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Original Article

Objective measures for detecting the auditory brainstem response: comparisons of specificity, sensitivity and detection time

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Pages 468-478 | Received 28 Mar 2017, Accepted 18 Feb 2018, Published online: 14 Mar 2018

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Read on this site (5)

Ghadah S. Aljarboa, Steve L. Bell & David M. Simpson. (2023) Detecting cortical responses to continuous running speech using EEG data from only one channel. International Journal of Audiology 62:3, pages 199-208.
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Faten Saeed Obeidat & Steven Lewis Bell. (2019) Objective methods to measure vestibular evoked myogenic potential response saccular tuning curves. International Journal of Audiology 58:11, pages 724-732.
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M. A. Chesnaye, S. L. Bell, J. M. Harte & D. M. Simpson. (2019) A group sequential test for ABR detection. International Journal of Audiology 58:10, pages 618-627.
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Frederique J. Vanheusden, Michael A. Chesnaye, David M. Simpson & Steven L. Bell. (2019) Envelope frequency following responses are stronger for high-pass than low-pass filtered vowels. International Journal of Audiology 58:6, pages 355-362.
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Articles from other publishers (12)

Richard M. McKearney, Steven L. Bell, Michael A. Chesnaye & David M. Simpson. (2023) Optimising weighted averaging for auditory brainstem response detection. Biomedical Signal Processing and Control 83, pages 104676.
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Michael Alexander Chesnaye, Steven Lewis Bell, James Michael Harte, Lisbeth Birkelund Simonsen, Anisa Sadru Visram, Michael Anthony Stone, Kevin James Munro & David Martin Simpson. (2023) Modified T 2 Statistics for Improved Detection of Aided Cortical Auditory Evoked Potentials in Hearing-Impaired Infants . Trends in Hearing 27, pages 233121652311540.
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Dominik Thalmeier, Gregor Miller, Elida Schneltzer, Anja Hurt, Martin Hrabě deAngelis, Lore Becker, Christian L. Müller & Holger Maier. (2022) Objective hearing threshold identification from auditory brainstem response measurements using supervised and self-supervised approaches. BMC Neuroscience 23:1.
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Richard M. McKearneySteven L. BellMichael A. ChesnayeDavid M. Simpson. (2022) Auditory Brainstem Response Detection Using Machine Learning: A Comparison With Statistical Detection Methods. Ear & Hearing 43:3, pages 949-960.
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Fan-Yin Cheng & Spencer Smith. (2022) Objective Detection of the Speech Frequency Following Response (sFFR): A Comparison of Two Methods. Audiology Research 12:1, pages 89-94.
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M.A. Chesnaye, S.L. Bell, J.M. Harte & D.M. Simpson. (2021) Controlling test specificity for auditory evoked response detection using a frequency domain bootstrap. Journal of Neuroscience Methods 363, pages 109352.
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Michael Alexander Chesnaye, Steven Lewis Bell, James Michael HarteLisbeth Birkelund SimonsenAnisa Sadru VisramMichael Anthony StoneKevin James MunroDavid Martin Simpson. (2021) Efficient Detection of Cortical Auditory Evoked Potentials in Adults Using Bootstrapped Methods. Ear & Hearing 42:3, pages 574-583.
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Ana Cristina Coelho, Alcione Ghedini Brasolotto & Fayez BahmadJr.Jr.. (2020) Development and validation of the protocol for the evaluation of voice in patients with hearing impairment (PEV-SHI). Brazilian Journal of Otorhinolaryngology 86:6, pages 748-762.
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Leonardo B. Felix, Moisés C. Gonçalves, Tiago Zanotelli, Antonio M.F.L. Miranda de Sá & David M. Simpson. (2020) The global Beta test for hidden periodicities in signals and its extensions to multivariate systems. Computer Methods and Programs in Biomedicine 195, pages 105550.
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Michael Alexander Chesnaye, Steven L. Bell, James Michael Harte & David Martin Simpson. (2020) The Convolutional Group Sequential Test: Reducing Test Time for Evoked Potentials. IEEE Transactions on Biomedical Engineering 67:3, pages 697-705.
Crossref
Idileisy Torres-Rodríguez, Carlos Ariel Ferrer-Riesgo, Martha Madyuri Pérez de Morales Artiles & Alberto Taboada-Crispi. 2020. VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering. VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering 12 20 .
Idileisy Torres-Rodríguez, Carlos Ariel Ferrer-Riesgo, Juan Carlos Oliva Pérez & Alberto Taboada-Crispi. 2019. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 629 636 .

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