Multiscale detection of transient evoked otoacoustic emissions
Författare
Summary, in English
This paper presents a unified approach to multiscale detection of transient evoked otoacoustic emissions (TEOAEs). Using statistical detection theory, it is shown that the optimal detector involves a time windowing operation where the window can be estimated from ensemble correlation information. The detector performs adaptive splitting of the signal into different frequency bands using either wavelet or wavelet packet decomposition. A simplified detector is proposed in. which signal energy is omitted. The results show that the simplified detector performs significantly better than existing TEOAE detectors based on wave reproducibility or the modified variance ratio, whereas the. detector involving signal energy does not offer such a performance advantage.
Publiceringsår
2006
Språk
Engelska
Sidor
1586-1593
Publikation/Tidskrift/Serie
IEEE Transactions on Biomedical Engineering
Volym
53
Issue
8
Dokumenttyp
Artikel i tidskrift
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Medical Engineering
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1558-2531