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

Pulse rhythm01:30

Pulse rhythm

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 muscle...
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,...
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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:
Electrocardiogram01:29

Electrocardiogram

An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...
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...

You might also read

Related Articles

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

Sort by
Same author

Investigating environmental heat exposure and its effects on maternal and fetal health in rural Northern Ghana (Physio-HeMAB Study): a study protocol for a cluster randomized trial.

BMC public health·2026
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

Altered heart rate variability is associated with all-cause mortality in patients with co-morbid insomnia and obstructive sleep apnea.

Sleep·2026
Same author

Network oscillatory dynamics accompany cerebral bioenergetic defence in hypoxia.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

Design of robust networks via reinforcement learning prompts the emergence of multi-backbones.

Nature communications·2026
Same author

Association between long-term, short-term spatial land surface temperature variations and health-related quality of life in Lima, Peru.

International journal of health geographics·2026

Related Experiment Video

Updated: Jun 24, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

Automated synchrogram analysis applied to heartbeat and reconstructed respiration.

Claudia Hamann1, Ronny P Bartsch, Aicko Y Schumann

  • 1Institut für Physik, Technische Universitat Ilmenau, Ilmenau, Germany.

Chaos (Woodbury, N.Y.)
|April 2, 2009
PubMed
Summary

Cardiorespiratory synchronization between heartbeat and respiration is enhanced during non-rapid-eye-movement (non-REM) sleep. This synchronization can be detected even from heartbeat data alone, aiding in physiological system analysis.

More Related Videos

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Related Experiment Videos

Last Updated: Jun 24, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Area of Science:

  • Physiological systems analysis
  • Nonlinear dynamics
  • Sleep science

Background:

  • Phase synchronization is a known phenomenon in chaotic systems.
  • Detecting synchronization in complex physiological data, like heartbeat and respiration, is challenging.
  • Understanding cardiorespiratory interactions during sleep is crucial for health monitoring.

Purpose of the Study:

  • To investigate phase synchronization between heartbeat and respiration in healthy subjects during sleep.
  • To develop and apply an automated method for detecting cardiorespiratory synchronization.
  • To assess the impact of different sleep stages on this synchronization.

Main Methods:

  • Analysis of phase synchronization between heartbeat intervals and respiration signals in 150 healthy subjects during sleep.
  • Utilized an automated synchrogram screening procedure.
  • Developed a signal reconstruction method to derive respiration from heartbeat data.

Main Results:

  • Cardiorespiratory phase synchronization was significantly enhanced during non-rapid-eye-movement (non-REM) sleep (both deep and light sleep).
  • Synchronization was reduced during rapid-eye-movement (REM) sleep.
  • Respiration signals could be successfully reconstructed from heartbeat recordings, particularly during non-REM sleep.

Conclusions:

  • Cardiorespiratory synchronization exhibits distinct patterns across different sleep stages.
  • The developed reconstruction method enables detection of cardiorespiratory synchronization using only heartbeat interval data.
  • This finding has implications for non-invasive monitoring of physiological synchrony during sleep.