Application of spectral entropy to EEG and facial EMG frequency bands for the assessment of level of sedation in ICU

R. Rautee, T. Sampson, M. Särkelä, S. Melto, S. Hovilehto, M. Van Gils

Research output: Contribution to journalConference articleScientificpeer-review

10 Citations (Scopus)

Abstract

The applicability and performance of spectral entropy as a measure of the depth of sedation was studied by comparison to the Richmond sedation and agitation scale (RASS). A biopotential signal was measured from the forehead of eight ICU patients. From this biopotential four different frequency bands were defined using trend fitting to the low and high frequency limits of the pooled power spectra, two frequency bands representing EEC and the other two representing fEMG. The spectral entropy from the EEG bands correlated very well with the sedation levels of RASS. From levels 0 to -5 the decrease was almost linear (r=0.51 and r=0.53). A similar comparison for the spectral entropy of the fEMG bands did not produce any clear correlation (r=0.07 for both fEMG bands), however there was still some clear interaction at some levels. It seems that the RASS is dependent upon both EEG and fEMG effects. That is; RASS is related to both cortical and sub-cortical components of sedation.

Original languageEnglish
Pages (from-to)3481-3484
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 V
Publication statusPublished - 2004
Externally publishedYes
Publication typeNot Eligible
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: 1 Sept 20045 Sept 2004

Keywords

  • EEG
  • EMG
  • ICU
  • RASS
  • Sedation
  • Spectral entropy

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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