Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of Ventilation I: Respiratory Rate01:20

Assessment of Ventilation I: Respiratory Rate

2.8K
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:
2.8K
Assessment of Respiration01:23

Assessment of Respiration

2.3K
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...
2.3K
Respiratory Volumes and Capacities I01:26

Respiratory Volumes and Capacities I

2.0K
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...
2.0K
Special considerations while measuring oxygen saturation01:19

Special considerations while measuring oxygen saturation

1.0K
Assessing respiratory rate concurrently with pulse measurement is fundamental to patient care, providing valuable insights into the patient's respiratory function. The normal breathing rate for an adult usually falls within a normal range of 12 to 20 breaths per minute. Abnormal respiratory rates can signal underlying health conditions or the need for immediate intervention.
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
1.0K
Factors Affecting Respiration01:24

Factors Affecting Respiration

9.0K
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:
9.0K
Neural Control of Respiration01:18

Neural Control of Respiration

5.6K
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...
5.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging.

Diagnostic and interventional radiology (Ankara, Turkey)·2026
Same author

Clinical Evaluation of a Real-Time Wearable System for Monitoring In-Hospital Ambulatory Patients With COVID-19: Retrospective Data Study.

JMIR medical informatics·2026
Same author

Assessing the Importance of Variation in Diagnostic Coding Among the Three Countries in the UK Biobank.

Learning health systems·2026
Same author

Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence.

Nature communications·2026
Same author

Development and Validation of a Multimodal AI-Based Model for Predicting Post-Prostatectomy Treatment Outcomes from Baseline Biparametric Prostate MRI.

medRxiv : the preprint server for health sciences·2026
Same author

Publisher Correction: Reliability of LLMs as medical assistants for the general public: a randomized preregistered study.

Nature medicine·2026

Related Experiment Video

Updated: May 7, 2026

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
05:56

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

2.7K

Probabilistic estimation of respiratory rate using Gaussian processes.

Marco A F Pimentel, David A Clifton, Lei Clifton

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel Gaussian process method to estimate respiratory rate from electrocardiogram (ECG) signals. The technique accurately quantifies breathing rate and its uncertainty, offering a principled probabilistic approach.

    More Related Videos

    Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
    06:53

    Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

    Published on: July 23, 2020

    5.4K
    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
    10:44

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

    Published on: June 21, 2024

    1.6K

    Related Experiment Videos

    Last Updated: May 7, 2026

    Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
    05:56

    Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

    Published on: August 9, 2024

    2.7K
    Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
    06:53

    Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

    Published on: July 23, 2020

    5.4K
    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
    10:44

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

    Published on: June 21, 2024

    1.6K

    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Physiological Monitoring

    Background:

    • Respiratory information is present in electrocardiogram (ECG) signals.
    • Estimating respiratory rate from ECG offers a non-invasive monitoring solution.

    Purpose of the Study:

    • To develop a Gaussian process framework for estimating respiratory rate from single-lead ECG.
    • To model frequency and amplitude modulations in ECG signals related to respiration.

    Main Methods:

    • Utilized a Gaussian process framework with a periodic covariance function.
    • Modeled time series of frequency and amplitude modulation derived from ECG.
    • Extracted respiratory rate from the hyperparameters of the Gaussian process.

    Main Results:

    • The proposed method demonstrated accuracy comparable to existing techniques.
    • Successfully derived respiratory rate from ECG modulations.
    • Provided direct quantification of uncertainty in respiratory rate estimation.

    Conclusions:

    • The Gaussian process framework offers a robust and principled probabilistic method for ECG-based respiratory rate estimation.
    • This approach provides comparable accuracy to current methods while quantifying estimation uncertainty.
    • Highlights the potential for advanced signal processing in non-invasive physiological monitoring.