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Imaging of the heart with phonocardiography

Sochocka A., Kawa T., Kopański K., Kujdowicz M., Lasko P., Micek S., Płaneta R., Smoleń M., Sosin Z., Sobczyk D.

Bio-Algorithms and Med-Systems

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2013

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Vol. 9, no. 2

59--64

EN

This paper focuses on techniques of phonocardiographic image registration. Simultaneous measurements of sound wave amplitudes from above the chest of a healthy person were performed by means of piezoelectric microphones. The location of the source of sound waves can be determined by implementing the size of the amplitudes. Sound source changes its position in time and moves the wheel tracks covering the entire heart or accumulate in some places. A comparison of the results of heart auscultation with an image received by echocardiography was possible due to the fact that the collected phonocardiographic measurements and echocardiographic examination were obtained with ECG sampling. The occurrence of the specific events from the heart auscultation was attributed to their genesis mechanism.

2

Analysis of left cardiac ventricle shape variations based on examination of ultrasound images

Przytulska M.

Machine Graphics and Vision

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2007

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Vol. 16, No. 3/4

275-292

EN

The changes in the shape of the left cardiac ventricle within full heart evolution cycle in norm and in pathology are described using a kinetic model programmed and verified on real clinical data. In the model, information is represented by the so-called shape coefficients. The time series of the shape coefficients as well as of differential and normalized shape coefficients of the left heart ventricle have been obtained experimentally. They are then analyzed using three different approaches: spectral analysis, direct analysis of shape coefficients and direct visualization of contractions. In each of those cases, the aim of the analysis is detection and recognition of various types of abnormalities, as well as evaluation of the distance between the detected pathology and the norm.

3

Examination of left cardiac ventricle's contractility based on spectral analysis of ultrasound imaging

Przytulska M., Kulikowski J. L.

Biocybernetics and Biomedical Engineering

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2007

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Vol. 27, no. 4

17-28

EN

A method of left cardiac ventricle's contractility abnormalities recognition and assessment, based on computer-aided analysis of sequences of ultrasonographic images is presented. The method is based on an analytical model of ventricle's shape time-variations during a single or several heart evolution cycles. An approach to ventricle's contractility abnormalities detection and evaluation based on a concept of spectral analysis of the shape coefficients' time-variations is proposed. The shape coefficients can be obtained by a computer-aided analysis of sequences of ultrasonographic cardiac images. The contraction process is characterized by spectral indicators: the contraction-depth ratio and the smoothness ratio. The results of preliminary testing of the method on clinical data are presented.