood; Curve fitting; Hemodynamics; Information analysis; Medical treatment; Patient monitoring; Pattern analysis; State estimation; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
  • Conference_Location
    Atlanta, GA
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5674-8
  • Type

    conf

  • DOI
    10.1109/IEMBS.1999.802291
  • Filename
    802291