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NEUROZONE: On-line Recognition of Brain Structures in Stereotactic Surgery - Application to Parkinson's Disease

机译:Neuozone:立体定向手术中脑结构的在线识别 - 帕金森病的应用

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The success of stereotactic surgery for Deep Brain Stimulation depends critically on the exact positioning of a microelectrode recording in a target area of the brain. This paper presents the software system NEUROZONE composed of two main applications: first, it allows online recognition of brain structures by the analysis of signals from microelectrode recordings (MER), and second, it processes and analyses offline databases allowing the inclusion of new trained classifiers for automatic identification. The software serves as a support to the analysis done by a medical specialist during surgery, and seeks to reduce the adverse side effects that may occur because of inadequate identification of the target areas. The software also allows the specialists to label recordings obtained during surgery, in order to generate a new off-line database or increase the amount of records in an already existing off-line database. NEUROZONE has been tested for Deep Brain Stimulation performed at the Institute for Epilepsy and Parkinson of the Eje Cafetero (Colombia), achieving positive identifications of the Subthalamic Nucleus (STN) over to 85% using a naive Bayes classifier.
机译:深度脑刺激的立体定向手术的成功尺寸统治性地取决于微电极记录在脑的目标区域中的微电极记录的精确定位。本文介绍了由两个主要应用组成的软件系统:首先,它允许通过分析来自微电极记录(MER)的信号的脑结构在线识别(MER)和第二种,IT流程和分析允许包含新培训的分类器的脱机数据库用于自动识别。该软件作为在手术期间由医学专家进行的分析的支持,并寻求降低可能由于目标区域的识别不足而可能发生的不利副作用。该软件还允许专家来标记手术期间获得的录制,以便生成新的离线数据库或增加已经存在的离线数据库中的记录量。在EJE Cafetero(哥伦比亚)的癫痫和帕金森研究所进行了深脑刺激已经测试了Neurozone,使用Naive Bayes分类器将亚饱和核(STN)的阳性鉴定达到85%。

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