Gabor frame phase stability analysis of chirp evoked auditory brainstem responses

We have shown that click evoked auditory brainstem response (ABR) single sweeps can be efficiently processed using a novelty detection paradigm. In this paradigm, the diagnostic system is self-adjusted to the individual measurement setting using the spontaneous activity. ABRs as a large-scale reflec...

Full description

Bibliographic Details
Main Authors: Corona-Strauss, Farah I., Delb, Wolfgang, Schick, Bernhard, Hussain, Sheikh, Strauss, Daniel J.
Format: Book Section
Published: IEEE 2009
Subjects:
_version_ 1796855422439653376
author Corona-Strauss, Farah I.
Delb, Wolfgang
Schick, Bernhard
Hussain, Sheikh
Strauss, Daniel J.
author_facet Corona-Strauss, Farah I.
Delb, Wolfgang
Schick, Bernhard
Hussain, Sheikh
Strauss, Daniel J.
author_sort Corona-Strauss, Farah I.
collection ePrints
description We have shown that click evoked auditory brainstem response (ABR) single sweeps can be efficiently processed using a novelty detection paradigm. In this paradigm, the diagnostic system is self-adjusted to the individual measurement setting using the spontaneous activity. ABRs as a large-scale reflection of a stimulus locked neuronal group synchronization at the brainstem level are detected as novel instance - novel as compared to the spontaneous activity which does not exhibit a regular stimulus locked synchronization. In this paper we propose for the first time Gabor frame operators as an efficient feature extraction technique for ABR single sweeps. In particular, we use this decomposition technique to derive the Gabor frame phase stability (GFPS) of sweep sequences of click and chirp evoked ABRs. We show that the GFPS represents a robust feature of ABRs and that GFPS of chirp evoked ABRs provides a stable discrimination of the spontaneous activity from stimulations above the hearing threshold with a minimum number of sweeps, even at low stimulation intensities. This is the first study that is directed to a single sweep analysis of chirp evoked ABRs. We conclude that our study reinforces the use of chirp stimulations for the fast hearing threshold detection. The presented method might be used in expert based diagnostic procedures directly or for the ultra-fast detection of the hearing threshold by cojoint systems with a computational decision making stage according to the novelty detection paradigm.
first_indexed 2024-03-05T18:28:20Z
format Book Section
id utm.eprints-14627
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T18:28:20Z
publishDate 2009
publisher IEEE
record_format dspace
spelling utm.eprints-146272011-09-30T15:20:09Z http://eprints.utm.my/14627/ Gabor frame phase stability analysis of chirp evoked auditory brainstem responses Corona-Strauss, Farah I. Delb, Wolfgang Schick, Bernhard Hussain, Sheikh Strauss, Daniel J. RZ Other systems of medicine We have shown that click evoked auditory brainstem response (ABR) single sweeps can be efficiently processed using a novelty detection paradigm. In this paradigm, the diagnostic system is self-adjusted to the individual measurement setting using the spontaneous activity. ABRs as a large-scale reflection of a stimulus locked neuronal group synchronization at the brainstem level are detected as novel instance - novel as compared to the spontaneous activity which does not exhibit a regular stimulus locked synchronization. In this paper we propose for the first time Gabor frame operators as an efficient feature extraction technique for ABR single sweeps. In particular, we use this decomposition technique to derive the Gabor frame phase stability (GFPS) of sweep sequences of click and chirp evoked ABRs. We show that the GFPS represents a robust feature of ABRs and that GFPS of chirp evoked ABRs provides a stable discrimination of the spontaneous activity from stimulations above the hearing threshold with a minimum number of sweeps, even at low stimulation intensities. This is the first study that is directed to a single sweep analysis of chirp evoked ABRs. We conclude that our study reinforces the use of chirp stimulations for the fast hearing threshold detection. The presented method might be used in expert based diagnostic procedures directly or for the ultra-fast detection of the hearing threshold by cojoint systems with a computational decision making stage according to the novelty detection paradigm. IEEE 2009 Book Section PeerReviewed Corona-Strauss, Farah I. and Delb, Wolfgang and Schick, Bernhard and Hussain, Sheikh and Strauss, Daniel J. (2009) Gabor frame phase stability analysis of chirp evoked auditory brainstem responses. In: 2009 4th International IEEE/EMBS Conference on Neural Engineering. Article number 5109400 . IEEE, pp. 730-733. ISBN 978-142442073-5 http://dx.doi.org/10.1109/NER.2009.5109400 doi:10.1109/NER.2009.5109400
spellingShingle RZ Other systems of medicine
Corona-Strauss, Farah I.
Delb, Wolfgang
Schick, Bernhard
Hussain, Sheikh
Strauss, Daniel J.
Gabor frame phase stability analysis of chirp evoked auditory brainstem responses
title Gabor frame phase stability analysis of chirp evoked auditory brainstem responses
title_full Gabor frame phase stability analysis of chirp evoked auditory brainstem responses
title_fullStr Gabor frame phase stability analysis of chirp evoked auditory brainstem responses
title_full_unstemmed Gabor frame phase stability analysis of chirp evoked auditory brainstem responses
title_short Gabor frame phase stability analysis of chirp evoked auditory brainstem responses
title_sort gabor frame phase stability analysis of chirp evoked auditory brainstem responses
topic RZ Other systems of medicine
work_keys_str_mv AT coronastraussfarahi gaborframephasestabilityanalysisofchirpevokedauditorybrainstemresponses
AT delbwolfgang gaborframephasestabilityanalysisofchirpevokedauditorybrainstemresponses
AT schickbernhard gaborframephasestabilityanalysisofchirpevokedauditorybrainstemresponses
AT hussainsheikh gaborframephasestabilityanalysisofchirpevokedauditorybrainstemresponses
AT straussdanielj gaborframephasestabilityanalysisofchirpevokedauditorybrainstemresponses