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[Eigenvector analysis in body surface potential maps for evaluating right ventricular hypertrophy in primary
S Watabe1, H Hayashi, T Ishikawa
1First Department of Internal Medicine, Nagoya University School of Medicine.
Journal of Cardiology
|March 1, 1987
Summary
This study used body surface isopotential maps to analyze heart electrical activity, finding that the third eigenvector specifically reflects right ventricular excitation in healthy individuals.
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Electrophysiology
Context:
- Body surface potential mapping (BSPM) provides non-invasive insights into cardiac electrical activity.
- Understanding regional myocardial excitation is crucial for diagnosing cardiac conditions.
- The Karhunen-Loève theory offers a method for analyzing complex signal data.
Purpose:
- To investigate the relationship between eigenvectors from QRS complexes in body surface isopotential maps and regional myocardial excitation, particularly in the right ventricle.
- To differentiate excitation patterns between normal subjects and patients with primary pulmonary hypertension and right ventricular hypertrophy (PPH).
Summary:
- Eigenvectors were derived from QRS complexes in 120 normal subjects and 8 PPH patients using Karhunen-Loève theory.
- The first three eigenvectors captured 90.3% of variance in normals and 80.2% in PPH.
- The third eigenvector showed distinct patterns, with significantly higher coefficients in PPH patients, indicating its strong reflection of right ventricular excitation.
Impact:
- Identifies the third eigenvector as a sensitive indicator of right ventricular excitation.
- Suggests potential for using eigenvector analysis of BSPM in diagnosing conditions affecting the right ventricle, such as PPH.
- Advances the non-invasive assessment of cardiac electrophysiology.