Search results for "Black substance"

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Nonlinear Dynamics Techniques for the Detection of the Brain Areas Using MER Signals

2008

A methodology for identifying brain areas from the brain MER signals (microelectrode recordings) is presented, which is based on a nonlinear feature set. We propose nonlinear dynamics measures such as correlation dimension, Hurst exponent and the largest Lyapunov exponent to characterize the dynamic structure. The MER records belong to the Polytechnical University of Valencia, 24 records for each zone (black substance, thalamus, subthalamus nucleus and uncertain area). The detection of each area using characteristics derived from complexity analysis was obtained through a classifier (support vector machine). The joint information between areas is remarkable and the best accuracy result was …

Hurst exponentCorrelation dimensionbusiness.industryPattern recognitionLyapunov exponentMachine learningcomputer.software_genreSupport vector machineNonlinear systemsymbols.namesakeBlack substancesymbolsData pre-processingArtificial intelligencebusinesscomputerClassifier (UML)Mathematics2008 International Conference on BioMedical Engineering and Informatics
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