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
2007
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
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.
.
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), Bled, Slovenia, 2007-06-09 - 2007-06-13
Organisations:
Human Sciences Group
Identifiers
Local EPrints ID: 49412
URI: http://eprints.soton.ac.uk/id/eprint/49412
ISBN: 9789616456296
PURE UUID: bd0e0a16-c800-41a9-908c-c23de556d9aa
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Date deposited: 09 Nov 2007
Last modified: 09 Jan 2022 03:10
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Contributors
Author:
J. Lv
Author:
A.J. Manders
Editor:
Dušan Butinar
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