WHEEZE DETECTION IN THE RESPIRATORY SOUNDS USING HILBERT-HUANG TRANSFORM

Sayli O.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.2194-2197 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2014.6830699
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.2194-2197
  • Kocaeli Üniversitesi Adresli: Hayır

Özet

Wheezes in the respiratory sounds are indicators for a number of diseases. Automatic detection of these signals -which have musical character and one or more dominant frequencies-is very important. In this study investigation of wheeze detection in the respiratory sounds using Hilbert-Huang transform is studied. This method allows analysis of signals which are neither stationary nor linear. Initially Intrinsic Mode Functions are found using Empirical Mode Decomposition. Instantaneous frequencies calculated using Hilbert transform of these signals were found to have distinct values with low variations, and constancy and variation of these instantaneous frequencies were affected by the power of the dominant frequencies in the wheeze.