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

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
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
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
Pulse rhythm01:30

Pulse rhythm

1.7K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.7K
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

5.6K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
5.6K
Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

2.9K
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:
2.9K

You might also read

Related Articles

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

Sort by
Same author

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same author

Central Sleep Apnea at High Altitude.

Deutsches Arzteblatt international·2026
Same author

Clinical validation of respiratory outcomes for a patch-based polysomnography system.

ERJ open research·2026
Same author

The effects of spectrum, irradiance, and duration of exposure on light-induced melatonin suppression in healthy adults.

Photochemistry and photobiology·2026
Same author

Parapharyngeal Fat Pads as an Obesity-Related Parameter for Apnea-Hypopnea Index Severity.

Journal of sleep research·2026
Same author

The Somnolink-Hub: A Central Infrastructure That Unites Sleep Data at Point of Care.

Studies in health technology and informatics·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: May 7, 2026

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
10:56

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

9.4K

Estimating sleep disordered breathing based on heart rate analysis.

Thomas Penzel, Martin Glos, Christoph Schobel

    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.

    Analyzing heart rate variability and ECG-derived respiration can diagnose sleep apnea types. Further analysis of these signals, including non-linear properties, aids in sleep stage determination and cardiovascular risk prediction.

    More Related Videos

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

    Multi-Modal Home Sleep Monitoring in Older Adults

    Published on: January 26, 2019

    7.3K
    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
    05:51

    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

    Published on: February 21, 2025

    1.6K

    Related Experiment Videos

    Last Updated: May 7, 2026

    Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
    10:56

    Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

    Published on: August 2, 2017

    9.4K
    Multi-Modal Home Sleep Monitoring in Older Adults
    07:40

    Multi-Modal Home Sleep Monitoring in Older Adults

    Published on: January 26, 2019

    7.3K
    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
    05:51

    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

    Published on: February 21, 2025

    1.6K

    Area of Science:

    • Cardiorespiratory signal analysis
    • Sleep medicine
    • Statistical physics applications

    Background:

    • Heart rate variability (HRV) and ECG-derived respiration (EDR) are established tools for diagnosing sleep disordered breathing (SDB).
    • Recent advancements allow differentiation between obstructive sleep apnea (OSA) and central sleep apnea (CSA) by analyzing HRV and EDR in parallel.
    • Cardiopulmonary coupling (CPC) analysis using these signals can predict cardiovascular disorder risk.

    Purpose of the Study:

    • To review advanced signal analysis techniques for sleep studies.
    • To explore the potential of HRV and EDR for distinguishing sleep apnea subtypes.
    • To investigate the application of statistical physics methods for sleep stage classification.

    Main Methods:

    • Analysis of heart rate variability (HRV).
    • ECG-derived respiration (EDR) analysis.
    • Application of statistical physics methods, including non-linear analysis and coupling information extraction.
    • Cardiopulmonary coupling (CPC) analysis.

    Main Results:

    • Simultaneous analysis of HRV and EDR enables distinction between OSA and CSA.
    • CPC analysis provides personal risk factors for cardiovascular disorders.
    • Advanced signal processing, incorporating non-linear properties and coupling information, supports sleep stage derivation from cardiorespiratory signals.

    Conclusions:

    • HRV and EDR analysis offer a comprehensive approach to diagnosing sleep apnea.
    • Integrating non-linear signal analysis and coupling information enhances sleep stage classification accuracy.
    • Cardiorespiratory signal analysis holds significant potential for both sleep disorder diagnosis and cardiovascular risk assessment.