首页> 外国专利> CLASSIFICATION METHOD FOR CEREBRAL HEMODYNAMICS PATTERNS USING NEAR INFRARED FUNCTIONAL SPECTROSCOPY.

CLASSIFICATION METHOD FOR CEREBRAL HEMODYNAMICS PATTERNS USING NEAR INFRARED FUNCTIONAL SPECTROSCOPY.

机译:近红外功能光谱的脑血流动力学模式分类方法。

摘要

The present disclosure is related to medicine, specifically, its main function is the evaluation of the cognitive response and attention by using the information of the cerebral hemodynamic response automatically. This method solves the problems of acquisition, interpretation, high cost and processing time of the techniques commonly used to determine mental states, such as functional magnetic resonance or functional electroencephalography, implementing instead, the technique of near infrared functional spectroscopy in conjunction with a hierarchical multiclass classifier based on vector support machines. The main benefit is that this classifier does not have zones that cannot be classified, common error in most hierarchical classifiers.
机译:本公开涉及医学,具体地,其主要功能是通过自动使用脑血流动力学反应的信息来评估认知反应和注意力。该方法解决了通常用于确定精神状态的技术(例如功能磁共振或功能性脑电图)的获取,解释,成本高和处理时间长的问题,取而代之地实现了将近红外功能光谱法与分层多类方法结合使用基于向量支持机的分类器。主要优点是此分类器没有无法分类的区域,这是大多数分层分类器中的常见错误。

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