Advanced

Heart Rate Estimation from Dual Pressure Sensors of a Dialysis Machine

Holmer, Mattias LU ; Sandberg, Frida LU ; Solem, Kristian; Olde, Bo and Sörnmo, Leif LU (2015) Computing in Cardiology In 2015 Computing in Cardiology Conference (CinC) 42. p.29-32
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2015 Computing in Cardiology Conference (CinC)
editor
Murray, Allan
volume
42
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Computing in Cardiology
external identifiers
  • Scopus:84964033736
ISSN
2325-8861
DOI
10.1109/CIC.2015.7408578
language
English
LU publication?
yes
id
5edc1e40-a22d-4564-9fce-145867c680ef (old id 8571390)
alternative location
http://www.cinc.org/archives/2015/pdf/0029.pdf
date added to LUP
2016-01-29 11:51:45
date last changed
2016-10-13 04:26:04
@misc{5edc1e40-a22d-4564-9fce-145867c680ef,
  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       = {Holmer, Mattias and Sandberg, Frida and Solem, Kristian and Olde, Bo and Sörnmo, Leif},
  editor       = {Murray, Allan},
  issn         = {2325-8861},
  language     = {eng},
  pages        = {29--32},
  publisher    = {ARRAY(0x942cb50)},
  series       = {2015 Computing in Cardiology Conference (CinC) },
  title        = {Heart Rate Estimation from Dual Pressure Sensors of a Dialysis Machine},
  url          = {http://dx.doi.org/10.1109/CIC.2015.7408578},
  volume       = {42},
  year         = {2015},
}