Detection of evoked responses by bootstrap methods: new parameters and ROC analysis
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- Author(s): J. Lv 1 ; D.M. Simpson 1 ; S.L. Bell 1
- Conference: IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing
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Source:
IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing,
January 2006
page
44
Affiliations:
1:
Signal Process. & Control Group, Southampton Univ.
, UK
- DOI: 10.1049/cp:20060382
- ISBN: 0 86341 658 6
- Location: Glasgow, UK
- Conference date: 17-19 July 2006
- Format: PDF
The aim of this work is to describe and evaluate extensions to a bootstrap technique for detecting ABRs. These methods give significance levels (p-values) for: 1) the correlation coefficient between repeated measurements of the ABR, and 2) the mean absolute value of the ABR. Monte-Carlo simulations of the EEG with and without added 'responses' were used to estimate ROC curves and compare the techniques. The methods were also used to estimate hearing thresholds in 12 normal-hearing subjects. The correlation coefficient was found to provide rather poorer results than the mean absolute value both in simulations and in human recordings. The latter method gave hearing thresholds that are similar (or better) than human observers in visual inspection of the ABR. (5 pages)
Inspec keywords: Monte Carlo methods; auditory evoked potentials; sensitivity analysis; medical signal processing; medical signal detection; electroencephalography
Subjects: Monte Carlo methods; Probability theory, stochastic processes, and statistics; Digital signal processing; Fluctuation phenomena, random processes, and Brownian motion; Electrodiagnostics and other electrical measurement techniques; Biology and medical computing; Auditory effects of noise; Signal detection; Electrical activity in neurophysiological processes; Bioelectric signals; Monte Carlo methods
