Electroencephalogram artifact correction application for anesthetic depth monitoring
Keywords:
Electroencephalogram, Anesthetic depth assessment, Empirical modes decompositionAbstract
OBJECTIVE: To propose a method based on empirical mode decomposition (EMD) algorithm for the correction of eye and cardiac artifacts presents in the electroencephalogram (EEG).
METHODS: For the artifact correction partial reconstruction of signal were apply the discarding all those components that may contain artifact information. After the proposed correction method is evaluated using artificially contaminated EEG signals. Similitude and correlation criteria were applied between the method outcomes and the original EEG. Finally correction method was incorporated into an anesthesia monitoring system. To evaluate the system outcomes enhancement, these were compares before and after apply the artifact correction.
RESULTS: EEG artifact correction method outcomes preserve overall analyzed records a correlation of 89.7 % and medium similitude value of 0.75 compared the original EEG. The anesthesia monitoring system shows an enhancement of 27.4 % after apply artifact correction. Demonstrating, the superior performance of the anesthetic monitoring proposed methods after artifacts correction.
CONCLUSIONS: The EEG has become one of the most used method in the surgical practice for to quantify the anesthetic depth. But the accuracy of diagnosis made from this signal can be compromised by the appearance of artifacts in the EEG record. Ocular and cardiac artifacts are most frequent and problematic.
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References
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