Title :
Blood volume based dialysis patient-identification
Author :
Wabel, P. ; Chamney, P. ; Krämer, M. ; Isermann, R.
Author_Institution :
Tech. Univ. Darmstadt, Germany
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802291
