title: Adaptive modeling of sound transmission in the respiratory system.
abstract: In this study, adaptive filtering techniques have been used in an attempt to model the respiratory system. The respiratory system has been considered as a dynamic system for which input-output relationship is to be defined. Simultaneous measurement of the respiratory sounds over the trachea and posterior chest were made, with the signal from the trachea forming the input to a finite impulse response filter and the signal from the posterior chest forming the desired response of the filter. The chest cavity was stimulated with speech sounds. Least-mean square algorithm was used to update filter coefficients. The learning curves of the filter are presented in the paper. It can be concluded that adaptive filtering is a promising way to characterize transmission characteristics of the respiratory system and further improvement may be obtained if anatomical information is integrated in the modeling process.
authors.affiliation: Institute of Biomedical Engineering, Bogazici University, Bebek, Istanbul, Turkey.
authors.forename: K
authors.initials: K
authors.lastname: Ciftci
authors.forename: M
authors.initials: M
authors.lastname: Yeginer
authors.forename: I
authors.initials: I
authors.lastname: Sen
authors.forename: U
authors.initials: U
authors.lastname: Cini
authors.forename: Y P
authors.initials: YP
authors.lastname: Kahya