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Quantitative Characterization of the Complexity of Multichannel Human EEGs

机译:多通道人类脑电图的复杂性的定量表征

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We again stress that complexity measures of this class provide an empirical measure of signal behavior without an explicit indication of dynamical structure. While recognizing this limitation, we nonetheless conclude that measures of this type can be effective in identifying behaviorally dependent changes in multichannel EEGs. As will be described, these measures can then be used in the clinical signal classification problems of diagnosis and prognosis.
机译:我们再次强调,此类的复杂度度量提供了信号行为的经验度量,而没有明确指示动态结构。在认识到这种局限性的同时,我们仍然得出结论,这种类型的措施可以有效地识别多通道脑电图中行为相关的变化。如将要描述的,然后可以将这些措施用于诊断和预后的临床信号分类问题。

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