Estimation of Respiratory Information from the Built-In Pressure Sensors of a Dialysis Machine

Summary, in English

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.

• Author: Frida Sandberg; Mattias Holmer; Bo Olde; Kristian Solem
• Editor: Alan Murray
• Department/s: Department of Biomedical Engineering
• Publishing year: 2014
• Language: English
• Pages: 853-856
• Publication/Series: [Host publication title missing]
• Volume: 41
• Links: http://www.cinc.org/archives/2014/pdf/0853.pdf
• Document type: Conference paper
• Publisher: Computing in Cardiology
• Topic: Medical Engineering
• Conference name: Computing in Cardiology 2014
• Conference date: 2014-09-07 - 2014-09-10
• Conference place: Cambridge, Massachusetts, United States
• Status: Published
• ISBN/ISSN/Other: ISSN: 0276-6574