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

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

6.5K
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...
6.5K
Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

1.7K
Following these guidelines can help nurses accurately measure vital signs, assess changes in patient conditions, and provide timely treatment when necessary. Adhering closely to the guidelines ensures the accuracy and reliability of the results.
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
1.7K
Introduction to Vital Signs01:25

Introduction to Vital Signs

2.3K
Vital signs are physiological measurements that help key into the status of the body's essential functions. These include body temperature, pulse rate, respiratory rate, and blood pressure, commonly abbreviated as T, P, R, and BP. Some healthcare settings also consider oxygen saturation (SpO2) and, in specific contexts, pain and level of consciousness as additional vital signs.
Vital signs help healthcare professionals assess an individual's well-being and detect any functional changes...
2.3K
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

2.8K
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,...
2.8K

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

Successes and Challenges in Implementing Stepped Care for Mental Health in Jordan: A Qualitative Process Evaluation.

Nursing & health sciences·2025
Same author

Quantum quench dynamics of geometrically frustrated Ising models.

Nature communications·2024
Same author

Intelligent Human Operator Mental Fatigue Assessment Method Based on Gaze Movement Monitoring.

Sensors (Basel, Switzerland)·2024
Same author

AI-Based Approach to One-Click Chronic Subdural Hematoma Segmentation Using Computed Tomography Images.

Sensors (Basel, Switzerland)·2024
Same author

Remote Heart Rate Estimation Based on Transformer with Multi-Skip Connection Decoder: Method and Evaluation in the Wild.

Sensors (Basel, Switzerland)·2024
Same author

High gain differentiator based neuro-adaptive arbitrary order sliding mode control design for MPE of standalone wind power system.

PloS one·2024

相关实验视频

Updated: Jul 16, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K

基于机器学习的驾驶员行为和生命体征之间的相关性分析:方法和案例研究.

Walaa Othman1, Batol Hamoud1, Alexey Kashevnik1,2

  • 1Saint Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 St. Petersburg, Russia.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

这项研究分析了驾驶员状态,车辆机动和外部事件. 研究结果显示,超车等行为与心率等生理征兆之间的相关性较弱,这表明了先进驾驶员安全系统的潜力.

关键词:
相关性分析的相关性分析.驾驶员的机动驾驶员的机动驾驶行为 驾驶行为外部事件 外部事件机器学习是机器学习.重要标志 重要标志

更多相关视频

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.4K
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

161

相关实验视频

Last Updated: Jul 16, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K
Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.4K
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

161

科学领域:

  • 在汽车安全方面的生理监测.
  • 驾驶员行为分析和生物识别.
  • 人与计算机在车辆中的互动.

背景情况:

  • 越来越多的交通事故需要了解驾驶员的状态.
  • 现有的研究经常将单个生理征兆与驾驶条件联系起来.
  • 缺乏对驾驶员状态,机动和外部事件的全面分析.

研究的目的:

  • 分析驾驶员状态 (生命体征,头部/眼睛姿势) 和车辆/外部事件之间的相关性.
  • 开发和整合用于估计驾驶员状态和环境因素的模型.
  • 确定加强车载安全系统的关键关系.

主要方法:

  • 使用机内视频检查生命体征,估计头部/眼睛姿势.
  • 采用机外视频和传感器数据用于外部事件和驾驶员操作.
  • 开发了CNN,BiLSTM和决策树模型用于事件/机动分类.
  • 计算所有估计和检测变量之间的相关性矩阵.

主要成果:

  • 在机动/超越事件和心率/血压之间发现了微弱的相关性.
  • 头部起伏角度和超车事件之间存在相关性.
  • 在缩血压和车辆附近之间观察到负相关性.

结论:

  • 驾驶员的机动和外部事件,如超车引发生理压力 (心率,血压).
  • 头部姿势的变化与特定的驾驶事件相关.
  • 这些发现支持开发复杂的安全系统,以在关键事件期间管理驾驶员状态.