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

Instrumentation Amplifier01:25

Instrumentation Amplifier

An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...

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

MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus-OCT Fusion.

Journal of imaging·2026
Same author

DiagPat: An Explainable Language Detection Model Using EEG Signals.

Sensors (Basel, Switzerland)·2026
Same author

Different pattern: a new EEG-based method for mental performance detection.

BMC medical informatics and decision making·2026
Same author

Artificial Intelligence in Renal Imaging: A Multi-Dataset Study for Kidney Disease Classification.

Biomedicines·2026
Same author

PyramidPat explainable feature engineering for multiclass electroencephalography psychiatric disorders: Explainable feature engineering and classification.

Psychiatry research·2026
Same author

Operational Transformer: An investigation of epilepsy detection.

Brain topography·2026
Same journal

Correction: Luca et al. Global and Regional Diagnostic Results of Progress Toward Cervical Cancer Elimination, According to the WHO Strategy: A Systematic Literature Review with Narrative Synthesis. <i>Diagnostics</i> 2026, <i>16</i>, 1224.

Diagnostics (Basel, Switzerland)·2026
Same journal

Association Between Systemic Inflammatory Response Biomarkers and Disease Activity in Systemic Lupus Erythematosus: A Multi-Center Retrospective Study.

Diagnostics (Basel, Switzerland)·2026
Same journal

Vertebrogenic Low Back Pain and Basivertebral Nerve Ablation: A Review of Mechanisms, Imaging-Driven Selection, and Clinical Outcomes.

Diagnostics (Basel, Switzerland)·2026
Same journal

Multivalvular Carcinoid Heart Disease: The Role of Echocardiography in Diagnosis and Selection for Heterotopic Bicaval Valve Implantation.

Diagnostics (Basel, Switzerland)·2026
Same journal

Data-Efficient and Explainable Multimodal Survival Prediction in NSCLC Using Deep Image Embeddings, Clinical Variables, and Gradient-Boosted Trees.

Diagnostics (Basel, Switzerland)·2026
Same journal

Anomalous Left Coronary Artery from the Pulmonary Artery: Cinematic Volume Rendering Technique for Enhanced Anatomic Visualization.

Diagnostics (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 25, 2026

A Free-breathing fMRI Method to Study Human Olfactory Function
10:42

A Free-breathing fMRI Method to Study Human Olfactory Function

Published on: July 30, 2017

10.2K

张量CSBP:用于EEG气味检测的张量中心对称特征提取器.

Irem Tasci1, Ilknur Sercek2, Yunus Talu2

  • 1Department of Neurology, School of Medicine, Firat University, Elazig 23119, Turkey.

Diagnostics (Basel, Switzerland)
|March 14, 2026
PubMed
概括
此摘要是机器生成的。

我们开发了一种新方法,Tensor Center-Symmetric Binary Pattern (TensorCSBP),用于从EEG信号中分类气味. 这种可解释的方法实现了高精度,为大脑-计算机接口和临床应用提供了潜力.

关键词:
导演的 游说集团电脑脑电图 (EEG) 气味检测检测器电脑电图信号分类 电脑电图信号分类张量器CSBPBP 这是一个可以解释的特征工程.

更多相关视频

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

3.3K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.1K

相关实验视频

Last Updated: Jun 25, 2026

A Free-breathing fMRI Method to Study Human Olfactory Function
10:42

A Free-breathing fMRI Method to Study Human Olfactory Function

Published on: July 30, 2017

10.2K
Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

3.3K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.1K

科学领域:

  • 神经科学是一个神经科学.
  • 信号处理 信号处理
  • 机器学习 机器学习

背景情况:

  • 从脑电图 (EEG) 信号中准确地分类气味至关重要,但由于特征可解释性和张量级实现而受到限制.
  • 像局部二进制模式 (LBP) 这样的现有方法缺乏足够的解释性,以获得对气味处理的神经科学洞察力.

研究的目的:

  • 介绍张量中心对称二进制模式 (TensorCSBP) 作为一种基于张量器的新型特征提取器,用于EEG气味分析.
  • 开发一个可解释特征工程 (XFE) 管道,以加强基于EEG的气味分类.

主要方法:

  • 拟议的TensorCSBP方法被集成到一个四步XFE管道中:TensorCSBP特征生成,CWNCA特征选择,tkNN分类和DLob符号解释性.
  • 该管道在一个新的32通道EEG数据集上进行了评估,该数据集专门用于气味检测任务.

主要成果:

  • TensorCSBP XFE管道在气味检测任务中实现了96.68%的高精度,通过十倍交叉验证进行了验证.
  • 计算出DLob符号序列的信息为3.5675,表明了丰富的可解释性输出.

结论:

  • 这项研究为基于EEG的气味分类提供了一个高度准确,可解释和计算高效的模型.
  • TensorCSBP有效地将低级信号模式与象征性神经科学见解联系起来,展示了实时脑计算机接口 (BCI) 和临床应用的潜力.