Automatic Diagnosis Of Mitral Stenosis Disease By Impedance Cardiography Signal Processing (ICG)

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T. Hadidi, “Automatic Diagnosis Of Mitral Stenosis Disease By Impedance Cardiography Signal Processing (ICG)”, ijmhs, vol. 7, no. 1, Feb. 2017.
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Abstract

The diagnosis of cardiovascular diseases could be performed by several invasive and non-invasive methods. A non-invasive method for cardiac diseases quantification is described in this paper. Our method uses discriminant analysis of seven cepstral parameters computed from the Impedance cardiography signal (ICG) which represents an impedance variation in explored thoracic region at the level of the ascending aorta. In this study we have performed the assessment of two kinds of serious mitral stenosis (MS++) and very serious (MS+++) disease.. These diseasesare already well known by conventional methods (cardiovascular catheterization and echo-Doppler methods). A data base of 62 subjects (10 normal and 52 with different kinds of cardiac diseases) is used. The sample of the mitral stenosis diseases is constituted by six cases. Results show that the fisher distances(dij) of mitral stenosis diseasesare minimum which represents a confirmation of the nature of these diseases. These results are confirmed by Stewart Hamilton dilution method and Cardiac Echo-Doppler method.

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