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Real- Time Estimation of the Ventricular Relaxation Time Constant  

Chun Honggu (Department of Biomedical Engineering, College of Medicine & Institute of Biological & Medical Engineering, Medical Research Center)
Kim Hee Chan (Department of Biomedical Engineering, College of Medicine & Institute of Biological & Medical Engineering, Medical Research Center)
Sohn Daewon (Department of Internal Medicine, College of Medicine, Seoul National University)
Publication Information
Journal of Biomedical Engineering Research / v.26, no.2, 2005 , pp. 87-93 More about this Journal
Abstract
A new method for real-time estimating left ventricular relaxation time constant (T) from the left ventricular (LV) pressure waveform, based on the isovolumic relaxation model, is proposed. The presented method uses a recursive least squares (RLS) algorithm to accomplish real-time estimation. A new criterion to detect the end-point of the isovolumic relaxation period (IRP) for the estimation of T is also introduced, which is based on the pattern analysis of mean square errors between the original and reconstructed pressure waveforms. We have verified the performance of the new method in over 4,600 beats obtained from 70 patients. The results demonstrate that the proposed method provides more stable and reliable estimation of τ than the conventional 'off-line' methods.
Keywords
Ventricular relaxation time constant; Ventricular diastolic function; Real-time estimation; Recursive least squares algorithm;
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