The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

A group sequential test for ABR detection

A group sequential test for ABR detection
A group sequential test for ABR detection

Objective: To detect the auditory brainstem response (ABR) automatically using an innovative sequentially applied Hotelling’s T 2 test, with the overall goal of optimising test time whilst controlling the false-positive rate (FPR). 

Design: The stage-wise critical decision boundaries for accepting or rejecting the null hypothesis were found using a new approach called the Convolutional Group Sequential Test (CGST). Specificity, sensitivity, and test time were evaluated using simulations and subject recorded data. Study sample: Data consists of click-evoked ABR threshold series from 12 normal hearing adults, and recordings of EEG background activity from 17 normal hearing adults. 

Results: Reductions in mean test time of up to 40–45% were observed for the sequential test, relative to a conventional “single shot” test where the statistical test is applied to the data just once. To obtain these results, it will occasionally be necessary to run the test to a higher number of stimuli, i.e. the maximum test time needs to be increased. 

Conclusions: The CGST can be used to control the specificity of a sequentially applied ABR detection method. Doing so can reduce test time, relative to the “single shot” test, when considered across a cohort of test subjects.

ABR detection, Hotelling’s T2 test, objective detection methods, Sequential testing
1499-2027
618-627
Chesnaye, M. A.
5f337509-3255-4322-b1bf-d4d3836b36ec
Bell, S.L.
91de0801-d2b7-44ba-8e8e-523e672aed8a
Harte, J.M.
1ed3b723-9209-4f46-911d-2f2f345e0a32
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Chesnaye, M. A.
5f337509-3255-4322-b1bf-d4d3836b36ec
Bell, S.L.
91de0801-d2b7-44ba-8e8e-523e672aed8a
Harte, J.M.
1ed3b723-9209-4f46-911d-2f2f345e0a32
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a

Chesnaye, M. A., Bell, S.L., Harte, J.M. and Simpson, D.M. (2019) A group sequential test for ABR detection. International Journal of Audiology, 58 (10), 618-627. (doi:10.1080/14992027.2019.1625486).

Record type: Article

Abstract

Objective: To detect the auditory brainstem response (ABR) automatically using an innovative sequentially applied Hotelling’s T 2 test, with the overall goal of optimising test time whilst controlling the false-positive rate (FPR). 

Design: The stage-wise critical decision boundaries for accepting or rejecting the null hypothesis were found using a new approach called the Convolutional Group Sequential Test (CGST). Specificity, sensitivity, and test time were evaluated using simulations and subject recorded data. Study sample: Data consists of click-evoked ABR threshold series from 12 normal hearing adults, and recordings of EEG background activity from 17 normal hearing adults. 

Results: Reductions in mean test time of up to 40–45% were observed for the sequential test, relative to a conventional “single shot” test where the statistical test is applied to the data just once. To obtain these results, it will occasionally be necessary to run the test to a higher number of stimuli, i.e. the maximum test time needs to be increased. 

Conclusions: The CGST can be used to control the specificity of a sequentially applied ABR detection method. Doing so can reduce test time, relative to the “single shot” test, when considered across a cohort of test subjects.

Text
ChesnayeEtAl_AGroupSequentialTestForABRDetection - Accepted Manuscript
Download (1MB)
Text
ChesnayeEtAl_A group sequential test for ABR detection - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 22 May 2019
e-pub ahead of print date: 1 July 2019
Keywords: ABR detection, Hotelling’s T2 test, objective detection methods, Sequential testing

Identifiers

Local EPrints ID: 434598
URI: http://eprints.soton.ac.uk/id/eprint/434598
ISSN: 1499-2027
PURE UUID: e917ff97-ea98-4c8c-91e2-a27d6c8bef93

Catalogue record

Date deposited: 02 Oct 2019 16:30
Last modified: 26 Nov 2021 06:38

Export record

Altmetrics

Contributors

Author: M. A. Chesnaye
Author: S.L. Bell
Author: J.M. Harte
Author: D.M. Simpson

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×