Human ECoG analysis during speech perception using matching pursuit: a comparison between stochastic and dyadic dictionaries

Author

Ray, Supratim ; Jouny, Christophe C. ; Crone, Nathan E. ; Boatman, Dana ; Thakor, Nitish V. ; Franaszczuk, Piotr J.

Author_Institution

Dept. of Neurology, Johns Hopkins Sch. of Med., Baltimore, MD, USA

Volume

50

Issue

12

fYear

2003

Firstpage

1371

Lastpage

1373

Abstract

We use the matching pursuit (MP) algorithm to detect induced gamma activity in human EEG during speech perception. We show that the MP algorithm is particularly useful for detecting small power changes at high gamma frequencies (>70 Hz). We also compare the performance of the MP using a stochastic versus a dyadic dictionary and show that despite the frequency bias the time-frequency power plot (averaged over 100 trials) generated by the dyadic MP is almost identical (>98.5%) to the one generated by the stochastic MP. However, the dyadic MP is computationally much faster than the stochastic MP.

Keywords

electroencephalography; hearing; spectral analysis; speech processing; stochastic processes; time-frequency analysis; 70 Hz; dyadic dictionaries; electrocorticographic signals; frequency bias; high gamma frequencies; human ECoG analysis; human EEG; induced gamma activity; linear biosignal analysis; matching pursuit algorithm; small power changes; speech perception; stochastic dictionaries; time-frequency decomposition; time-frequency power plot; Dictionaries; Frequency; Gamma ray detection; Gamma ray detectors; Humans; Matching pursuit algorithms; Power generation; Pursuit algorithms; Speech analysis; Stochastic processes; Algorithms; Auditory Cortex; Electroencephalography; Evoked Potentials, Auditory; Humans; Signal Processing, Computer-Assisted; Speech Perception;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2003.819852

Filename

1246376