计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 579-583.doi: 10.11896/jsjkx.200700153

• 交叉&应用 • 上一篇    下一篇

基于Unity的神经反馈干预系统设计与实现

何艳, 张晨阳   

  1. 西安邮电大学通信与信息工程学院 西安 710121
  • 出版日期:2020-11-15 发布日期:2020-11-17
  • 通讯作者: 何艳(heyan@xupt.edu.cn)
  • 基金资助:
    国家自然科学基金(81460206);陕西省自然科学基金(2019JQ861)

Design and Implementation of Neurofeedback Intervention System Based on Unity

HE Yan, ZHANG Chen-yang   

  1. School of Communications and Information Engineering,Xi'an University of Posts & Telecommunications,Xi'an 710121,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:HE Yan,born in 1982,Ph.D,associate professor.Her main research interests include intelligent information proces-sing,complex system and complex network.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (81460206) and Shaanxi Natural Science Foundation (2019JQ861).

摘要: 大脑具有可塑性,神经反馈训练有助于大脑神经损伤康复。由于药物治疗存在耐药性等副作用,基于神经反馈的大脑康复训练是当前的研究热点。大脑调控是临床大脑疾病如孤独症和多动症的有效治疗手段,其主要通过高级认知任务训练逐步恢复大脑认知功能。认知任务训练形式多样,文中引入Unity3D游戏引擎,设计并开发了一种神经反馈治疗系统——极速赛车(Speeding)。首先,本系统在传统思维训练的基础上引入了神经反馈机制。每隔一段时间对玩家的游戏数据进行检测,根据检测情况及时调整训练难度,增强训练目的性和针对性,提高训练效率。其次,本系统引入了多任务训练机制,利用地图和宝石道具开展多任务思维训练,使玩家的注意力更加集中,提高训练的效果。通过设计不同难度的场景对应梯度阈值,引入延迟检测函数模块实时调整思维训练难度。本系统将为有效改善大脑工作状态,实现大脑神经系统康复和治疗提供技术支持。

关键词: 康复, 可塑性, 脑机接口, 神经反馈

Abstract: The plastic brain represents its cognition recovery capability from injury,and neurofeedback training can improve this recovery process efficiently.Due to the side effects including drug resistance,neurofeedback-based brain rehabilitation training attracts much attention recently in the field of brain research.As an effective treatment for clinical brain diseases such as autism and attention deficit hyperactivity disorder,brain regulation and modulation can gradually restore its cognitive function through advanced cognitive task training.There are various kinds of individual cognitive training.In this paper,the Unity3D game engine is applied to design and develop a neurofeedback therapy system which is called Speeding.Firstly,this system introduces the neural feedback mechanism apart from traditional thinking training,and the difficulty of training will be adjusted timely according to the condition detection of the brain,therefore it enhances the purpose and pertinence of brain training and then the training efficiency could be improved.Secondly,this system adopts the map and gem props to carry out multi-task thinking training,which makes the player pay closer attention so as to improve the training effect.By way of accomplishing the design of multiple scenarios corresponding to gradient training difficulties,this system enables improving the working condition of the brain as well as providing technical support for the rehabilitation and treatment of the cerebral nervous system.

Key words: Brain computer interface, Neural feedback, Plasticity, Rehabilitation

中图分类号: 

  • R318
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