Multiparameter trend monitoring and intelligent displays using wavelet analysis

Author

Saeed, M. ; Mark, RG

Author_Institution

Harvard-MIT Div. of Health Sci. & Technol., Cambridge, MA, USA

fYear

2000

fDate

2000

Firstpage

797

Lastpage

800

Abstract

An Intelligent Patient Monitoring (IPM) framework is defined for the analysis and display of multiparameter trends from ICU patients. Wavelet analysis was utilized for detection of physiological events and artifacts in long-term trends. A group of 58 patients from the MIMIC database were identified in which the heart rate (HR), arterial blood pressure (ABP), and pulmonary artery pressure (PAP) were monitored. An estimated cardiac output (CO) signal, using HR and ABP, was shown to correlate strongly (r=.67) with actual CO measurements. Using wavelet analysis, automated artifact and physiological event detection algorithms were developed to monitor left ventricular hemodynamic function. Finally, an intelligent display system is presented for presentation of the data in ICU monitors

Keywords

blood pressure measurement; cardiology; medical signal detection; medical signal processing; patient monitoring; wavelet transforms; ICU monitors; arterial blood pressure; artifacts detection; data presentation; estimated cardiac output signal; heart rate; intelligent display system; intelligent displays; intelligent patient monitoring framework; left ventricular hemodynamic function monitoring; multiparameter trend monitoring; physiological event detection algorithms; physiological events detection; pulmonary artery pressure; Arterial blood pressure; Arteries; Biomedical monitoring; Databases; Displays; Event detection; Heart rate; Heart rate measurement; Patient monitoring; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 2000

Conference_Location

Cambridge, MA

ISSN

0276-6547

Print_ISBN

0-7803-6557-7

Type

conf

DOI

10.1109/CIC.2000.898645

Filename

898645