title: Using a dynamic tracking filter to extract distortion-product otoacoustic emissions evoked with swept-tone signals.
abstract: Distortion-product otoacoustic emissions (DPOAEs) are sound energy generated by healthy inner ears when stimulated by two tones. Since DPOAEs are physiologically related with the functional status of the inner ear, they have been widely used as a clinical tool in hearing screening and diagnoses. Currently, almost all DPOAEs recording systems use pure tones as the stimuli and can test only one frequency at a time, resulting in low efficiency and insufficient resolution. In this study, conventional pure tones were replaced by swept tones with time-varying frequencies to overcome the limitation of current DPOAEs measurements. A tracking filter with dynamic center frequencies was proposed to extract the swept-tone DPOAEs from recorded signals with stimulus artifacts and background noises. The results of this study showed that the dynamic tracking filter had great performance in effectively extracting the swept-tone DPOAEs under different noise conditions for both the simulation and experimental data. The spectrogram of the extracted swept-tone DPOAEs could provide useful information to examine the functional status of the inner ear and to identify the detailed frequency regions of the hearing loss. These preliminary findings suggested that the swept-tone DPOAEs might be useful for developing a more efficient and accurate tool for hearing loss screening in the clinic.
authors.forename: Jun
authors.initials: J
authors.lastname: Deng
authors.forename: Shixiong
authors.initials: S
authors.lastname: Chen
authors.forename: Xiaoping
authors.initials: X
authors.lastname: Zeng
authors.forename: Guanglin
authors.initials: G
authors.lastname: Li
mesh_terms: D000328:Adult; D000465:Algorithms; D003198:Computer Simulation; D005260:Female; D034381:Hearing Loss / Q000503:physiopathology; D006320:Hearing Tests / Q000379:methods*; D006801:Humans; D008297:Male; D017084:Otoacoustic Emissions, Spontaneous / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult