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

1.1K
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:
1.1K
Special considerations while measuring oxygen saturation01:19

Special considerations while measuring oxygen saturation

592
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...
592
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

602
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
602
Electrocardiogram01:29

Electrocardiogram

2.3K
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...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Electrocardiogram-derived respiratory rate: State-of-the-art and implications for remote cardiopulmonary monitoring.

NPJ digital medicine·2026
Same author

Structural Characterization of Cardiac Free-Running Purkinje Fibers Using Inhomogeneous Magnetization Transfer (ihMT): A Proof of Concept MRI-Histology Approach.

NMR in biomedicine·2026
Same author

Quantitative Assessment of Myocardial Infarction Scarring using Optical Coherence Tomography: towards data-driven Catheter Therapy Guidance.

IEEE transactions on bio-medical engineering·2026
Same author

Endocardial I<sub>to-slow</sub> Overexpression and Fibrotic Remodeling Underlying Pause-Dependent Early Repolarization in Humans.

JACC. Clinical electrophysiology·2026
Same author

Remodeling of sarcoplasmic reticulum Ca<sup>2+</sup> uptake in cardiac Purkinje cells after ischemic myocardial infarction in various large mammalian species and humans.

American journal of physiology. Cell physiology·2025
Same author

Microanatomy of the Posterior Mitral Isthmus Region: Implications for the Cardiac Electrophysiologist.

JACC. Clinical electrophysiology·2025
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

1.8K

Open-source software for respiratory rate estimation using single-lead electrocardiograms.

Jesse D Roberts1, Richard D Walton2,3, Virginie Loyer2,3

  • 1Departments of Anesthesia, Pediatrics, and Medicine, Massachusetts General Hospital, Boston, MA, USA.

Scientific Reports
|January 3, 2024
PubMed
Summary
This summary is machine-generated.

A new open-source Python algorithm estimates respiratory rate (RR) using single-lead electrocardiogram (ECG) signals. This method offers a non-proprietary, accessible solution for remote pulmonary function monitoring.

More Related Videos

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

553
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

8.7K

Related Experiment Videos

Last Updated: Jul 6, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

1.8K
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

553
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

8.7K

Area of Science:

  • Biomedical Engineering
  • Physiological Monitoring
  • Computational Medicine

Background:

  • Respiratory rate (RR) is crucial for pulmonary function assessment.
  • Current RR monitoring tools are bulky and unsuitable for remote use.
  • Existing methods often rely on proprietary software and multiple ECG leads.

Purpose of the Study:

  • To develop an open-source, non-proprietary algorithm for RR estimation.
  • To utilize minimal, readily available single-stream electrocardiogram (ECG) signals.
  • To enable remote health monitoring of pulmonary function.

Main Methods:

  • Developed a Python-based algorithm for RR estimation from single-stream ECG data.
  • Validated the algorithm using ECGs from spontaneously breathing adult humans.
  • Tested algorithm robustness on ECGs from mechanically ventilated sheep during induced ischemia.

Main Results:

  • Algorithm demonstrated a strong linear correlation with true RR in humans (R²=0.9092, RMSE=2.2 bpm).
  • Achieved high fidelity RR estimation in sheep during cardiac ischemia (error ±0.07 bpm).
  • The algorithm requires only single-stream ECG signals for accurate RR calculation.

Conclusions:

  • The developed Python algorithm provides an accurate and robust method for RR estimation.
  • This open-source technique is suitable for remote lung function assessment.
  • It is particularly promising for patients with cardiopulmonary diseases.