[1]李凌,张婷婷,谢珂.基于Unity3D的脑电图检测与分析虚拟仿真实验项目的设计和开发[J].中国医学物理学杂志,2021,38(5):631-637.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.020]
 LI Ling,ZHANG Tingting,XIE Ke.Design and development of a Unity3D-based virtual simulation experiment platform for electroencephalogram detection and analysis[J].Chinese Journal of Medical Physics,2021,38(5):631-637.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.020]
点击复制

基于Unity3D的脑电图检测与分析虚拟仿真实验项目的设计和开发()
分享到:

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第5期
页码:
631-637
栏目:
医学信号处理与医学仪器
出版日期:
2021-05-01

文章信息/Info

Title:
Design and development of a Unity3D-based virtual simulation experiment platform for electroencephalogram detection and analysis
文章编号:
1005-202X(2021)05-0631-07
作者:
李凌张婷婷谢珂
电子科技大学生命科学与技术学院, 四川 成都 610054
Author(s):
LI Ling ZHANG Tingting XIE Ke
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
关键词:
脑电生物医学信号处理Unity3DC#交互式现代教学手段
Keywords:
electroencephalogram biomedical signal processing Unity3D C# interactive modern teaching method
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2021.05.020
文献标志码:
A
摘要:
依托国家精品资源共享课程《生物医学信号处理》,利用三维虚拟现实开发技术(Unity3D),以C#为脚本语言,开发了脑电图检测与分析虚拟仿真实验平台。该平台通过交互式的实验流程、可视化的数据分析、生动形象的结果展示,可以让学生在有限的课程时间里真实体验脑电图检测和分析这一复杂的实验操作过程,对脑电图检测与分析进行更全面深入的学习,从而提高学生基本的实验操作与数据分析能力。最后,本文详细地介绍了实验流程的总体框架和软件系统模块设计,为虚拟仿真技术在教学上的应用和推广提供了重要参考。
Abstract:
Based on the national excellent resource sharing course "Biomedical Signal Processing", 3D virtual reality development technology (Unity3D) and C# as the scripting language are used to develop a virtual simulation experiment platform for electroencephalogram(EEG) detection and analysis. The platform allows students to truly experience the complicated experimental operations of EEG detection and analysis in a limited course time through interactive experimental processes, visual data analysis and vivid results display. The more comprehensive and in-depth study on EEG detection and analysis contributes to improving the basic experimental operations and data analysis capabilities of students. Finally, the overall framework of experimental process and the design of software system modules are introduced in details. The study provides important references for the application and promotion of virtual simulation technology in teaching.

相似文献/References:

[1]杨芳,李涛.基于能量特征和模糊熵的睡眠自动分期[J].中国医学物理学杂志,2017,34(9):968.[doi:DOI:10.3969/j.issn.1005-202X.2017.09.022]
 [J].Chinese Journal of Medical Physics,2017,34(5):968.[doi:DOI:10.3969/j.issn.1005-202X.2017.09.022]
[2]丁正敏,熊冬生,陈宇珂,等. 基于脑电样本熵和小波熵的麻醉深度监测[J].中国医学物理学杂志,2018,35(2):243.[doi:DOI:10.3969/j.issn.1005-202X.2018.02.024]
 DING Zhengmin,XIONG Dongsheng,CHEN Yuke,et al. Sample entropy and wavelet entropy of electroencephalogram for monitoring the depth of anesthesia[J].Chinese Journal of Medical Physics,2018,35(5):243.[doi:DOI:10.3969/j.issn.1005-202X.2018.02.024]
[3]欧朗,赵越,李晓欧.NIRS-EEG联合检测技术在脑功能分析中的研究进展[J].中国医学物理学杂志,2020,37(10):1323.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.019]
 OU Lang,ZHAO Yue,LI Xiaoou.Advances of near infrared spectroscopy combined with electroencephalogram in brain function analysls[J].Chinese Journal of Medical Physics,2020,37(5):1323.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.019]
[4]杨兰,随力,刘亮,等.不同视错觉刺激诱发的事件相关电位的脑电研究进展[J].中国医学物理学杂志,2021,38(5):613.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.017]
 YANG Lan,SUI Li,LIU Liang,et al.Advances in research on event-related potentials evoked by different visual illusions[J].Chinese Journal of Medical Physics,2021,38(5):613.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.017]
[5]陈枭宇,随力,李丽.脑电神经反馈训练在提高工作记忆中应用的研究与挑战[J].中国医学物理学杂志,2022,39(8):987.[doi:DOI:10.3969/j.issn.1005-202X.2022.08.012]
 CHEN Xiaoyu,SUI Li,LI Li.Advances and challenges of EEG neurofeedback training in improving working memory[J].Chinese Journal of Medical Physics,2022,39(5):987.[doi:DOI:10.3969/j.issn.1005-202X.2022.08.012]
[6]王冲,周静,李文豪,等.脑电在脑卒中运动功能评估中的应用研究进展[J].中国医学物理学杂志,2023,40(10):1309.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.020]
 WANG Chong,ZHOU Jing,LI Wenhao,et al.Application of electroencephalography in assessment of motor function in stroke patients: a review[J].Chinese Journal of Medical Physics,2023,40(5):1309.[doi:DOI:10.3969/j.issn.1005-202X.2023.10.020]

备注/Memo

备注/Memo:
【收稿日期】2020-12-05 【基金项目】电子科技大学2019年研究生教研教改项目(19023901002020);电子科技大学2019年度虚拟仿真实验教学项目(1902370100110) 【作者简介】李凌,博士,教授,研究方向:生物医学信号处理,E-mail: liling@uestc.edu.cn
更新日期/Last Update: 2021-05-31