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相关概念视频

Physiology of Emotion01:20

Physiology of Emotion

3.5K
The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
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Emotional Expression01:26

Emotional Expression

1.1K
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
1.1K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

14.5K
An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
14.5K
Labeling Emotion01:20

Labeling Emotion

742
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
742
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

12.8K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
12.8K
Introduction to Motivation and Emotion01:29

Introduction to Motivation and Emotion

1.3K
Motivation is a multifaceted process that drives behavior toward fulfilling various physiological or psychological needs. This process involves initiating, guiding, and maintaining specific actions influenced by internal and external factors. For example, when someone feels hungry while watching television, hunger is a motivator, prompting the individual to get up, walk to the kitchen, and find something to eat. In this instance, hunger initiates and sustains the behavior necessary to meet the...
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相关实验视频

Updated: Feb 13, 2026

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
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Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

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[基于从一维心电图中提取二维特征的情绪识别]

Siyi Wei1, Yukun An2, Jiaxue Chen1

  • 1School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210016.

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
|February 11, 2026
PubMed
概括

这项研究引入了一种使用心电图 (ECG) 信号进行客观情绪识别的新方法. 通过将1D心电图数据转换为2D图像,该方法可以增强时空特征提取,从而提高精度.

关键词:
1D-2D信号转换的方法深度学习是一种深度学习.情感识别 情感识别 情感识别波形数据包的分解

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Stable DNA Motifs, 1D and 2D Nanostructures Constructed from Small Circular DNA Molecules
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Examining Changes in HRV and Emotion Following Artmaking with Three Different Art Materials
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Examining Changes in HRV and Emotion Following Artmaking with Three Different Art Materials

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相关实验视频

Last Updated: Feb 13, 2026

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

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Stable DNA Motifs, 1D and 2D Nanostructures Constructed from Small Circular DNA Molecules
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Stable DNA Motifs, 1D and 2D Nanostructures Constructed from Small Circular DNA Molecules

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Examining Changes in HRV and Emotion Following Artmaking with Three Different Art Materials
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Examining Changes in HRV and Emotion Following Artmaking with Three Different Art Materials

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科学领域:

  • 生物医学工程 生物医学工程
  • 人工智能的人工智能
  • 信号处理 信号处理

背景情况:

  • 客观的情感识别对于医疗保健和教育等领域至关重要.
  • 电心电图 (ECG) 信号为情绪检测提供了一个可行的,用户友好的生物标志物.
  • 在使用深度学习从一维心电图信号中提取时空特征存在挑战.

研究的目的:

  • 开发一种利用心电图信号进行客观情绪识别的有效方法.
  • 解决深度学习在处理一维心电图数据方面的局限性.
  • 从心电图信号中增强时空特征的提取和融合.

主要方法:

  • 使用波形包分解的1D-2D信号转换技术被采用.
  • 一维心电图信号被转换成二维图像表示.
  • 增加了融合块模块的ResNet18架构处理了2D心电图像.

主要成果:

  • 提出的方法证明了在情绪识别任务中的性能提高.
  • 与非最佳方法相比,平均准确性和F1分数分别提高了2.19和4.48个百分点.
  • 在WESAD和SWELL-KW数据集上进行了实验.

结论:

  • 新的1D-2D心电图转换和基于ResNet18的方法显著改善了客观情绪识别.
  • 这种方法为开发先进的情绪识别系统提供技术支持.
  • 这些发现突显了心电图信号作为情感计算生物标志物的潜力.