Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique


Ulukaya S., SERBES G. , Kahya Y. P.

COMPUTERS IN BIOLOGY AND MEDICINE, vol.104, pp.175-182, 2019 (Journal Indexed in SCI) identifier identifier identifier

Abstract

Background and objective: Wheezes in pulmonary sounds are anomalies which are often associated with obstructive type of lung diseases. The previous works on wheeze-type classification focused mainly on using fixed time-frequency/scale resolution based on Fourier and wavelet transforms. The main contribution of the proposed method, in which the time-scale resolution can be tuned according to the signal of interest, is to discriminate monophonic and polyphonic wheezes with higher accuracy than previously suggested time and time-frequency/scale based methods.