2022
DOI: 10.1016/j.heares.2022.108508
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Cortical potentials evoked by tone frequency changes can predict speech perception in noise

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Cited by 6 publications
(5 citation statements)
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“…However, due to a lack of clinically useful and consistent correlations, none of these objective measures have made it beyond research applications [ 23 27 ]. The prognostic ACC model is the first objective measure to predict speech in noise perception with high accuracy [ 14 ]. Since this prediction model was based on a study population of 37 adult subjects with only 13 subjects with SNHL, it is essential to validate this prediction model in an independent and large study population.…”
Section: Discussionmentioning
confidence: 99%
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“…However, due to a lack of clinically useful and consistent correlations, none of these objective measures have made it beyond research applications [ 23 27 ]. The prognostic ACC model is the first objective measure to predict speech in noise perception with high accuracy [ 14 ]. Since this prediction model was based on a study population of 37 adult subjects with only 13 subjects with SNHL, it is essential to validate this prediction model in an independent and large study population.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the prediction model: SRT = − 6.4 + 0.071*HL + 0.083*(ACC latency – 100), with ACC latency being the average of ACC recordings at three different base frequencies and HL being the PTA (average hearing loss for 1000, 2000, and 4000 Hz), we will have 6 variables in the model with SRT and HL in dB and ACC latency in ms [ 14 ]. With a large effect size of f 2 = 0.6667, an α = 0.01 and β = 0.99, we would need a total sample size of n = 62 (GPower 3.1, F -test linear multiple regression, R 2 deviation from zero).…”
Section: Methodsmentioning
confidence: 99%
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