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A new nonlinear approach is presented for high-frequency electrocorticography (ECoG)-based diagnosis of epilepsy. The ECoG data from 3 patients with epilepsy are analyzed in this study. A recently developed algorithm in graph theory, visibility graph (VG), is applied in this research. The approach is based on the key discovery that high-frequency oscillation takes place during epileptic seizure, making it a marker of epilepsy. Therefore, the nonlinear property of the high-frequency signal may be more noticeable. Hence, a complexity measure, called graph index complexity (GIC), is computed using the VG of the patients' high-frequency ECoG subband. After comparison and statistical analysis, the nonlinear feature is proved to be effective in detection and location of the epilepsy. Two different traditional complexities, sample entropy and Lempel-Ziv, were also calculated to make a comparison and prove that GIC provides better identification.

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A size-based blood cell sorting model with a micro-fence structure is proposed in the frame of immersed boundary and lattice Boltzmann method (IB-LBM). The fluid dynamics is obtained by solving the discrete lattice Boltzmann equation, and the cells motion and deformation are handled by the immersed boundary method. A micro-fence consists of two parallel slope post rows which are adopted to separate red blood cells (RBCs) from white blood cells(WBCs), in which the cells to be separated are transported one after another by the flow into the passageway between the two post rows. Effected by the cross flow, RBCs are schemed to get through the pores of the nether post row since they are smaller and more deformable compared with WBCs. WBCs are required to move along the nether post row till they get out the micro-fence. Simulation results indicate that for a fix width of pores, the slope angle of the post row plays an important role in cell sorting. The cells mixture can not be separated properly in a small slope angle, while obvious blockages by WBCs will take place to disturb the continuous cell sorting in a big slope angle. As an optimal result, an adaptive slope angle is found to sort RBCs form WBCs correctly and continuously.