Least-squares deconvolution of evoked potentials and sequence optimization for multiple stimuli under low-jitter conditions

Highlights • The proposed least-squares (LS) deconvolution is based on a combination of convolution theory and squared error minimization. • The LS deconvolution can be applied to low-jittered sequences containing multiple stimuli. • Optimization of the stimulus sequence allows a better recovery of...

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Bibliographic Details
Published inClinical neurophysiology Vol. 125; no. 4; pp. 727 - 737
Main Authors Bardy, Fabrice, Dillon, Harvey, Van Dun, Bram
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.04.2014
Subjects
Brain - physiology
Computer Simulation
Electroencephalography
Evoked Potentials - physiology
Humans
Least-squares (LS) deconvolution
Low-jitter
Models, Theoretical
Multiple stimuli
Neurology
Noise
Optimization of stimulus sequence
Physical Stimulation
Multiple stimuli
Low-jitter
Optimization of stimulus sequence
Least-squares (LS) deconvolution
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Summary:Highlights • The proposed least-squares (LS) deconvolution is based on a combination of convolution theory and squared error minimization. • The LS deconvolution can be applied to low-jittered sequences containing multiple stimuli. • Optimization of the stimulus sequence allows a better recovery of response.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1388-2457
1872-8952
DOI:10.1016/j.clinph.2013.09.030