Key result
Advanced phonocardiography enables assessment of fetal heart rate variability and heart murmurs.
Why the study?
Conventional cardiotocographic examination lacks the ability to assess certain fetal cardiac parameters and heart murmurs that require long-term or highly accurate heart rate variability monitoring.
A novel heuristic method combining autocorrelation, wavelet transform, and matching pursuit improves fetal heart sound evaluation and enables the assessment of fetal heart murmurs.
May support non-invasive fetal monitoring development; leaves open clinical validation before practice adoption.
This paper presents a complex heuristic method for the evaluation of fetal heart sounds, applying simultaneously several algorithms, where the autocorrelation technique has been completed with the wavelet transform and the matching pursuit methods. In this way, a more reliable heart rate variability can be achieved and further parameters of the cardiac operation can be assessed in addition to the conventional cardiotocographic examination. This also comprises those parameters, which can be investigated only with long-term or continuous monitoring, and those, which rely on a very accurate estimation of the heart rate variability. The proposed method provides a way for assessing fetal heart murmurs, which is a completely new possibility for monitoring the well-being of the fetus.
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Kovács et al. (2010) studied Fetal monitoring. Complex heuristic method for phonocardiography (autocorrelation, wavelet transform, matching pursuit) vs. Conventional cardiotocographic examination was evaluated on Fetal heart rate variability and fetal heart murmurs. A complex heuristic method for phonocardiography combining autocorrelation, wavelet transform, and matching pursuit enables assessment of fetal heart rate variability and fetal heart murmurs.
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