Objective detection of auditory brainstem potentials: comparison of statistical tests in the time and frequency domains.

Newborn hearing screening with auditory brainstem potentials (ABR) requires objective ABR detection by a statistical test procedure with high performance. Statistical testing can be performed in the time or frequency domain. The aim of the present study was to compare the performance of three tests...

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Publicado en:Scandinavian Audiology Vol. 29; no. 1; pp. 44 - 52
Autores principales: Cebulla M, Stürzebecher E, Wernecke K
Formato: equations & formulas research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Feb2000
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Objective detection of auditory brainstem potentials: comparison of statistical tests in the time and frequency domains.
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          Cebulla M
          Stürzebecher E
          Wernecke K
        affil: ENT Clinic, Medical Faculty of the Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
      sug:
        subj:
          Evoked Potentials, Auditory, Brainstem Evaluation
          Hearing Screening In Infancy and Childhood
          Infant, Newborn
          Comparative Studies
          Friedman Test
          Descriptive Statistics
          Waveforms
          Adult
          Middle Age
          Acoustic Stimulation
          Power Analysis
          Predictive Value of Tests
          Human
          Infant, Newborn: birth-1 month
          Adult: 19-44 years
          Middle Aged: 45-64 years
      ab: Newborn hearing screening with auditory brainstem potentials (ABR) requires objective ABR detection by a statistical test procedure with high performance. Statistical testing can be performed in the time or frequency domain. The aim of the present study was to compare the performance of three tests in the time domain (Friedman test, variance ratio F(SP), Cochran's Q-test) with that of a test in the frequency domain (modified q-sample uniform scores test) that, in a former investigation, was shown to be the best test in the frequency domain. To compare the performance of the four tests, the test power was calculated and receiver operating characteristics (ROCs) were constructed from the probability density functions estimated using Monte Carlo simulations. In addition, a comparison on the basis of real near-threshold ABR data was carried out. The modified q-sample uniform scores test appeared to be the most powerful one. Some aspects of practical application are discussed.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
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      ougenre: Article
    language: English
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