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A bootstrap approach to the detection of auditory evoked potentials

A bootstrap approach to the detection of auditory evoked potentials
A bootstrap approach to the detection of auditory evoked potentials
Auditory Evoked potentials are often evaluated subjectively (by visual inspection) and considerable differences between interpretations can occur. Objective, automated methods are normally based on calculating one or more parameters from the data, but only some of these techniques can provide statistical significance (p-values) for the presence of a response. The bootstrap method can be used to provide such p-values; it 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 [1]. It can compare estimators for detecting responses and it can also estimate a criterion value for response detection corresponding to any chosen significance level, so avoiding the need for elaborate theoretical calculations of criterion values. We have applied the bootstrap approach to detect hearing thresholds with both the Auditory Brainstem Response (ABR) [2] and the Slow Vertex Response (SVR). For the ABR data, time-domain detection algorithms including (amongst others) the Fsp [3] and ± difference [4] were compared. For the SVR data both time-domain and frequency-domain techniques (such as magnitude-squared coherence [5]) were compared. This paper summarises the findings of these analyses. The flexibility of the approach is illustrated, showing how it can be used with different parameters, numbers of stimuli and with user-defined false-positive rates. The bootstrap method provides a new, simple and yet powerful means of detecting evoked potentials, which is very flexible and readily adapted to a wide variety of signal parameters.
9789616456296
87
Slovene Society for Clinical Neurophysiology of the Slovene Medical Association
Bell, S.L.
91de0801-d2b7-44ba-8e8e-523e672aed8a
Lv, J.
d6e2f118-553d-4bc5-a9fa-e3544d556e83
Manders, A.J.
68dad415-f30a-4665-a751-96f8fa993327
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Butinar, Dušan
Bell, S.L.
91de0801-d2b7-44ba-8e8e-523e672aed8a
Lv, J.
d6e2f118-553d-4bc5-a9fa-e3544d556e83
Manders, A.J.
68dad415-f30a-4665-a751-96f8fa993327
Simpson, D.M.
53674880-f381-4cc9-8505-6a97eeac3c2a
Butinar, Dušan

Bell, S.L., Lv, J., Manders, A.J. and Simpson, D.M. (2007) A bootstrap approach to the detection of auditory evoked potentials. Butinar, Dušan (ed.) In XX IERASG Biennial Symposium: Programme and Book of Abstracts. Slovene Society for Clinical Neurophysiology of the Slovene Medical Association. p. 87 .

Record type: Conference or Workshop Item (Paper)

Abstract

Auditory Evoked potentials are often evaluated subjectively (by visual inspection) and considerable differences between interpretations can occur. Objective, automated methods are normally based on calculating one or more parameters from the data, but only some of these techniques can provide statistical significance (p-values) for the presence of a response. The bootstrap method can be used to provide such p-values; it 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 [1]. It can compare estimators for detecting responses and it can also estimate a criterion value for response detection corresponding to any chosen significance level, so avoiding the need for elaborate theoretical calculations of criterion values. We have applied the bootstrap approach to detect hearing thresholds with both the Auditory Brainstem Response (ABR) [2] and the Slow Vertex Response (SVR). For the ABR data, time-domain detection algorithms including (amongst others) the Fsp [3] and ± difference [4] were compared. For the SVR data both time-domain and frequency-domain techniques (such as magnitude-squared coherence [5]) were compared. This paper summarises the findings of these analyses. The flexibility of the approach is illustrated, showing how it can be used with different parameters, numbers of stimuli and with user-defined false-positive rates. The bootstrap method provides a new, simple and yet powerful means of detecting evoked potentials, which is very flexible and readily adapted to a wide variety of signal parameters.

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More information

Published date: 2007
Venue - Dates: XX Biennial Symposium of the International Evoked Response Audiometry Study Group (IERASG), 2007-06-10 - 2007-06-14
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 49412
URI: https://eprints.soton.ac.uk/id/eprint/49412
ISBN: 9789616456296
PURE UUID: bd0e0a16-c800-41a9-908c-c23de556d9aa

Catalogue record

Date deposited: 09 Nov 2007
Last modified: 13 Mar 2019 20:54

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