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Real-Time Localization Algorithm of a Brain Target Area Using High Frequency Background Activity

机译:利用高频背景活动的大脑目标区域实时定位算法

摘要

The present invention relates to a real-time verification method of STN using high frequency background activity (HFBA) and a DBS operation method using the same. The HFBA of the present invention is subthalamic nucleus (STN) -specific. The background activity separation of the present invention also eliminates artifacts and spikes using a frequency cutoff ( 1,000 Hz) and an amplitude threshold (40-50 μV) To calculate the power spectral density. Furthermore, in the present invention, it is possible to measure HFBA in a real-time using a short time of not more than 1 second. Thus, the method of the present invention not only provides more objective, rapid, and effective information during DBS surgery, but also significantly improves medical results.
机译:本发明涉及使用高频背景活动(HFBA)的STN的实时验证方法和使用该实时验证的DBS操作方法。本发明的HFBA是丘脑底核(STN)特异性的。本发明的背景活性分离还使用频率截止(> 1,000Hz)和幅度阈值(40-50μV)消除了伪像和尖峰,以计算功率谱密度。此外,在本发明中,可以使用不超过1秒的短时间实时地测量HFBA。因此,本发明的方法不仅在DBS手术期间提供了更客观,快速和有效的信息,而且还显着改善了医疗效果。

著录项

  • 公开/公告号KR101548617B1

    专利类型

  • 公开/公告日2015-09-02

    原文格式PDF

  • 申请/专利权人 연세대학교 산학협력단;

    申请/专利号KR20130055533

  • 发明设计人 장진우;이배환;곽용호;

    申请日2013-05-16

  • 分类号A61B19;A61B17;A61B5/055;A61B6/03;

  • 国家 KR

  • 入库时间 2022-08-21 14:57:42

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