Model-based estimation of cardiovascular repolarization features: Ischaemia detection and PTCA monitoring

P. Laguna Departamento de Ingeniría Electrónica y Comunicaciones, Centro Politénico Supoior, Universidad de Zaragoza, Zaragoza, Spain

J. García Departamento de Ingeniría Electrónica y Comunicaciones, Centro Politénico Supoior, Universidad de Zaragoza, Zaragoza, Spain

I. Roncal Departamento de Ingeniría Electrónica y Comunicaciones, Centro Politénico Supoior, Universidad de Zaragoza, Zaragoza, Spain

G. Wagner Departrnent of Medicine, Division of Cardiology, Duke University Medical Center, Durham, NC, USA

P. Lander V.A. Medical Center, Universitty of Oklahoma, Oklahoma City, OK, USA

R. Mark Division of Health Sciences and Technolngy, Harvard-Massachusetts Institute of Technology, Cambridge, MA, USA

Abstract

The ST-T segment of the surface ECG reflects cardiac repolarization, and is quite sensitive to a number of pathologtcal conditions, particularly ischaemia. ST-T changes generally affect the entire waveshape, and are inadequately characterzied by single features such as depression of the ST segment at one particular point. Metrics which represent overall waveshape should provide more sensitive indicators of ST-T wave abnormalities, particularly when they are subtle, intermittent or periodic. This study discusses a Karhunen-

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Model-based estimation of cardiovascular repolarization features: Ischaemia detection and PTCA monitoring

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Model-based estimation of cardiovascular repolarization features: Ischaemia detection and PTCA monitoring

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