@inproceedings{5edc1e40a22d45649fce145867c680ef,
title = "Heart Rate Estimation from Dual Pressure Sensors of a Dialysis Machine",
abstract = "Dialysis patients often suffer from cardiovascular dis- eases, motivating the use of continuous monitoring of car- diac activity in clinical routine. Cardiac pressure pulses propagate through the vascular system and enter the ex- tracorporeal blood circuit of a dialysis machine, where the pulses are captured by pressure sensors. The cardiac pulses are obscured by the much stronger pressure pulses originating from the peristaltic blood pump. We have pre- viously shown that a cardiac signal can be extracted from the venous pressure signal. However, that method has been found to perform less well at very low cardiac pressure pulse amplitudes. In the present study, we propose a novel method which addresses this issue by using the signals from both the arterial and the venous pressure sensors. The method is compared to the previous method on clini- cal data using a photoplethysmogram as reference. The re- sults suggests that heart rate can be estimated more accu- rately from pressure signals with lower cardiac signal am- plitude when both arterial and venous pressure are used, compared to when only the venous signal is used.",
author = "Mattias Holmer and Frida Sandberg and Kristian Solem and Bo Olde and Leif S{\"o}rnmo",
year = "2015",
doi = "10.1109/CIC.2015.7408578",
language = "English",
volume = "42",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "29--32",
editor = "Allan Murray",
booktitle = "2015 Computing in Cardiology Conference (CinC)",
address = "United States",
note = "Computing in Cardiology ; Conference date: 06-09-2015",
}