On-line monitoring of dialysis adequacy using DiaSens optical sensor: Accurate Kt/V estimation by smoothing algorithms

Author

Talisainen, A. ; Kostin, S. ; Karai, D. ; Fridolin, I. ; Ubar, R.

Author_Institution

Dept. of Biomed. Eng., TTU, Tallinn, Estonia

fYear

2010

fDate

4-6 Oct. 2010

Firstpage

273

Lastpage

276

Abstract

Objective: develop signal processing algorithm for the removal of disturbances not related to treatment course and compare with available clinical data. Methods: The study included 20 treatments from 19 uremic patients, 12 males and 4 females. Treatment instability was assessed with instability coefficient. Finally, Kt/V values obtained from optical signals were compared with laboratory results. Results: The value (mean ± SD) of instability coefficient for non-processed data was 324,75 ± 39,78, for AVRG algorithm 9,73 ± 4,01 and for SMART 12,06 ± 7,06. Deviation from available clinical data (RMSE) for raw data was 1,42 ± 0,20, AVRG 0,07 ± 0,03 and 0,07 ± 0,04 for SMART. Conclusion: Data processing algorithms show good results in removal of disturbances with significant precision increase.

Keywords

biomedical measurement; biosensors; diseases; haemodynamics; medical signal processing; optical sensors; optical tomography; patient monitoring; patient treatment; smoothing methods; telemedicine; Diasens optical sensor; Kt-V estimation; haemodialysis; online dialysis monitoring; signal processing algorithm; smoothing algorithms; treatment instability; uremic patients; Blood; Kidney; Laboratories; Monitoring; Optical sensors; Signal processing algorithms; Tuning; average slope; dialysis adequacy; dialysis monitoring; optical sensor; slope frequency; urea Kt/V;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Conference (BEC), 2010 12th Biennial Baltic

Conference_Location

Tallinn

ISSN

1736-3705

Print_ISBN

978-1-4244-7356-4

Electronic_ISBN

1736-3705

Type

conf

DOI

10.1109/BEC.2010.5630164

Filename

5630164