Estimation of Respiratory Information from the Built-In Pressure Sensors of a Dialysis Machine
Sandberg, Frida; Holmer, Mattias; Olde, Bo; Solem, Kristian (2014). Estimation of Respiratory Information from the Built-In Pressure Sensors of a Dialysis Machine. Murray, Alan (Ed.). [Host publication title missing], 41,, 853 - 856. Computing in Cardiology 2014. Cambridge, Massachusetts, United States: Computing in Cardiology
Conference Proceeding/Paper
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Published
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English
Authors:
Sandberg, Frida
;
Holmer, Mattias
;
Olde, Bo
;
Solem, Kristian
Department:
Department of Biomedical Engineering
Abstract:
The purpose of the present study is to determine the feasibility of estimating respiratory information from the built-in pressure sensors of a dialysis machine. The study database consists of simultaneous recordings of pressure signals and capnographic signals from 6 patients during 7 hemodialysis treatment sessions. Respiration rates were estimated using respiratory induced variations in the beat- to-beat interval series of the cardiac component of the pressure signal and respiratory induced baseline varia- tions in the pressure signal, respectively. The estimated respiration rates were compared to a reference respira- tion rate determined from the capnograhpic signal. The root-mean-square error of the estimated respiration rate from the baseline variations of the pressure signal was 2.10 breaths/min; the corresponding error of the estimated res- piration rate from the beat-to-beat interval series of the cardiac component was 4.95 breaths/min. The results sug- gest that it is possible to estimate respiratory information from the pressure sensors.
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