Assessment of the depth of anesthesia based on symbolic dynamics of the EEG

Author

Tupaika, Nadine ; Vallverdu, Montserrat ; Jospin, Mathieu ; Jensen, Erik W. ; Struys, Michel M R F ; Vereecke, Hugo E M ; Voss, Andreas ; Caminal, Pere

Author_Institution

Dept. ESAII, Univ. Politec. de Catalunya, Barcelona, Spain

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

5971

Lastpage

5974

Abstract

Methodologies based on symbolic dynamics have successfully demonstrated to reflect the nonlinear behavior of biological signals. In the present study, symbolic dynamics was applied to the electroencephalogram (EEG) in order to describe the level of depth of anesthesia. The EEG was transformed to symbol sequences. Words of three symbols were built from this symbolic series. The results obtained from the EEGs of 36 patients undergoing anesthesia showed that the probabilities of the word types were able to reflect the depth of anesthesia in a similar way to the auditory evoked potential index AAI, a commercial index.

Keywords

drugs; electroencephalography; medical signal processing; probability; EEG; anesthesia; auditory evoked potential index AAI; electroencephalogram; probability; symbol sequences; symbolic dynamics; symbolic series; Anesthesia; Electroencephalography; Entropy; Indexes; Monitoring; Probability; Adult; Anesthesia; Discriminant Analysis; Electroencephalography; Entropy; Female; Humans; Middle Aged; Propofol; Time Factors; Young Adult;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5627574

Filename

5627574