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85th Annual Meeting of the German Society of Oto-Rhino-Laryngology, Head and Neck Surgery

German Society of Oto-Rhino-Laryngology, Head and Neck Surgery

28.05. - 01.06.2014, Dortmund

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Implementation of wavelet analysis of auditory evoked potentials

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  • corresponding author Mersiha Becirovic - ENT Clinic Sarajevo, Sarajevo, Bosnia and Herzegovina
  • Jasminka Alagic-Smailbegovic - ENT Clinic, Sarajevo, Bosnia and Herzegovina
  • Ilhana Setic - ENT Clinic, Sarajevo, Bosnia and Herzegovina

Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie. 85. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie. Dortmund, 28.05.-01.06.2014. Düsseldorf: German Medical Science GMS Publishing House; 2014. Doc14hnod316

doi: 10.3205/14hnod316, urn:nbn:de:0183-14hnod3169

Published: April 14, 2014

© 2014 Becirovic et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.

Outline

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Objective: Different techniques are used to evaluate people’s hearing sensitivity. These techniques use methods based on auditory brainstem response (ABR), transient evoked otoacoustic emissions (TEOAE), etc. ABR signal is part of the auditory evoked potential (AEP) that occurs in the brain as a result of an auditory stimulus that excites the brain neurons to trigger the potential. The ABR test is a neurological test that is clinically used to evaluate hearing sensitivity of tested subjects. The analysis of ABR is by far one of the most reliable methods in diagnosing the hearing loss in newborn babies.

To determine a preferred wavelet transform (WT) procedure for multi-resolution analysis (MRA) of auditory evoked potentials (AEP).

Methods: A number of WT algorithms, mother wavelets, and pre-processing techniques were examined by way of critical theoretical discussion followed by experimental testing of key points using real and simulated auditory brain-stem response (ABR) waveforms. Conclusions from these examinations were then tested on a normative ABR dataset.

Conclusions: The study’s main focus is to implement a new method of filtering the ABR, so that less number of sweeps is required; therefore, less time is consumed for the ABR test. The study implements a Wavelet filter of the ABR signal, which is able to produce a meaningful readable ABR signal using 500 sweeps or less.

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