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

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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Veröffentlicht in:Clinical neurophysiology 2014-04, Vol.125 (4), p.727-737
Hauptverfasser: Bardy, Fabrice, Dillon, Harvey, Van Dun, Bram
Format: Artikel
Sprache:eng
Schlagworte:
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
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Zusammenfassung: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.
ISSN:1388-2457
1872-8952
DOI:10.1016/j.clinph.2013.09.030