@article{MAKHILLIJSC20072120791,
    title = {Classification of Heart Sound Signals Using Discrete Wavelet Analysis},
    journal = {International Journal of Soft Computing},
    volume = {2},
    number = {1},
    pages = {37-41},
    year = {2007},
    issn = {1816-9503},
    doi = {ijscomp.2007.37.41},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2007.37.41},
    author = {Jalel Chebil and},
    keywords = {Heart sounds,heart auscultation,classification of phonocardiagram signals,discrete wavelet},
    abstract = {Heart auscultation which is the interpretation of sounds produced by the heart is a fundamental tool in the diagnosis of heart disease. It is the most commonly used technique for screening and diagnosis in primary health care. The efficiency of this diagnosis can be improved considerably by using modern digital signal processing techniques. This study utilizes the discrete wavelet transforms to identify the first heart sound S1, second heart sound S2 and murmurs. An algorithm was developed with the aim of classifying phonocardiogram signals into three categories: signal with systolic murmur, signal with diastolic murmur, or normal signal.}
    }