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Alterations in Respiration II01:30

Alterations in Respiration II

810
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...
810
Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

1.4K
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:
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Physical Assessment of the Respiratory Tract II: Inspection01:27

Physical Assessment of the Respiratory Tract II: Inspection

220
Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
Chest Configuration
The chest configuration...
220
Breathing01:05

Breathing

58.2K
The process of breathing, inhaling and exhaling, involves the coordinated movement of the chest wall, the lungs, and the muscles that move them. Two muscle groups with important roles in breathing are the diaphragm, located directly below the lungs, and the intercostal muscles, which lie between the ribs. When the diaphragm contracts, it moves downward, increasing the volume of the thoracic cavity and creating more room for the lungs to expand. When the intercostal muscles contract, the ribs...
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Mechanism of Breathing I: Inspiration01:30

Mechanism of Breathing I: Inspiration

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Introduction to Inspiration: The Respiratory System in Action
The respiratory system, an essential network for breathing, comprises the conducting and respiratory zones, each playing a crucial role in the overall process of respiration. Let us explore the detailed mechanism of inspiration, or inhalation, which is the first phase of the respiratory cycle.
Pathway of Air during Inspiration
During inspiration, air enters our body through the nose or mouth and moves through the conducting zone,...
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相关实验视频

Updated: May 27, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

624

DABiG:使用混合深度学习与最佳特征选择的混合深度学习进行呼吸模式分类.

P Kaleeswari1, R Ramalakshmi2, T Arun Prasath3

  • 1Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India.

Technology and health care : official journal of the European Society for Engineering and Medicine
|February 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究使用传感器数据和一种新型深度学习模型,DABIG,来对呼吸模式进行分类. 适应性黑猩猩优化 (AdCO) 算法增强了特征选择,以提高呼吸分析的准确性.

关键词:
适应性黑猩猩优化优化双重的注意力 双重的注意力混合深度学习是混合深度学习.军事呼吸模式分析最小至最大的正常化.

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Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
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Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns

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相关实验视频

Last Updated: May 27, 2025

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科学领域:

  • 生物医学工程 生物医学工程
  • 可穿戴技术可穿戴技术
  • 机器学习用于健康

背景情况:

  • 呼吸模式反映了情绪和身体健康.
  • 对呼吸模式的分析提供了对健康状况的见解.

研究的目的:

  • 使用传感器数据对各种呼吸模式进行分类.
  • 开发一个全面的方法来识别呼吸模式.

主要方法:

  • 利用来自两个传感器的陀螺仪和加速度计数据用于六种呼吸模式.
  • 应用Min-Max规范化用于数据预处理.
  • 引入了适应性黑猩猩优化 (AdCO) 用于特征选择.
  • 开发了一种混合深度学习模型,DABIG,采用双向门式循环单元 (BiGRU).

主要成果:

  • 阿德科展示了增强的融合和全球最佳特征选择.
  • DABiG模型包含了空间和时间注意力机制.
  • 注意力机制改善了对相关数据区域和时间步骤的关注.

结论:

  • 空间和时间注意力机制显著增强特征提取.
  • 拟议的方法提高了呼吸模式分类的准确性.
  • 这种方法提供了一个强大的工具,通过呼吸来分析生理和情绪状态.