Cross-recurrence rate for discriminating 'concious' and 'unconcious' state in propofol general anesthesia

This paper introduces the use of cross recurrence rate (CRR) for discriminating between `conscious' and `unconscious' state from the electrical brain activity (EEG) of patients under general anesthesia. CRR measures the bivariate dependencies between two time series by looking at recurrenc...

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Bibliographic Details
Main Authors: Nicolaou, N., Georgiou, J., Hourris, S., Alexandrou, P.
Format: Conference Proceeding
Language:English
Subjects:
Anesthesia
Electrodes
Electroencephalography
Monitoring
Support vector machines
Surgery
Time series analysis
Online Access:Request full text
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Summary:This paper introduces the use of cross recurrence rate (CRR) for discriminating between `conscious' and `unconscious' state from the electrical brain activity (EEG) of patients under general anesthesia. CRR measures the bivariate dependencies between two time series by looking at recurrences of the phase space from one system to the other. Here, the feasibility of pairwise electrode CRR to discriminate `conscious' and `unconscious' state is investigated using the EEG of 10 subjects during recovery of consciousness from general anesthesia with propofol. Performance is investigated with a Support Vector Machine. An average accuracy of 98% is obtained.
ISSN:2163-4025
2766-4465
DOI:10.1109/BioCAS.2011.6107816