DocumentCode :
1760018
Title :
Accurate Dialysis Dose Evaluation and Extrapolation Algorithms During Online Optical Dialysis Monitoring
Author :
Fridolin, Ivo ; Karai, D. ; Kostin, S. ; Ubar, Raimund
Author_Institution :
Dept. of Biomed. Eng., Tallinn Univ. of Technol., Tallinn, Estonia
Volume :
60
Issue :
5
fYear :
2013
fDate :
41395
Firstpage :
1371
Lastpage :
1377
Abstract :
The aim of this study was to propose an improved method for accurate dialysis dose evaluation and extrapolation by means of Kt/V from online UV-absorbance measurements for real time and continuous treatment monitoring. The study included a total of 24 treatments from ten uremic patients, seven of whom were male and three females. All patients were on chronic thrice-weekly hemodialysis therapy. The study included both stable and unstable treatments. A known signal processing algorithm, Levenberg-Marquardt, and the newly developed SMART were utilized for the removal of disturbances not relevant for dialysis dose evaluation. Finally, the results were compared with the Kt/V values based on the blood samples. The new data processing algorithm, SMART, removes disturbances, helps estimate the online Kt/V with significant precision increase and without any time delay, and more effectively predicts the end Kt/V for the treatment than the known algorithms.
Keywords :
biomedical optical imaging; blood; diseases; extrapolation; medical signal processing; patient monitoring; patient treatment; Kt-V; Levenberg-Marquardt algorithm; SMART; accurate dialysis dose evaluation algorithm; accurate dialysis dose extrapolation algorithms; chronic thrice-weekly hemodialysis therapy; continuous treatment monitoring; data processing algorithm; online UV absorbance measurements; online optical dialysis monitoring; real time treatment monitoring; signal processing algorithm; uremic patients; Blood; Extrapolation; Fitting; Monitoring; Noise; Prediction algorithms; Signal processing algorithms; Biomedical engineering; biomedical measurements; medical treatment; patient monitoring; Aged; Algorithms; Biomedical Engineering; Female; Humans; Male; Middle Aged; Monitoring, Physiologic; Renal Dialysis; Signal Processing, Computer-Assisted; Spectrophotometry, Ultraviolet; Urea; Uremia;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2012.2234458
Filename :
6384715
Link To Document :
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