Abstract
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.
Original language | English |
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Title of host publication | 2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011 |
Pages | 416-419 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 1 Dec 2011 |
Externally published | Yes |
Event | 2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011 - San Diego, CA, United States Duration: 10 Nov 2011 → 12 Nov 2011 |
Conference
Conference | 2011 IEEE Biomedical Circuits and Systems Conference, BioCAS 2011 |
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Country/Territory | United States |
City | San Diego, CA |
Period | 10/11/11 → 12/11/11 |