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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,...
Sleep Apnea01:21

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
Neural Control of Respiration01:18

Neural Control of Respiration

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...
Pulse Oximetry01:24

Pulse Oximetry

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

Assessment of Ventilation II: Respiratory Depth and Rhythm

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:
Assessment of Ventilation I: Respiratory Rate01:20

Assessment of Ventilation I: Respiratory Rate

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:

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Related Experiment Video

Updated: Jun 18, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

A visual context-awareness-based sleeping-respiration measurement system.

Yung-Ming Kuo1, Jiann-Shu Lee, Pau-Choo Julia Chung

  • 1Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan. ymkuo@ee.ncku.edu.tw

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|November 13, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a visual system for monitoring elderly sleep and respiration. The context-aware system accurately measures respiration, addressing a gap in elderly healthcare technology.

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Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
08:34

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

Published on: September 16, 2019

Related Experiment Videos

Last Updated: Jun 18, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
08:34

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

Published on: September 16, 2019

Area of Science:

  • Biomedical Engineering
  • Gerontology
  • Health Informatics

Background:

  • The aging global population necessitates advancements in elderly healthcare, particularly in monitoring systems.
  • Existing sleeping care systems for the elderly are limited, creating a need for innovative solutions.
  • Accurate measurement of physiological signals like respiration is crucial for effective elderly sleep monitoring.

Purpose of the Study:

  • To propose and evaluate a novel visual context-aware system for measuring respiration in elderly individuals during sleep.
  • To address the challenge of accurate respiration measurement by incorporating contextual information.
  • To develop a non-intrusive monitoring solution for elderly sleep care.

Main Methods:

  • Development of a visual context-aware-based sleeping-respiration measurement system.
  • Implementation of a body-motion-context-detection subsystem.
  • Integration of a respiration-context-detection subsystem and a fast motion-vector-estimation-based respiration measurement subsystem.

Main Results:

  • The proposed system demonstrated accurate respiratory measurements in the study population.
  • The context-aware approach enhanced the precision of respiration monitoring.
  • The system effectively captured respiration information by considering various sleeping contexts.

Conclusions:

  • The developed visual context-aware system is effective for measuring elderly respiration during sleep.
  • This technology offers a promising solution for improving sleep care for the elderly population.
  • Further research can explore integration into comprehensive elderly health monitoring platforms.