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Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

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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
Neural Control of Respiration01:18

Neural Control of Respiration

2.4K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
2.4K
Pulse Oximetry01:24

Pulse Oximetry

328
Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
328
Assessment of Respiration01:23

Assessment of Respiration

1.1K
The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
1.1K
Assessment of Airway, Skin Color, and Use of Accessory Muscles01:30

Assessment of Airway, Skin Color, and Use of Accessory Muscles

998
A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...
998
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

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相关实验视频

Updated: Jun 29, 2025

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

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一个基于加速器的可穿戴贴片,用于使用深度学习强大的呼吸率和喘息检测.

Brian Sang1, Haoran Wen2, Gregory Junek2

  • 1School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.

Biosensors
|March 27, 2024
PubMed
概括
此摘要是机器生成的。

一个新的可穿戴加速计贴片使用深度学习客观地检测喘息和呼吸速率. 该系统提供精确的,远程患者呼吸道疾病监测,优于传统方法.

关键词:
加速计接触式麦克风 接触式麦克风喘 喘 是一种慢性阻塞性肺病 (COPD) 是一种慢性阻塞性肺病.深度学习是一种深度学习.患者远程监控 (RPM) 的方法喘着口气,喘着口气,喘着口气.

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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
  • 呼吸系统医学 呼吸系统医学

背景情况:

  • 喘息是呼吸系统疾病的关键症状,如喘和COPD.
  • 目前的诊断依赖于主观的医生听觉.
  • 需要对呼吸道疾病进行客观的远程监测.

研究的目的:

  • 开发一个低调的可穿戴设备,用于客观地检测喘息.
  • 为了使呼吸模式的远程患者监测 (RPM) 成为可能.
  • 利用深度学习进行准确的喘息和呼吸速率分析.

主要方法:

  • 开发了一种基于加速度计的微型可穿戴贴片,以捕捉肺引起的振动 (PIVs).
  • 在52名呼吸系统患者的PIV数据上训练并验证了一个深度学习模型.
  • 性能与确定性时间频率方法和数字耳鼻腔镜进行了比较.

主要成果:

  • 深度学习模型实现了95%的准确性,96%的灵敏性和93%的喘检测特异性 (AUC 0.99).
  • 该系统准确地捕获了不同患者群体的呼吸喘息和呼吸模式.
  • 加速度计贴片的性能优于数字耳语镜,并且不受环境噪音的影响.

结论:

  • 带有深度学习的可穿戴加速度计系统为客观的喘息检测提供了强大的解决方案.
  • 这项技术使得高准确度的远程患者监测呼吸系统的条件.
  • 它在主观听觉和现有的数字工具上提供了显著的进步.