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InProceedings (Aufsatz / Paper einer Konferenz etc.) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-30873
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3087/


Fast detection of wave V in ABRs using a smart single sweep analysis system

Strauss, Daniel J. ; Delb, Wolfgang ; Plinkert, Peter K. ; Schmidt, Helmut K.

Quelle: (2004) Linkages for innovation in biomedicine : 26th annual international conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 / conference chair: Donna Hudson. - Piscataway, NJ : IEEE Service Center, 2004, S. 458-461
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SWD-Schlagwörter: Detektion , Säugling , Neugeborenes , Hören , Audiometrie
Institut: INM Leibniz-Institut für Neue Materialien
DDC-Sachgruppe: Ingenieurwissenschaften
Dokumentart: InProceedings (Aufsatz / Paper einer Konferenz etc.)
ISBN: 0-7803-8439-3
Sprache: Englisch
Erstellungsjahr: 2004
Publikationsdatum: 25.02.2011
Kurzfassung auf Englisch: The analysis of auditory brainstem responses (ABRs) is accepted to be the most reliable method for the objective diagnosis and quantification of hearing loss in new-borns. However, in currently available setups, a large number of sweeps has to be averaged to obtain a meaningful signal at low stimulation levels due to a poor signal-to-noise ratio. In this study, we present a new approach to the detection of wave V in ABRs using a smart single sweep analysis system. A small number of sweeps is decomposed by optimized tight frames and evaluated by a kernel based novelty detection machine. This hybrid supervised learning scheme is combined with an inter-sweep dissimilarity tracing for the final decision making. At the challenging stimulation level of 30 dB, our system reached a reasonable specificity and sensitivity for the detection of wave V in a fraction of the measurement time of conventional schemes.

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