Objective detection of auditory brainstem responses using a bootstrap technique
Objective detection of auditory brainstem responses using a bootstrap technique
Auditory Evoked Potentials (AEPs) measure the responses from the auditory nervous system structures following presentation of an acoustic stimulus (clicks or tone-burst). The aim of this work is to investigate new methods to objectively detect the responses.
A novel bootstrap technique was proposed, allowing the statistical significance (p-value) to be estimated for a wide range of different signal parameters, and detect the response in an easy and very flexible manner. The bootstrap method is based on randomly resampling (with replacement) the original data and gives an estimate of the probability that the response obtained is due to random variation in the data rather than a physiological response. Furthermore, the bootstrap technique provides a simple way to compare different methods for response detection using p-values.
A modified bootstrap method with three artefact rejection schemes was then proposed and they can efficiently eliminate the effect of stimulus and/or movement artefacts. This modification makes the bootstrap procedures more effective to deal with ‘real data’ from patients, where artefacts are often present.
The performance of the bootstrap method was evaluated on simulated signals by receiver operating characteristic (ROC) analysis and compared with other methods. On data recorded from normal-hearing volunteers, the techniques provided similar hearing thresholds to those obtained by visual inspection of the auditory brainstem response (ABR). The flexibility of this approach allows the method to be used with a range of parameters, numbers of sweeps, and with user-defined false positive rates.
University of Southampton
Lv, Jing
43baf461-cab1-459f-95e5-1733cf72c7c3
2007
Lv, Jing
43baf461-cab1-459f-95e5-1733cf72c7c3
Lv, Jing
(2007)
Objective detection of auditory brainstem responses using a bootstrap technique.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
Auditory Evoked Potentials (AEPs) measure the responses from the auditory nervous system structures following presentation of an acoustic stimulus (clicks or tone-burst). The aim of this work is to investigate new methods to objectively detect the responses.
A novel bootstrap technique was proposed, allowing the statistical significance (p-value) to be estimated for a wide range of different signal parameters, and detect the response in an easy and very flexible manner. The bootstrap method is based on randomly resampling (with replacement) the original data and gives an estimate of the probability that the response obtained is due to random variation in the data rather than a physiological response. Furthermore, the bootstrap technique provides a simple way to compare different methods for response detection using p-values.
A modified bootstrap method with three artefact rejection schemes was then proposed and they can efficiently eliminate the effect of stimulus and/or movement artefacts. This modification makes the bootstrap procedures more effective to deal with ‘real data’ from patients, where artefacts are often present.
The performance of the bootstrap method was evaluated on simulated signals by receiver operating characteristic (ROC) analysis and compared with other methods. On data recorded from normal-hearing volunteers, the techniques provided similar hearing thresholds to those obtained by visual inspection of the auditory brainstem response (ABR). The flexibility of this approach allows the method to be used with a range of parameters, numbers of sweeps, and with user-defined false positive rates.
Text
1040584.pdf
- Version of Record
More information
Published date: 2007
Identifiers
Local EPrints ID: 466111
URI: http://eprints.soton.ac.uk/id/eprint/466111
PURE UUID: f0be5cd3-2744-4b64-8ffa-5c0cbaecfd5a
Catalogue record
Date deposited: 05 Jul 2022 04:22
Last modified: 16 Mar 2024 20:31
Export record
Contributors
Author:
Jing Lv
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