Extracting a Cardiac Signal From the Extracorporeal Pressure Sensors of a Hemodialysis Machine

Research output: Contribution to journalArticle

Abstract

Although patients undergoing hemodialysis treatment often suffer from cardiovascular disease, monitoring of cardiac rhythm is not performed on a routine basis. Without requiring any extra sensor, this study proposes a method for extracting a cardiac signal from the built-in extracorporeal venous pressure sensor of the hemodialysis machine. The extraction is challenged by the fact that the cardiac component is much weaker than the pressure component caused by the peristaltic blood pump. To further complicate the extraction problem, the cardiac component is difficult to separate when the pump and heart rates coincide. The proposed method estimates a cardiac signal by subtracting an iteratively refined blood pump model signal from the signal measured at the extracorporeal venous pressure sensor. The method was developed based on simulated pressure signals, and evaluated on clinical pressure signals acquired during hemodialysis treatment. The heart rate estimated from the clinical pressure signal was compared to that derived from a photoplethysmographic reference signal, resulting in a difference of 0.07 +/- 0.84 beats/min. The accuracy of the heartbeat occurrence times was studied for different strengths of the cardiac component, using both clinical and simulated signals. The results suggest that the accuracy is sufficient for analysis of heart rate and certain arrhythmias.

Details

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Medical Engineering

Keywords

  • Blood access pressure simulator, cardiac pressure signal, extracorporeal, pressure sensors, fistula, heart rate, hemodialysis
Original languageEnglish
Pages (from-to)1305-1315
JournalIEEE Transactions on Biomedical Engineering
Volume62
Issue number5
Publication statusPublished - 2015
Publication categoryResearch
Peer-reviewedYes

Related research output

Holmer, M., 2017 May 19, 1 ed. Lund: Department of Biomedical Engineering, Lund university. 187 p.

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