| Autor: |
Pielawa, Lukas, Hein, Andreas, Wester, Maarten, Simonis, Frank |
| Zdroj: |
2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS); 1/ 1/2012, p1-6, 6p |
| Abstrakt: |
Conventional dialysis therapy of patients with end-stage renal disease is time-consuming and its discontinuous nature induces physiological stress to the patient. Therefore new emerging approaches facilitate prolonged treatment by using portable devices in home-settings. Such unsupervised treatment calls for continuous automated monitoring of various physiological parameters. This paper highlights the challenges of autonomous personalized renal treatment and presents a leap towards context-aware monitoring in data streams by a physiological model-based approach. The algorithmic principle is employed to propagate urea concentration, which is measured to assess dialysis efficacy. Simulation results validate the algorithm for the application in a mobile dialysis therapy currently under development. The presented method enables the estimation of medically significant, but technically inaccessible physiological parameters from data stream propagation. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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