Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Preoperative volume status in vascular access creation: A despised influence?

The journal of vascular access·2026
Same author

Risk of Thromboembolic Events in Patients With Polycythemia Vera: A Real-World Observational Study.

Clinical lymphoma, myeloma & leukemia·2026
Same author

Regulation of the Yersinia pseudotuberculosis Type III Secretion System by the CpxAR Two-Component System.

Molecular microbiology·2026
Same author

Prevalence, incidence, and risk factors of secondary malignancies in patients with polycythemia vera: a real-world study.

Blood advances·2026
Same author

A Randomized Control Trial of MuST for Vascular Access Cannulation in Hemodialysis Patients: Contributions for a Safe Nursing Intervention.

Kidney medicine·2026
Same author

Effects of UV-C irradiation and Spirulina priming on physiology and sanitary quality in creole maize.

Scientific reports·2026

相关实验视频

Updated: Jul 6, 2026

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
08:25

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Published on: May 19, 2016

10.7K

探索基于EEG的大脑计算机接口的内在语音分类的试验间一致性.

Diego Lopez-Bernal1, David Balderas1, Pedro Ponce1

  • 1Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Anillo Perif. 6666, Mexico City 14380, Mexico.

Journal of neural engineering
|April 16, 2024
PubMed
概括

本研究探讨使用试验间连贯性 (ITC) 改进脑电图 (EEG) 脑电脑接口 (BCI) 进行内在语音分类,显示有希望的准确性用于通信辅助器.

科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 信号处理 信号处理

背景情况:

  • 基于脑电图 (EEG) 的脑电脑接口 (BCI) 为语言障碍者提供了沟通潜力.
  • 目前基于EEG的内在语音分类方法缺乏足够的准确性,无法在实践中应用.

研究的目的:

  • 调查试验间连贯性 (ITC) 作为一种特征提取技术的有效性,以提高基于EEG的BCI中的内言分类准确性.
  • 开发和评估一种使用ITC的新方法,以提高BCI的性能.

主要方法:

  • 开发了一种利用ITC在复杂的Morlet时间频率表示中用于特征提取的新方法.
  • 在三个会议中,分析了十名受试者的四个词的EEG录音.
  • 提取的特征使用k-最近邻居 (kNN) 和支持向量机 (SVM) 算法进行分类.

主要成果:

  • 提出的基于ITC的方法实现了kNN的平均分类准确率为56.08%,SVM的平均分类准确率为59.55%.
  • 这些结果表明表现与内部语音分类中的现有方法相比或优于现有方法.
  • 试验间阶段一致性证明了基于EEG的BCI系统的精度提高的潜力.

结论:

关键词:
这是一个EEGEEGEEGEEGEEGEEGEEG.内在的言论 内部的言论试验间的一致性.机器学习是机器学习.

更多相关视频

Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

9.0K
How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

6.6K

相关实验视频

Last Updated: Jul 6, 2026

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
08:25

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Published on: May 19, 2016

10.7K
Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

9.0K
How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

6.6K
  • 该研究引入了一种有前途的特征提取方法,使用ITC进行基于EEG的内在语音分类.
  • 这些发现表明,ITC可以显著提高BCI通信系统的准确性.
  • 这项研究为未来在内在语音解码技术方面的进步提供了基础.