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Related Concept Videos

Alterations in Respiration II01:30

Alterations in Respiration II

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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...
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Respiratory Volumes and Capacities I01:26

Respiratory Volumes and Capacities I

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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...
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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:
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Assessment of Ventilation I: Respiratory Rate01:20

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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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Factors Affecting Respiration01:24

Factors Affecting Respiration

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Respiration is a crucial physiological function involving exchanging oxygen (O2) and carbon dioxide (CO2) between an organism and its environment. Various factors can impact this essential process:
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Assessment of Respiration01:23

Assessment of Respiration

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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...
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Related Experiment Video

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Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
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Using ECG-derived respiration for explaining BOLD-fMRI fluctuations during rest and respiratory modulations.

Inês Esteves1, Ana R Fouto2,3, Amparo Ruiz-Tagle2,4

  • 1ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal. ines.esteves@edu.ulisboa.pt.

Scientific Reports
|November 11, 2025
PubMed
Summary

Extracting respiration data from electrocardiogram (ECG) signals during fMRI is possible without extra equipment. This ECG-derived respiration (EDR) method benefits simultaneous EEG-fMRI studies by providing valuable physiological noise correction.

Keywords:
ECG-derived respiration (EDR)Electrocardiogram (ECG)Functional magnetic resonance imaging (fMRI)RespirationRespiratory fluctuationResting state

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Area of Science:

  • Neuroimaging
  • Physiological Monitoring
  • Biomedical Engineering

Background:

  • Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are powerful tools for neuroscience research.
  • Recording physiological signals like respiration during fMRI is crucial but complicates setup and participant comfort.
  • Electrocardiogram (ECG) is often recorded in EEG-fMRI studies, offering a potential source for respiration data.

Purpose of the Study:

  • To investigate the feasibility of deriving respiratory signals from ECG recordings within an fMRI environment.
  • To evaluate different methods for extracting ECG-derived respiration (EDR) signals.
  • To assess the utility of EDR signals for physiological noise correction and cerebrovascular reactivity estimation in EEG-fMRI.

Main Methods:

  • Acquired simultaneous EEG, fMRI, ECG, and respiratory data from 15 healthy subjects.
  • Applied multiple algorithms to extract EDR signals from ECG data.
  • Compared EDR signals with simultaneously recorded respiration data.
  • Evaluated EDR-derived regressors for fMRI denoising and cerebrovascular reactivity estimation.

Main Results:

  • Amplitude-based EDR methods showed reduced correlation with respiration, likely due to MRI-induced ECG distortion.
  • Coherence analysis confirmed that EDR signals retained relevant spectral information.
  • EDR-based regressors were comparable to those derived from measured respiration.
  • A heart rate variability-based EDR method yielded the best overall performance for noise correction and reactivity estimation.

Conclusions:

  • Meaningful respiratory information can be extracted from ECG signals within the MRI environment.
  • EDR offers a practical alternative for respiration monitoring in EEG-fMRI studies when direct recording is challenging.
  • This approach can improve physiological noise correction and data analysis in fMRI studies without additional hardware.