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Nonlinear entropy analysis for detecting focal cerebral ischemia

With an experimental model for SD (Sparague-Sawley) rat focal cerebral ischemia presented, the EEG signals from ischemic region and normal region are extracted. Then two entropy estimation methods, approximate entropy (ApEn) and power spectral entropy (PSE) are proposed to analyze EEG signals. Results show that the EEG signals from ischemic region and normal region can be distinguished by the ApEn and PSE analyses and they can be used to detect both the extent and location of focal ischemic cerebral injury.