Abstract
An innovative acoustic noise canceling method using adaptive Wiener filtering (AWF) was developed for improved acquisition of distortion product otoacoustic emissions (DPOAEs). The system used one microphone placed in the test ear for the primary signal. Noise reference signals were obtained from three different sources: (a) pre-stimulus response from the test ear microphone, (b) post-stimulus response from a microphone placed near the head of the subject and (c) post-stimulus response obtained from a microphone placed in the subject's nontest ear. In order to improve spectral estimation, block averaging of a different number of single sweep responses was used. DPOAE data were obtained from 11 ears of healthy newborns in a well-baby nursery of a hospital under typical noise conditions. Simultaneously obtained recordings from all three microphones were digitized, stored and processed off-line to evaluate the effects of AWF with respect to DPOAE detection and signal-to-noise ratio (SNR) improvement. Results show that compared to standard DPOAE processing, AWF improved signal detection and improved SNR.
| Original language | English |
|---|---|
| Pages (from-to) | 883-891 |
| Number of pages | 9 |
| Journal | Annals of Biomedical Engineering |
| Volume | 26 |
| Issue number | 5 |
| State | Published - Dec 1 1998 |
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Keywords
- Adaptive noise canceling
- Hearing testing
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
Adaptive wiener filtering for improved acquisition of distortion product otoacoustic emissions. / Ozdamar, Ozcan; Delgado, Rafael E.; Rahman, Syed; Lopez, Carlos.
In: Annals of Biomedical Engineering, Vol. 26, No. 5, 01.12.1998, p. 883-891.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Adaptive wiener filtering for improved acquisition of distortion product otoacoustic emissions
AU - Ozdamar, Ozcan
AU - Delgado, Rafael E.
AU - Rahman, Syed
AU - Lopez, Carlos
PY - 1998/12/1
Y1 - 1998/12/1
N2 - An innovative acoustic noise canceling method using adaptive Wiener filtering (AWF) was developed for improved acquisition of distortion product otoacoustic emissions (DPOAEs). The system used one microphone placed in the test ear for the primary signal. Noise reference signals were obtained from three different sources: (a) pre-stimulus response from the test ear microphone, (b) post-stimulus response from a microphone placed near the head of the subject and (c) post-stimulus response obtained from a microphone placed in the subject's nontest ear. In order to improve spectral estimation, block averaging of a different number of single sweep responses was used. DPOAE data were obtained from 11 ears of healthy newborns in a well-baby nursery of a hospital under typical noise conditions. Simultaneously obtained recordings from all three microphones were digitized, stored and processed off-line to evaluate the effects of AWF with respect to DPOAE detection and signal-to-noise ratio (SNR) improvement. Results show that compared to standard DPOAE processing, AWF improved signal detection and improved SNR.
AB - An innovative acoustic noise canceling method using adaptive Wiener filtering (AWF) was developed for improved acquisition of distortion product otoacoustic emissions (DPOAEs). The system used one microphone placed in the test ear for the primary signal. Noise reference signals were obtained from three different sources: (a) pre-stimulus response from the test ear microphone, (b) post-stimulus response from a microphone placed near the head of the subject and (c) post-stimulus response obtained from a microphone placed in the subject's nontest ear. In order to improve spectral estimation, block averaging of a different number of single sweep responses was used. DPOAE data were obtained from 11 ears of healthy newborns in a well-baby nursery of a hospital under typical noise conditions. Simultaneously obtained recordings from all three microphones were digitized, stored and processed off-line to evaluate the effects of AWF with respect to DPOAE detection and signal-to-noise ratio (SNR) improvement. Results show that compared to standard DPOAE processing, AWF improved signal detection and improved SNR.
KW - Adaptive noise canceling
KW - Hearing testing
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M3 - Article
C2 - 9779961
AN - SCOPUS:0032158653
VL - 26
SP - 883
EP - 891
JO - Annals of Biomedical Engineering
JF - Annals of Biomedical Engineering
SN - 0090-6964
IS - 5
ER -