Classification of heart sounds by using wavelet transform

Özgür Say*, Zümray Dokur, Tamer Ölmez

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıKonferans makalesibilirkişi

20 Atıf (Scopus)

Özet

A novel method is presented to determine the features of heart sounds. Feature vectors are formed by using the wavelet detail and approximation coefficients at the second and the sixth decomposition levels, respectively. Decision making is performed in four stages: Segmentation of the first and second heart sounds, normalization process, feature extraction, and classification by the artificial neural network. In this study, nine different heart sounds are classified.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)128-129
Sayfa sayısı2
DergiAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Hacim1
Yayın durumuYayınlandı - 2002
EtkinlikProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Süre: 23 Eki 200226 Eki 2002

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