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Patients' EEG Analysis Based on Multi-indicator Dynamic Analysis Measure for Supporting Brain Death Determination.

, and . ISNN, volume 10878 of Lecture Notes in Computer Science, page 824-833. Springer, (2018)

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Special Issue on Brain Machine/Computer Interface and its Application., , , , and . J. Robotics Mechatronics, 32 (4): 723 (2020)Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation., , , , and . ICONIP (1), volume 9947 of Lecture Notes in Computer Science, page 138-146. (2016)An Application of Translation Error to Brain Death Diagnosis., and . ICONIP (1), volume 7062 of Lecture Notes in Computer Science, page 314-321. Springer, (2011)Dynamic Extension of Approximate Entropy Measure for Brain-Death EEG., , , , and . ISNN (2), volume 6064 of Lecture Notes in Computer Science, page 353-359. Springer, (2010)Dimension Reduction of RCE Signal by PCA and LPP for Estimation of the Sleeping., , , and . ISNN (3), volume 6677 of Lecture Notes in Computer Science, page 306-312. Springer, (2011)Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population., , , , , and . Neurocomputing, 73 (13-15): 2665-2670 (2010)Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition., , , and . CoRR, (2018)Patients' consciousness analysis using dynamic approximate entropy and MEMD method., , , , and . APSIPA, page 1-5. IEEE, (2013)Brain image completion by Bayesian tensor decomposition., , and . DSP, page 1-4. IEEE, (2017)An EEG diagnosis system for quasi brain death based on complexity and energy analyses., , and . EMBC, page 7132-7135. IEEE, (2013)