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

Special considerations while measuring oxygen saturation01:19

Special considerations while measuring oxygen saturation

592
Assessing respiratory rate concurrently with pulse measurement is fundamental to patient care, providing valuable insights into the patient's respiratory function. The normal breathing rate for an adult usually falls within a normal range of 12 to 20 breaths per minute. Abnormal respiratory rates can signal underlying health conditions or the need for immediate intervention.
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
592
Alterations in Respiration II01:30

Alterations in Respiration II

868
There are numerous types of normal and abnormal respiration. Based on ventilatory movements, breathing patterns are classified as regular, deep, or shallow. Examples include Biot's breathing, Cheyne-Stokes respiration, Kussmaul's breathing, hyperventilation, and hypoventilation. Each pattern is clinically significant and aids in evaluating patients.
In Biot's breathing, the respiratory rate and depth are irregular, alternating between periods of deep gasping and apnea. Common causes...
868
Respiratory Volumes and Capacities I01:26

Respiratory Volumes and Capacities I

1.0K
Assessing the respiratory rate and rhythm for a complete minute is crucial for evaluating the breathing pattern. Even a minor increase in the patient's average respiratory rate, by as little as three to five breaths per minute, is an early and vital indicator of respiratory distress. Patients with a respiratory rate exceeding twenty-four breaths per minute require close monitoring to determine the physiological alterations. This careful observation is essential for prompt recognition and...
1.0K
Assessment of Ventilation I: Respiratory Rate01:20

Assessment of Ventilation I: Respiratory Rate

1.1K
Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
1.1K
Hyperpnea and Hyperventilation01:25

Hyperpnea and Hyperventilation

1.1K
Hyperventilation refers to a higher-than-normal rate and depth of breathing, often associated with anxiety attacks. This excessive breathing surpasses the body's need to expel CO2, leading to a condition known as hypocapnia - an unusually low level of carbon dioxide in the blood. Hypocapnia can constrict cerebral blood vessels, reducing blood flow to the brain, which may result in dizziness or fainting. Early signs include tingling and muscle spasms in the hands and face, caused by falling...
1.1K
Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

1.5K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
1.5K

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

Enhancing Safety in Hyperbaric Environments through Analysis of Autonomic Nervous System Responses: A Comparison of Dry and Humid Conditions.

Sensors (Basel, Switzerland)·2023
Same author

Monitoring of Serum Potassium and Calcium Levels in End-Stage Renal Disease Patients by ECG Depolarization Morphology Analysis.

Sensors (Basel, Switzerland)·2022
Same author

Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients.

Medical & biological engineering & computing·2017
查看所有相关文章

相关实验视频

Updated: Jul 5, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

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

Published on: June 5, 2019

19.9K

心率变量可自动识别高压状态,考虑到呼吸系统组件.

María Dolores Peláez-Coca1,2, Alberto Hernando2, María Teresa Lozano1,2

  • 1Centro Universitario de la Defensa de Zaragoza, 50090 Zaragoza, Spain.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
概括

这项研究使用心率变化 (HRV) 来检测高压室中对大气压变化的生理反应. 一个机器学习模型识别了6个异常反应的个体,建议为潜水员提供个性化的安全协议.

关键词:
自主神经系统自主神经系统心率变化的心率变化.高压环境的高压环境.正交子空间投影的直角化科目分类对象的分类.

更多相关视频

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

1.8K
Quantitative Autonomic Testing
11:40

Quantitative Autonomic Testing

Published on: July 19, 2011

56.9K

相关实验视频

Last Updated: Jul 5, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

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

Published on: June 5, 2019

19.9K
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

1.8K
Quantitative Autonomic Testing
11:40

Quantitative Autonomic Testing

Published on: July 19, 2011

56.9K

科学领域:

  • 生理监测是指对身体进行生理监测.
  • 生物医学工程 生物医学工程
  • 环境生理学环境生理学

背景情况:

  • 了解对不同大气压的生理反应对于潜水和高压环境中的安全至关重要.
  • 心率变化 (HRV) 分析提供了一种非侵入性方法来评估在压力下自主神经系统的功能.

研究的目的:

  • 使用HRV识别具有独特的生理反应对高压条件的个体.
  • 开发一个自动化系统来监测大气压暴露及其对生理参数的影响.
  • 探索个体特征 (性别,经验) 和生理反应之间的潜在关联.

主要方法:

  • 28名志愿者在一个干燥的高压室中暴露在1到5大气压下.
  • 用九个参数分析心率变化 (HRV),包括呼吸和频率组成部分.
  • 使用k-最近邻居分类器,根据HRV数据确定大气压水平.

主要成果:

  • 该分类器在使用呼吸率,心率和交感响应频率参数来区分5ATM和3ATM压力时达到88.5%的准确性.
  • 在28名受试者中,有6名在所有测试的压力水平上表现出异常的生理反应.
  • 两名异常反应的受试者被认为是女性,潜水经验较少,尽管他们的沉浸反应正常.

结论:

  • 自动化HRV监测可以有效地检测对大气压变化的生理反应.
  • 一个子集的个体表现出明显的生理反应,对高压条件.
  • 调查结果表明,根据性别和经验等个体因素,潜水员的安全协议可能需要量身定制.