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 dil | İngilizce |
---|---|
Sayfa (başlangıç-bitiş) | 155-158 |
Sayfa sayısı | 4 |
Dergi | Proceedings of the IEEE Symposium on Computer-Based Medical Systems |
Yayın durumu | Yayınlandı - 2002 |
Etkinlik | fifteenth IEEE Symposium on Computer-Based Medical Systems - Maribor, Slovenia Süre: 4 Haz 2002 → 7 Haz 2002 |