Implementation of Wavelet-Kalman Filtering Technique for Auditory Brainstem Response
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
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.
ABR signal, Kalman filter, Wavelet Transform, Wavelet-Kalman filter
IdentifiersURN: urn:nbn:se:liu:diva-85116ISRN: LiTH-ISY-EX--12/4633--SEOAI: oai:DiVA.org:liu-85116DiVA: diva2:564868