Literature DB >> 17271036

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

R Rautee1, T Sampson, M Sarkela, S Melto, S Hovilehto, M van Gils.   

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 EEG 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.

Entities:  

Year:  2004        PMID: 17271036     DOI: 10.1109/IEMBS.2004.1403977

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Entropy correlates with Richmond Agitation Sedation Scale in mechanically ventilated critically ill patients.

Authors:  Ankur Sharma; Preet Mohinder Singh; Anjan Trikha; Vimi Rewari
Journal:  J Clin Monit Comput       Date:  2014-04       Impact factor: 2.502

2.  Multi-feature characterization of epileptic activity for construction of an automated internet-based annotated classification.

Authors:  R Arvind; B Karthik; Natarajan Sriraam
Journal:  J Med Syst       Date:  2010-09-04       Impact factor: 4.460

3.  An assessment of the validity of spectral entropy as a measure of sedation state in mechanically ventilated critically ill patients.

Authors:  Timothy S Walsh; Pamela Ramsay; T Petteri Lapinlampi; Mika O K Särkelä; Hanna E Viertiö-Oja; Pekka T Meriläinen
Journal:  Intensive Care Med       Date:  2007-09-27       Impact factor: 17.440

4.  Spectral entropy as a monitor of depth of propofol induced sedation.

Authors:  Padraig Mahon; Robert G Kowalski; Anthony P Fitzgerald; Elaine M Lynch; Geraldine B Boylan; Brian McNamara; George D Shorten
Journal:  J Clin Monit Comput       Date:  2008-02-06       Impact factor: 2.502

5.  Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High Frequencies.

Authors:  Umberto Melia; Montserrat Vallverdú; Xavier Borrat; Jose Fernando Valencia; Mathieu Jospin; Erik Weber Jensen; Pedro Gambus; Pere Caminal
Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

  5 in total

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