gms | German Medical Science

85. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

28.05. - 01.06.2014, Dortmund

Implementation of wavelet analysis of auditory evoked potentials

Meeting Abstract

  • 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

Veröffentlicht: 14. April 2014

© 2014 Becirovic et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

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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