A novel method for discrimination between innocent and pathological heart murmurs
(English)Manuscript (preprint) (Other academic)
This paper presents a novel method for discrimination between innocent and pathological murmurs; the growing time support vector machine (GTSVM). The proposed method is tailored for characterizing innocent murmurs (IM) by putting more emphasizes on the early parts of the signal as the IM is often heard in the early systolic duration. The input to the classifier is the spectral power in distinct frequency bands, computed in time windows of growing length. Individuals with mild to severe Aortic stenosis (AS) and IM are the two groups subjected to analysis, taking the normal individuals with no murmur (NM) as the control group. Aortic stenosis is selected due to the similarity of its murmur to IM, particularly in mild cases. To investigate the effect of the growing time windows, the performance of the GTSVM is compared to that of a conventional support vector machine (SVM), using repeated random sub-sampling method. The mean value of the classification rate/sensitivity is found to be 88%/86% for the GTSVM and 84%/83% for the SVM. The statistical evaluations show that the GTSVM significantly improves the performance of the discrimination compared with the SVM.
Growing-time support vector machine, support vector machine, phonocardiogram signal, heart murmurs, innocent murmurs
Biomedical Laboratory Science/Technology Medical Biotechnology
IdentifiersURN: urn:nbn:se:liu:diva-110178OAI: oai:DiVA.org:liu-110178DiVA: diva2:743372