Why the study?
Heart murmurs are common and can be life-threatening depending on severity, prompting the need to extract murmurs from PCG signals, classify their severity, and evaluate their impact on cardiac variability.
Does the severity of heart murmurs (measured by energy ratio from PCG) impact cardiac variability?
Does the severity of heart murmurs (measured by energy ratio from PCG) impact cardiac variability?
An algorithm based on energy ratio from phonocardiogram signals can classify heart murmur severity and assess its impact on cardiac variability.
Phonocardiogram (PCG) signal is one of the useful approach to explore cardiac activity, and extract many features to help researchers to develop technic that may serve medical stuff to the diagnosis of several cardiac diseases. For people when it comes to a heart activity problem it is a serious health matter that need special care. In this paper, the importance is given to heart murmurs to highlight their impact. Heart murmurs are very common disease in world and depend on their severity they could be life-threatening point; therefore, the purpose of this paper is focused on three essential steps: first is to design an algorithm to extract only heart murmurs from a pathological phonocardiogram signal (PCG) as a basic background to the whole work. Than calculate their severity based on energy ratio (ER) which is recommended by recent studies as an effective factor, in order to classify them to mild, medium and severe murmurs. In other hand, this classification will served to study the impact of severity of systolic and diastolic murmurs on cardiac variability, which is very important indicator on general health of human body. This study is done on consider number of patients and its reveal on very interesting results.
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Debbal et al. (2020) conducted a review in Menopause. Menopausal hormone therapy (MHT) was evaluated.
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