Determination of features for heart sounds by using wavelet transforms

M. Nadir Kurnaz*, Tamer Ölmez

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıKonferans makalesibilirkişi

9 Atıf (Scopus)

Özet

A novel method is presented to determine features of heart sounds. Wavelet transform is applied to a window of two periods of heart sounds. Two analyses are realized for the signals in the window: Segmentation of the first and second heart sounds, and extraction of the features. After the segmentation, feature vectors are formed by using the wavelet detail coefficient at the sixth decomposition level. The best feature elements are analyzed by using dynamic programming.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)155-158
Sayfa sayısı4
DergiProceedings of the IEEE Symposium on Computer-Based Medical Systems
Yayın durumuYayınlandı - 2002
Etkinlikfifteenth IEEE Symposium on Computer-Based Medical Systems - Maribor, Slovenia
Süre: 4 Haz 20027 Haz 2002

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