Change search
ReferencesLink to record
Permanent link

Direct link
Implementation of Wavelet-Kalman Filtering Technique for Auditory Brainstem Response
Linköping University, Department of Electrical Engineering, Information Coding.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Auditory brainstem response (ABR) evaluation has been one of the most reliable methods for evaluating hearing loss. Clinically available methods for ABR tests require averaging for a large number of sweeps (~1000-2000) in order to obtain a meaningful ABR signal, which is time consuming.  This study proposes a faster new method for ABR filtering based on wavelet-Kalman filter that is able to produce a meaningful ABR signal with less than 500 sweeps. The method is validated against ABR data acquired from 7 normal hearing subjects with different stimulus intensity levels, the lowest being 30 dB NHL. The proposed method was able to filter and produce a readable ABR signal using 400 sweeps; other ABR signal criteria were also presented to validate the performance of the proposed method.

Place, publisher, year, edition, pages
2012. , 53 p.
Keyword [en]
ABR signal, Kalman filter, Wavelet Transform, Wavelet-Kalman filter
National Category
Signal Processing
URN: urn:nbn:se:liu:diva-85116ISRN: LiTH-ISY-EX--12/4633--SEOAI: diva2:564868
Available from: 2012-11-05 Created: 2012-11-05 Last updated: 2012-11-05Bibliographically approved

Open Access in DiVA

fulltext(3882 kB)868 downloads
File information
File name FULLTEXT01.pdfFile size 3882 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Information Coding
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 868 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 493 hits
ReferencesLink to record
Permanent link

Direct link