Jove
Visualize
联系我们

相关概念视频

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

7.0K
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,...
7.0K
Pulse rhythm01:30

Pulse rhythm

1.5K
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...
1.5K
Regulation of Heart Rates01:31

Regulation of Heart Rates

4.3K
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...
4.3K

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

TFDISNet: Temporal-frequency domain-invariant and domain-specific feature learning network for enhanced auditory attention decoding from EEG signals.

Biomedical physics & engineering express·2025
Same author

[Pancreas segmentation with multi-channel convolution and combined deep supervision].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2025
Same author

A temporal-spatial feature fusion network for emotion recognition with individual differences reduction.

Neuroscience·2025
Same author

Joint low-rank tensor fusion and cross-modal attention for multimodal physiological signals based emotion recognition.

Physiological measurement·2024
Same author

URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation.

Computer methods and programs in biomedicine·2024
Same author

Cerebral asymmetry representation learning-based deep subdomain adaptation network for electroencephalogram-based emotion recognition.

Physiological measurement·2024
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

相关实验视频

Updated: Mar 1, 2026

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

3.2K

[基于频率调节和多尺度时空建模的远程心率估计方法]

Shenyang Sui1, Yongxiong Wang1, Mengqing Geng1

  • 1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|February 27, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的远程心率估计方法,使用频率调节和多尺度建模来克服运动工件和个体变异,显著提高数据集的准确性.

关键词:
频率调节的规范化规范化多层次的时空空间特征融合.遥控光电解声学 遥控光电解声学

更多相关视频

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.1K
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

1.2K

相关实验视频

Last Updated: Mar 1, 2026

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

3.2K
Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.1K
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

1.2K

科学领域:

  • 生物医学工程 生物医学工程
  • 信号处理 信号处理
  • 计算机视觉 计算机视觉

背景情况:

  • 远程光波立体图 (rPPG) 容易在现实环境中发现运动物体和生理变异.
  • 现有的rPPG方法与噪声和个体差异作斗争,限制了它们的实际应用.

研究的目的:

  • 开发一种先进的rPPG方法,能够应对复杂的环境干扰和个体生理差异.
  • 为了提高远程心率估计的稳定性和跨数据集的概括性.

主要方法:

  • 一个频率调节的正常化模块被设计为通过强调主导的心率频率来抑制噪音.
  • 一个多层次的时空特征融合模块,具有多尺度的卷积和跨层集成,捕获各种生理信号.
  • 在时空建模中使用动态加权来改进长期依赖性分析.

主要成果:

  • 拟议的方法证明了跨数据集的卓越性能,减少了rPPG心率估计中的平均绝对误差 (MAE).
  • 在培训PURE和测试UBFC-rPPG时,MAE从1.31降至1.28.
  • 在UBFC-rPPG训练和PURE测试时,MAE从0.97降至0.82,超过了最先进的方法.

结论:

  • 频率调节和多尺度时空建模方法显著提高了rPPG的准确性和稳定性.
  • 该方法在复杂的现实场景中为远程心率监测提供了更好的稳定性和可用性.
  • 这项工作推进了rPPG方法,特别是在具有挑战性的条件下基于脉冲波的心率估计.