Advanced

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

Holmer, Mattias LU ; Sandberg, Frida LU ; Solem, Kristian LU ; Grigonyte, Egle LU ; Olde, Bo and Sörnmo, Leif LU (2015) In IEEE Transactions on Biomedical Engineering 62(5). p.1305-1315
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Blood access pressure simulator, cardiac pressure signal, extracorporeal, pressure sensors, fistula, heart rate, hemodialysis
in
IEEE Transactions on Biomedical Engineering
volume
62
issue
5
pages
1305 - 1315
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000353513400008
  • scopus:84928628544
ISSN
0018-9294
DOI
10.1109/TBME.2014.2385964
language
English
LU publication?
yes
id
5fbfb5c3-df37-4acf-9030-8d3462d74b3b (old id 5386093)
date added to LUP
2015-05-20 11:26:44
date last changed
2017-10-01 04:24:35
@article{5fbfb5c3-df37-4acf-9030-8d3462d74b3b,
  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.},
  author       = {Holmer, Mattias and Sandberg, Frida and Solem, Kristian and Grigonyte, Egle and Olde, Bo and Sörnmo, Leif},
  issn         = {0018-9294},
  keyword      = {Blood access pressure simulator,cardiac pressure signal,extracorporeal,pressure sensors,fistula,heart rate,hemodialysis},
  language     = {eng},
  number       = {5},
  pages        = {1305--1315},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Biomedical Engineering},
  title        = {Extracting a Cardiac Signal From the Extracorporeal Pressure Sensors of a Hemodialysis Machine},
  url          = {http://dx.doi.org/10.1109/TBME.2014.2385964},
  volume       = {62},
  year         = {2015},
}