Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing.
A new method is presented for the purpose of improving pass/fail separation during transient evoked otoacoustic emission (TEOAE) hearing screening. The method combines signal decomposition in scales using the discrete wavelet transform, non-linear denoising and scale-dependent time windowing. The cross-correlation coefficient between two subaveraged, processed TEOAE signals is used as a pass/fail criterion and assessed in relation to the pure-tone, mean hearing level. The performance is presented in terms of receiver operating characteristics for a database of 5,214 individuals. The results show that the specificity improves from 68% to 83% at a sensitivity of 90% when compared with the conventional wave reproducibility parameter.
Janusauskas
A
A
Department of Applied Electronics, Lund University, Sweden.
Marozas
V
V
Engdahl
B
B
Hoffman
H J
HJ
Svensson
O
O
Sörnmo
L
L
D034381:Hearing Loss / Q000175:diagnosis*; D006320:Hearing Tests / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D017084:Otoacoustic Emissions, Spontaneous; D012372:ROC Curve; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted