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Titel: Fast detection of wave V in ABRs using a smart single sweep analysis system
Verfasser: Strauss, Daniel J.
Delb, Wolfgang
Plinkert, Peter K.
Schmidt, Helmut K.
Sprache: Englisch
Erscheinungsjahr: 2004
Quelle: 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
SWD-Schlagwörter: Detektion
DDC-Sachgruppe: 620 Ingenieurwissenschaften und Maschinenbau
Dokumentart : InProceedings (Aufsatz / Paper einer Konferenz etc.)
Kurzfassung: 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.
Link zu diesem Datensatz: urn:nbn:de:bsz:291-scidok-30873
ISBN der Druckausgabe: 0-7803-8439-3
SciDok-Publikation: 25-Feb-2011
Fakultät: Sonstige Einrichtungen
Fachrichtung: SE - INM Leibniz-Institut für Neue Materialien
Fakultät / Institution:INM
SE - Sonstige Einrichtungen

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