Tracking rhythm in long-term EEG recordings using empirical mode calculation

Author

Lipping, Tarmo ; Anier, Andres ; Rätsep, Indrek ; Kleemann, Piret ; Toome, Valdo ; Jäntti, Ville

Author_Institution

Information Technology, Pori, Tampere University of Technology, P.O.Box 300, 28101, Finland

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

3604

Lastpage

3607

Abstract

A novel algorithm for the detection and tracking of rhythmic patterns in the EEG signal is presented. The algorithm includes the following steps: 1) linear filtering using symmetric impulse response, 2) calculation of the first intrinsic mode of the filter output and 3) calculation of instantaneous frequency and amplitude using the Hilbert transform. The linear filter is adapted according to the instantaneous frequency. The algorithm is shown to perform well in tracking the alpha rhythm (the alpha coma pattern) in critically ill patients sedated with midazolam.

Keywords

Electroencephalography; Filtering algorithms; Finite impulse response filter; Image analysis; Maximum likelihood detection; Nonlinear filters; Rhythm; Signal processing algorithms; Signal resolution; Time frequency analysis; Algorithms; Brain; Critical Illness; Electroencephalography; Humans; Hypnotics and Sedatives; Midazolam; Models, Statistical; Models, Theoretical; Monitoring, Physiologic; Pattern Recognition, Automated; Reproducibility of Results; Signal Processing, Computer-Assisted; Software;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649986

Filename

4649986