Automated eigenvector analysis for quantification of color M-mode Doppler filling patterns of the left ventricle in an ischemic canine model

Marie Stugaard*, Neil L. Greenberg, Jianhua Zhou, James D. Thomas

*Corresponding author for this work

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

The feasibility of an automated set of computer algorithms for quantification of color M-mode Doppler patterns of the left ventricle (LV) was investigated at baseline and during ischemia, and these parameters were related to invasive measures. Six open-chest anesthetized dogs were instrumented by a multisensor high fidelity catheter; with sensors at base of LV, in apex, and in left atrium. Early diastolic filling waves were processed by eigenvector analysis, with the parameters: centroid (s,t), eigenvalues (ss, tt), and angle of rotation (theta). Maximum -dP/dt decreased from 1114±174 to 562±91 mmHg/s (p<0.05), and tau increased from 73±4 to 122±16 ms (p<0.05). Timing parameters of the eigenvector analysis increased significantly, while theta, which is similar to flow propagation, decreased from -0.71±0.30 to -3.39±0.66 degrees (p<0.01). Tau showed a high correlation with theta (r = -0.95, p<0.0001). Automated eigenvector analysis of color M-mode patterns is feasible, and quantifies significant changes during ischemia.

Original languageEnglish (US)
Pages (from-to)61-64
Number of pages4
JournalComputers in Cardiology
StatePublished - Dec 1 1997
EventProceedings of the 1997 24th Annual Meeting on Computers in Cardiology - Lund, Sweden
Duration: Sep 7 1997Sep 10 1997

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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