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Related Concept Videos

Assessment of Respiration01:23

Assessment of Respiration

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 asthma or COPD,...
Respiratory Assessment: Purpose and Indications01:19

Respiratory Assessment: Purpose and Indications

Respiratory assessment is a cornerstone of nursing assessments, crucial for the early detection of patient deterioration. This evaluation transcends routine procedures, representing a critical skill nurses must master to ensure optimal patient care.
Objectives and Importance:
The primary goal of respiratory assessment is to evaluate patients at early risk of clinical deterioration. Since respiratory distress often precedes other signs of declining health, breathing patterns and sounds become a...
Assessment of Airway, Skin Color, and Use of Accessory Muscles01:30

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

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...
Respiratory System Abnormal Finding I: Inspection and Percussion01:30

Respiratory System Abnormal Finding I: Inspection and Percussion

Respiratory system abnormalities are a significant concern in healthcare due to their potential to indicate underlying severe conditions like Chronic Obstructive Pulmonary Disease (COPD), asthma, and pneumonia. These abnormalities can often be detected through physical examination methods like inspection and percussion.
Inspection Findings
During an inspection, several findings may suggest the presence of respiratory distress or disease. Pursed-lip breathing, where exhalation is slowed by...
Respiratory Syncytial Virus Disease01:29

Respiratory Syncytial Virus Disease

Human respiratory syncytial virus (RSV) is a widespread pathogen that primarily targets infants and young children but also poses a serious health risk to elderly and immunocompromised individuals. Belonging to the Pneumoviridae family, RSV is a negative-sense, single-stranded RNA virus within the Pneumovirus genus. Its global health burden is significant, with millions of cases annually resulting in hospitalizations and mortality, particularly in resource-limited settings. Although most...

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Related Experiment Video

Updated: Jun 13, 2026

How to Administer Near-Infrared Spectroscopy in Critically ill Neonates, Infants, and Children
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Detection of Respiratory Infections Using RGB-Infrared Sensors on Portable Device.

Zheng Jiang1,2, Menghan Hu3,2, Zhongpai Gao1,2

  • 1Institute of Image Communication and Information Processing, Shanghai Jiao Tong University Shanghai 200240 China.

IEEE Sensors Journal
|November 17, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a non-contact method using RGB-infrared sensors to screen respiratory health in masked individuals. The system achieves 83.69% accuracy, aiding early detection of potential COVID-19 carriers.

Keywords:
COVID-19 pandemicSARS-CoV-2deep learningdual-mode tomographyhealth screeningrecurrent neural networkrespiratory statethermal imaging

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Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence
  • Respiratory Medicine

Background:

  • The COVID-19 pandemic necessitates rapid detection of respiratory infections.
  • Mask-wearing is common, complicating traditional health screening methods.
  • Abnormal respiratory status is a key indicator of viral infections like COVID-19.

Purpose of the Study:

  • To develop a portable, non-contact method for screening respiratory health in individuals wearing masks.
  • To analyze respiratory characteristics using RGB-infrared sensors and machine learning.
  • To provide a tool for early detection and isolation of potential virus carriers.

Main Methods:

  • Utilized face recognition to capture respiratory data from masked individuals.
  • Employed a bidirectional GRU neural network with an attention mechanism for health status analysis.
  • Validated the system using a real-world dataset.

Main Results:

  • The model achieved 83.69% accuracy in identifying respiratory health status.
  • Sensitivity reached 90.23%, and specificity was 76.31%.
  • Demonstrated the feasibility of using portable RGB-infrared sensors for pre-screening.

Conclusions:

  • The proposed system offers a viable non-contact approach for pre-screening respiratory infections in masked populations.
  • This technology provides a foundation for clinical trials to combat the COVID-19 pandemic.
  • Highlights the potential of sensor technology and AI in public health surveillance.