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相关概念视频

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

6.1K
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...
6.1K
Electrocardiogram01:29

Electrocardiogram

2.4K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
2.4K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

1.1K
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....
1.1K
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

2.7K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
2.7K
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

23
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
23
Pulse rhythm01:30

Pulse rhythm

814
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
814

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相关实验视频

Updated: Jul 12, 2025

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

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基于心率变量的心电图多情感识别信号特征采矿采矿

Ling Wang1, Jiayu Hao1, Tie Hua Zhou1

  • 1Department of Computer Science and Technology, School of Computer Science, Northeast Electric Power University, Jilin 132013, China.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了一种使用心率变化 (HRV) 来识别情绪的新方法. 通过分析本地HRV信号特征,HRV情感识别 (HER) 方法实现了84.3%的准确性.

科学领域:

  • 生理学 生理学 生理学
  • 心理学 心理学 心理学
  • 计算机科学 计算机科学

背景情况:

  • 心率变化 (HRV) 反映了自主神经系统的功能及其与情绪的联系.
  • 当前的HRV情绪识别方法往往忽略了局部信号特征,限制了信息利用.

研究的目的:

  • 通过增强特征提取,提出一种使用HRV进行情感识别的有效方法.
  • 为了提高从生理信号识别情绪的准确性和效率.

主要方法:

  • 开发了HRV情感识别 (HER) 方法,将广度级量化 (ALQ) 纳入特征提取.
  • 使用情绪量化分析 (EQA) 来评估情绪兴奋.
  • 使用后勤回归 (LR) 来对提取的HRV特征进行分类.

主要成果:

  • 提出的 HER 方法在情绪识别方面实现了 84.3% 的平均准确率.
  • HER方法有效地提取和利用不同频率范围内的HRV信号中的局部特征.
  • 与现有的基于HRV的情绪识别技术相比,表现出优异的性能.

结论:

  • HER方法提供了一种高效和准确的方法,用于使用HRV识别情绪.
关键词:
幅度级量化量子化 幅度级量化情感识别 情感识别 情感识别特性提取 特性提取心率变化的心率变化.逻辑回归的逻辑回归方法

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  • 这种技术增强了本地HRV信号信息的利用,以更好地检测情绪.
  • 为心理学,医学和情感计算领域的研究提供了宝贵的支持.