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

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

Satellites reveal contrasting seasonal buffering patterns of global lakes and reservoirs.

Science bulletin·2026
Same author

Author Correction: Inhibition of fatty acid uptake by TGR5 prevents diabetic cardiomyopathy.

Nature metabolism·2026
Same author

China's freshwater lake storage hotspots revealed by bathymetry and typology mapping.

National science review·2026
Same author

Serial assessment of serum HMGB1 and ΔSOFA for predicting 28-day mortality in sepsis patients: a prospective cohort study in the emergency department.

BMC emergency medicine·2026
Same author

Glycosylation Profiles in Cardiovascular Diseases: A Bibliometric Analysis.

Health data science·2026
Same author

GRSF1 Protects Against Heart Failure by Maintaining BCAA Homeostasis.

Circulation·2026
Same journal

The Need for Demonstrated Clinical Translational Evidence in Submissions to the IEEE Journal of Translational Engineering in Health and Medicine.

IEEE journal of translational engineering in health and medicine·2026
Same journal

Accuracy of Quantifying Hypotension During Surgery Using Physiological Sensor Data.

IEEE journal of translational engineering in health and medicine·2026
Same journal

Analyzing Gait Pattern Associated With Neuropsychiatric Symptoms in Parkinson's Disease by a Comprehensive Approach.

IEEE journal of translational engineering in health and medicine·2026
Same journal

Multimodal Patient-Specific Identification of Atrial Flutter Circuits From ECG Time Series Using Explainable Machine Learning.

IEEE journal of translational engineering in health and medicine·2026
Same journal

Innovative Wearable Platform for Synchronized Biosignals Acquisition: A Proof of Concept in a Cuff-Less Blood Pressure Monitoring Case Study.

IEEE journal of translational engineering in health and medicine·2026
Same journal

Development of a Realistic Physical Phantom for Laparoscopic and Robotic-Assisted Sacrocolpopexy Training and Associated.

IEEE journal of translational engineering in health and medicine·2026
查看所有相关文章

相关实验视频

Updated: Mar 3, 2026

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

28.0K

通过休息状态和任务状态集成与空间时间特征减少,通过fNIRS-based MCI检测进行了改进.

Chutian Zhang1,2, Hongjun Yang2,3, Jiaxing Wang2,3

  • 1Department of Engineering ScienceFaculty of Innovation EngineeringMacau University of Science and Technology Macau China.

IEEE journal of translational engineering in health and medicine
|March 2, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了使用功能近红外光谱学 (fNIRS) 准确检测轻度认知障碍 (MCI) 的新框架. 该方法整合了休息状态和任务状态的大脑数据,提高了早期痴呆症检测的诊断准确性.

关键词:
功能维度缩小功能维度缩小基于fNIRS的MCI诊断是基于fNIRS的机器学习是机器学习.空间波器的空间波器时间特征选择时间特征选择

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.4K
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

3.8K

相关实验视频

Last Updated: Mar 3, 2026

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

28.0K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.4K
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

3.8K

科学领域:

  • 神经科学是一个神经科学.
  • 医疗技术 医疗技术 医学技术
  • 机器学习 机器学习

背景情况:

  • 轻度认知障碍 (MCI) 是痴呆症的前体,需要早期检测才能进行干预.
  • 功能近红外光谱学 (fNIRS) 提供了一种非侵入性方法来监测大脑活动.
  • 目前使用fNIRS进行MCI检测的机器学习方法存在数据不足和高维度问题.

研究的目的:

  • 开发一个时空特征工程框架,以使用fNIRS改进MCI分类.
  • 为了解决利用补充休息状态和任务状态fNIRS数据不足的局限性.
  • 为了减少特征维度,为了更强大和更普遍的MCI检测模型.

主要方法:

  • 使用独立组件分析 (ICA) 来从静止状态的fNIRS信号中推导空间波器.
  • 通过集群主体特定的过器来创建一个通用的人口级别过器集,以将空间特征与任务状态信号隔离开来.
  • 时间特征选择识别了具有歧视性的任务唤起的时间点,减少了MCI检测的维度.

主要成果:

  • 该框架在将认知正常的个人与患有MCI的个人分类时实现了90.91%的准确性.
  • 实现了 91.07% 的显著特征维度减少.
  • 分析显示,在认知任务中,与MCI生物标志物和关键时间决策点相关的通用空间过器.

结论:

  • 拟议的框架有效地整合了休息状态和任务状态的fNIRS数据,以加强MCI检测.
  • 减小尺寸导致基于fNIRS的MCI分类的准确性和可解释性更高.
  • 这一进步为可通用的MCI检测和有效的临床数据扩展带来了潜力.