【摘 要】
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This talk reports the novel applications of the sample entropy and regularity dimension models for measuring signal complexity to quantify the structural complexity of the brain on magnetic resonance
【机 构】
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The University of Aizu Japan
论文部分内容阅读
This talk reports the novel applications of the sample entropy and regularity dimension models for measuring signal complexity to quantify the structural complexity of the brain on magnetic resonance imaging (MR1).The concept of the regularity dimension is based on the theory of chaos for studying nonlinear dynamical systems.
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