Advanced

Detection of ventricular premature beats based on the pressure signals of a hemodialysis machine

Holmer, Mattias LU ; Martínez, Juan Pablo; Gil, Eduardo; Sandberg, Frida LU ; Olde, Bo and Sörnmo, Leif LU (2018) In Medical Engineering and Physics 51. p.49-55
Abstract

Monitoring of ventricular premature beats (VPBs), being abundant in hemodialysis patients, can provide information on cardiovascular instability and electrolyte imbalance. In this paper, we describe a method for VPB detection which explores the signals acquired from the arterial and the venous pressure sensors, located in the extracorporeal blood circuit of a hemodialysis machine. The pressure signals are mainly composed of a pump component and a cardiac component. The cardiac component, severely overshadowed by the pump component, is estimated from the pressure signals using an earlier described iterative method. A set of simple features is extracted, and linear discriminant analysis is performed to classify beats as either normal or... (More)

Monitoring of ventricular premature beats (VPBs), being abundant in hemodialysis patients, can provide information on cardiovascular instability and electrolyte imbalance. In this paper, we describe a method for VPB detection which explores the signals acquired from the arterial and the venous pressure sensors, located in the extracorporeal blood circuit of a hemodialysis machine. The pressure signals are mainly composed of a pump component and a cardiac component. The cardiac component, severely overshadowed by the pump component, is estimated from the pressure signals using an earlier described iterative method. A set of simple features is extracted, and linear discriminant analysis is performed to classify beats as either normal or ventricular premature. Performance is evaluated on signals from nine hemodialysis treatments, using leave-one-out crossvalidation. The simultaneously recorded and annotated photoplethysmographic signal serves as the reference signal, with a total of 149,686 normal beats and 3574 VPBs. The results show that VPBs can be reliably detected, quantified by a Youden's J statistic of 0.9, for average cardiac pulse pressures exceeding 1 mmHg; for lower pressures, the J statistic drops to 0.55. It is concluded that the cardiac pressure signal is suitable for VPB detection, provided that the average cardiac pulse pressure exceeds 1 mmHg.

(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
Cardiac pressure signal, Extracorporeal pressure sensors, Fistula, Hemodialysis, Linear discriminant analysis, Ventricular premature beats
in
Medical Engineering and Physics
volume
51
pages
7 pages
publisher
Elsevier
external identifiers
  • scopus:85040572432
ISSN
1350-4533
DOI
10.1016/j.medengphy.2017.11.004
language
English
LU publication?
yes
id
4de43c3d-fd53-4974-b5f7-82f423a24735
date added to LUP
2018-01-30 14:17:41
date last changed
2018-01-31 03:00:03
@article{4de43c3d-fd53-4974-b5f7-82f423a24735,
  abstract     = {<p>Monitoring of ventricular premature beats (VPBs), being abundant in hemodialysis patients, can provide information on cardiovascular instability and electrolyte imbalance. In this paper, we describe a method for VPB detection which explores the signals acquired from the arterial and the venous pressure sensors, located in the extracorporeal blood circuit of a hemodialysis machine. The pressure signals are mainly composed of a pump component and a cardiac component. The cardiac component, severely overshadowed by the pump component, is estimated from the pressure signals using an earlier described iterative method. A set of simple features is extracted, and linear discriminant analysis is performed to classify beats as either normal or ventricular premature. Performance is evaluated on signals from nine hemodialysis treatments, using leave-one-out crossvalidation. The simultaneously recorded and annotated photoplethysmographic signal serves as the reference signal, with a total of 149,686 normal beats and 3574 VPBs. The results show that VPBs can be reliably detected, quantified by a Youden's J statistic of 0.9, for average cardiac pulse pressures exceeding 1 mmHg; for lower pressures, the J statistic drops to 0.55. It is concluded that the cardiac pressure signal is suitable for VPB detection, provided that the average cardiac pulse pressure exceeds 1 mmHg.</p>},
  author       = {Holmer, Mattias and Martínez, Juan Pablo and Gil, Eduardo and Sandberg, Frida and Olde, Bo and Sörnmo, Leif},
  issn         = {1350-4533},
  keyword      = {Cardiac pressure signal,Extracorporeal pressure sensors,Fistula,Hemodialysis,Linear discriminant analysis,Ventricular premature beats},
  language     = {eng},
  month        = {01},
  pages        = {49--55},
  publisher    = {Elsevier},
  series       = {Medical Engineering and Physics},
  title        = {Detection of ventricular premature beats based on the pressure signals of a hemodialysis machine},
  url          = {http://dx.doi.org/10.1016/j.medengphy.2017.11.004},
  volume       = {51},
  year         = {2018},
}