Application of Adaptive Classification of Tensotremorograms for Revealing the Pathological States of Human Motor Control System

Y. A. Kuperin; A. S. Minin; A. A. Mekler; S. P. Romanov

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Application of Adaptive Classification of Tensotremorograms for Revealing the Pathological States of Human Motor Control System

机译：张力颤动图的自适应分类在揭示人体运动控制系统病理状态中的应用

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摘要

In this paper the adaptive binary classifier is applied for the classification of the lensolrem-orogramm (TTG) time series. The idea is to reveal pathological states of human motor control system. Adaptive binary classifier being a new type of trained classifiers can be trained on the data for healthy subjects. Then the trained classifier can be used for the examinees division into healthy and sick patients. It is shown, that the trained adaptive binary classifier is able to classify the patients with acceptable accuracy. Other method of classification-Neural Clouds-has also been used. The comparison both methods has been done.

机译：在本文中，自适应二进制分类器被应用到晶状体-眼球图（TTG）时间序列的分类中。这个想法是揭示人体运动控制系统的病理状态。自适应二进制分类器是一种新型的训练分类器，可以针对健康受试者的数据进行训练。然后，训练有素的分类器可用于将考生划分为健康和患病患者。结果表明，训练有素的自适应二进制分类器能够以可接受的准确度对患者进行分类。还使用了其他分类方法-神经云。两种方法的比较已经完成。

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来源
《Optical memory & neural networks》 |2009年第4期|304-311|共8页
作者
Y. A. Kuperin; A. S. Minin; A. A. Mekler; S. P. Romanov;
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作者单位

Saint-Petersburg State University;

OOO Siemens, Monitoring and Preventive Control;

Institute of Human Brain RAS;

Pavlov Institute of Physiology RAS;

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原文格式 PDF
正文语种 eng
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关键词
neural network; tremor; parkinson disease; classification; isometric muscle force; adaptive binary classifier method; neural clouds binary classifier method;

机译：神经网络;震颤帕金森综合症;分类;等轴测肌力;自适应二进制分类器方法神经云二进制分类器方法;

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7. Application of adaptive classification of tensotremorograms for revealing the pathological states of human motor control system [O] . Y. A. Kuperin, A. S. Minin, A. A. Mekler, 2009

机译：张力畸形图的适应性分类在揭示人机控制系统病理状态下的应用

Application of Adaptive Classification of Tensotremorograms for Revealing the Pathological States of Human Motor Control System

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