Measures of linear and nonlinear interdependence of electrocortigram time series from evoked-response potential experiments

Author

Kramer, M.A. ; Edwards, E. ; Soltani, M. ; Knight, R.T. ; Berger, M.S. ; Szeri, A.J.

Author_Institution

Program in Appl. Sci. & Technol., California Univ., Berkeley, CA, USA

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

558

Lastpage

561

Abstract

In this brief discussion, we consider various coupling measures applied to electrocortigram (ECoG) data. The analysis consists of both linear and nonlinear measures of coupling - or interdependence - between two ensembles of measurements collected at two electrodes in an evoked-response potential (ERP) experiment. The interdependence measures are applied to simulated time series data and experimental ECoG data. The algorithms discussed here are implemented in the interactive data language (IDL) and available for download from the authors.

Keywords

bioelectric potentials; biomedical electrodes; electrocardiography; medical signal processing; time series; electrocortigram coupling; electrodes; evoked-response potential; interactive data language; linear electrocortigram time series interdependence; nonlinear electrocortigram time series interdependence; Computational modeling; Couplings; Enterprise resource planning; Humans; Mechanical engineering; Mechanical variables measurement; Neuroscience; Psychology; Time measurement; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403218

Filename

1403218