• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2016 Medical Technologies National Congress >Classification of EEG synchronization values of obsessive compulsive disorders patients using Support Vector Machine Method
【24h】

Classification of EEG synchronization values of obsessive compulsive disorders patients using Support Vector Machine Method

机译：支持向量机方法对强迫症患者的EEG同步值分类

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Obsessive Compulsive Disorders causes disruptive effect on brain oscillations. One of this disruptive effects is loss of synchronization. Global Field Synchronization indice that is calculated by Global Field Synchronization Method can detect degree of synchronization of EEG. According to analysis results, significantly difference was found between Global Field Synchronization Indice of OCD patients and healthy group in theta and delta frequency bands. For the purpose of testing success of GFS method in detecting OCD, GFS values of OCD patients and healthy group classified with Support Vector Machine method. In order to increase the performance of classification model, training and test data was selected by Cross Validation Method. Accuracy rate of classification results was found at 94.75 in delta band and 78.048 percent in theta band. The system can assist the physicians for diagnosing OCD. The classification results has shown that GFS is a successful method for to diagnose OCD.
机译：强迫症会对大脑的振动产生破坏性影响。这种破坏性影响之一是失去同步。通过全局场同步方法计算出的全局场同步指标可以检测出脑电图的同步程度。根据分析结果，在θ和δ频段上，强迫症患者的整体场同步指数与健康组之间存在显着差异。为了检验GFS方法在检测OCD中是否成功，采用支持向量机方法对OCD患者和健康人群的GFS值进行了分类。为了提高分类模型的性能，通过交叉验证法选择训练和测试数据。分类结果的准确率在三角带为94.75，在三角带为78.048％。该系统可以协助医生诊断强迫症。分类结果表明，GFS是诊断OCD的成功方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号