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相关概念视频

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

2.6K
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,...
2.6K
Regulation of Heart Rates01:31

Regulation of Heart Rates

1.7K
The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...
1.7K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

4.8K
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...
4.8K
Regulation of Pulse01:20

Regulation of Pulse

1.3K
Pulse regulation involves physiological mechanisms that ensure adequate blood flow throughout the body. The heartbeat, regulated by the autonomic nervous system, is influenced by hormonal balance, physical activity, and emotional state.
1.3K
Pulse rhythm01:30

Pulse rhythm

786
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...
786
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

752
Cardiac Output
Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart...
752

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相关实验视频

Updated: Jun 26, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

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心率变化有助于对系统性硬化症的表型进行分类.

Stéphane Delliaux1,2,3,4, Abdou Khadir Sow5,6, Anass Echcherki7

  • 1INSERM, INRAE, C2VN, Aix Marseille Univ, Marseille, France. stephane.delliaux@univ-amu.fr.

Scientific reports
|May 15, 2024
PubMed
概括

这项研究开发了一种使用心率变化 (HRV) 来分类系统性硬化症 (SSc) 亚型的床边工具. 该工具使用非线性HRV标记器准确区分扩散皮肤SSc (dcSSc) 和有限皮肤SSc (lcSSc).

关键词:
心血管功能是什么心血管功能心率变化心率的变化.机器学习是机器学习.非线性动力学是一种非线性动力学.系统性硬化症 系统性硬化症

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科学领域:

  • 心脏病学 心脏病学
  • 自主神经系统研究 自主神经系统研究
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 系统性硬化症 (SSc) 是一种复杂的自身免疫性疾病,具有不同的亚型.
  • 精确的SSc亚型的分类,如扩散皮肤SSc (dcSSc) 和有限皮肤SSc (lcSSc),对于患者的管理至关重要.
  • 目前的诊断方法可能缺乏用于快速分类型差异化的临床应用.

研究的目的:

  • 在患者的床边开发和验证一种分类工具,以区分dcSSc和lcSSc亚型.
  • 调查心率变化 (HRV) 参数在区分SSc亚型中的有用性.
  • 确定最有效的基于HRV的模型,用于SSc亚型分类.

主要方法:

  • 在58名SSc患者 (16 dcSSc,38 lcSSc) 中,比较了5分钟的休息和静止心率变化 (HRV).
  • 从节拍到节拍RR间隔使用时间,频率和非线性域分析HRV.
  • 评估了341个分类模型,使用各种HRV变量组合和算法,评估F1得分和准确性等性能指标.

主要成果:

  • 与lcSSc组相比,dcSSc组在休息和静止条件下表现出更高的心率和更低的HRV.
  • 在DCSSc和lcSSc组之间,站立动作明显改变了特定的HRV指数 (sd_HR,SD2,CorDim).
  • 最好的分类模型使用4个HRV变量实现了0.947的F1最大得分,其中sd_HR,SD2和CorDim具有高度的区别性.

结论:

  • 开发了高性能,床边适用的分类模型,以区分dcSSc和lcSSc.
  • 这些模型利用1-5非线性HRV指数作为对心脏活动自主影响的标记.
  • 这种基于HRV的方法为SSc亚型分类提供了一个有希望的,非侵入性的方法.