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

Holmer, Mattias (author): Lund University,Lunds universitet,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,Baxter Medical AB

Martínez, Juan Pablo (author): University of Zaragoza,CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)

Gil, Eduardo (author): University of Zaragoza,CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)

Sandberg, Frida (author): Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH

Sörnmo, Leif (author): Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH

(creator_code:org_t)

Elsevier BV, 2018
2018
English 7 s.
In: Medical Engineering and Physics. - : Elsevier BV. - 1350-4533. ; 51, s. 49-55

Related links:: http://dx.doi.org/10...; show more...; https://zaguan.uniza...; https://lup.lub.lu.s...; https://doi.org/10.1...; show less...

Abstract Subject headings

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.

MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk apparatteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Equipment Engineering (hsv//eng)

By the author/editor: Holmer, Mattias; Martínez, Juan P ...; Gil, Eduardo; Sandberg, Frida; Olde, Bo; Sörnmo, Leif

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Cardiac and Card ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Medical Engineer ...; and Medical Equipmen ...

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