Title
Beat-to-beat cardiac output inference using heart sounds.
Abstract
Cardiac output (CO) change is the primary compensatory mechanism that responds to oxygenation demand. Its continuous monitoring has great potential for the diagnosis and management of cardiovascular diseases, both in hospital as well as in ambulatory settings. However, CO measurements are currently limited to hospital settings only. In this paper, we present an extension of the model proposed by Finkelstein for beat-to-beat CO assessment. We use a nonlinear model consisting of a two-layer feed-forward artificial neural network. In addition to demographic (body surface area and age) and physiological parameters (HR), surrogates of contractility, afterload and mean arterial pressure based on systolic time intervals (STIs), estimated from echocardiography and heart sounds are used as inputs to our models. The results showed that the proposed models--with echocardiography as reference--produce better estimations of stroke volume/CO than the Finkelstein model (12.83 ± 10.66 ml vs 7.23 ± 6.6 ml), as well as higher correlation (0.46 vs 0.82).
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6091369
EMBC
Keywords
Field
DocType
nonlinear model,diseases,oxygenation,contractility,biomedical measurement,inference mechanisms,two-layer feed-forward artificial neural network,patient monitoring,cardiovascular diseases,heart sounds,systolic time intervals,medical signal processing,finkelstein model,cardiovascular system,feedforward neural nets,beat-to-beat cardiac output inference,mean arterial pressure,echocardiography,stroke volume,mathematical model,correlation,cardiac output,feed forward,artificial neural network
Stroke volume,Remote patient monitoring,Internal medicine,Cardiology,Afterload,Beat (music),Heart rate,Mean arterial pressure,Cardiac output,Medicine,Heart sounds
Conference
Volume
ISSN
ISBN
2011
1557-170X
978-1-4244-4122-8
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Ricardo Couceiro13510.16
Paulo Carvalho225047.68
Rui Pedro Paiva310717.38
Jorge Henriques4125.18
Manuel Antunes5449.87
I. Quintal662.07
J. Muehlsteff77517.89