首页> 外文会议>International Conference on Developments in eSystems Engineering >Restrictions of the Measurement System and a Patient When Using Visually Evoked Potentials
【24h】

Restrictions of the Measurement System and a Patient When Using Visually Evoked Potentials

机译:使用视觉诱发电位时测量系统和患者的限制

获取原文

摘要

The article covers methods of visually evoked potentials selection, problems and restrictions on usage of methods for evoked potentials definition, restrictions imposed on a patient. The authors unravel relevance of the humanmachine neurocomputer interaction tasks, provide a description of the main approaches and basic training and management methods, denote pain points and requirements in this field, inter alia when developing and attempting to advance efficiency of the robot system management methods. Current work presents comparison of the main selection methods of well-established visually evoked potentials based on The Minimum energy combination method, Canonical correlation analysis and Multivariate synchronization index method. The result of the authors’ research is recommendations on usage of any given methods of visually evoked potentials selection subject to terms and conditions of usage, restrictions imposed on the methods and these imposed on patients when it comes to usage of neurocomputer interfaces; the values obtained are of a considerable practical importance because they could be used for neurocomputer interface forming up on the basis of visually evoked potentials and could be used in future for developing of the management theory of robot system of various purpose and for realization of decisions on human-machine interaction arrangement within restricted practical tasks.
机译:本文涵盖了视觉诱发电位选择方法,问题和对诱发电位定义方法使用的限制以及对患者的限制。作者阐明了人机神经计算机交互任务的相关性,提供了主要方法,基本培训和管理方法的说明,指出了该领域的痛点和要求,尤其是在开发和尝试提高机器人系统管理方法的效率时。当前的工作提出了基于最小能量组合法,规范相关分析和多元同步指数法的已建立的视觉诱发电位的主要选择方法的比较。作者的研究结果是对使用视觉电势选择的任何给定方法的使用提出了建议,但要遵循使用的条款和条件,对该方法施加的限制以及在使用神经计算机接口时对患者施加的这些限制;所获得的值具有很大的实际意义,因为它们可用于在视觉诱发电位的基础上形成神经计算机接口,并可在将来用于开发各种目的的机器人系统管理理论并实现对机器人的决策。在受限的实际任务中的人机交互安排。

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