Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Correlation between ECG and Cardiac Cycle

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...

You might also read

Related Articles

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

Sort by

Same author

A modified Delphi consensus on tenosynovial giant cell tumour and giant cell tumour of bone : a report from the Birmingham Orthopaedic Oncology Meeting (BOOM).

The bone & joint journal·2026

Same author

Complications of PI to PIII hemipelvic resections for intermediate and malignant tumours : a systematic review and meta-analysis.

Bone & joint open·2026

Same author

Tribute to Mr. Jan VLAYEN (1944-2025).

Acta orthopaedica Belgica·2026

Same author

High-frequency oscillations in intraoperative recordings from hybrid arrays with micro- and macrocontacts.

Journal of neural engineering·2026

Same author

Antibiotic duration in native and periprosthetic joint infections : a systematic review and meta-analysis of randomized controlled trials.

Bone & joint open·2026

Same author

Willingness to bone allograft donation and transplantation in sub-Saharan Africa: a multi-country cross-sectional study.

Cell and tissue banking·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

Search research articles

Related Experiment Video

Updated: Apr 18, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

Cross-correlation based μECoG waveform tracking.

Thomas Schubert, Michael Trumpis, Nicole Rivilis

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 9, 2015

Summary

This summary is machine-generated.

New visualization tools help analyze high-resolution micro-electrocorticography (μECoG) data for epilepsy seizure monitoring. These methods improve understanding of seizure dynamics from large electrode arrays.

More Related Videos

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

Tracking Mouse Bone Marrow Monocytes In Vivo

Tracking Mouse Bone Marrow Monocytes In Vivo

Published on: February 27, 2015

Related Experiment Videos

Last Updated: Apr 18, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

Published on: September 20, 2024

Tracking Mouse Bone Marrow Monocytes In Vivo

Tracking Mouse Bone Marrow Monocytes In Vivo

Published on: February 27, 2015

Area of Science:

Neuroscience
Biomedical Engineering
Data Visualization

Background:

Epileptic seizure monitoring traditionally faces a trade-off between electrode coverage and spatial resolution.
Multiplexed, flexible array devices enable high spatial resolution over large areas, generating complex datasets.
Manual review of high-density micro-electrocorticography (μECoG) data (≥360 electrodes) is challenging for subtle pattern detection.

Purpose of the Study:

To develop innovative visualization methods for micro-electrocorticography (μECoG) datasets.
To facilitate a better understanding of seizure onset, progression, and termination.
To present tools for visualizing seizure waveform velocity and location over time.

Main Methods:

Development of novel visualization techniques tailored for μECoG data.
Application of these techniques to analyze seizure and non-seizure dynamics.
Focus on visualizing spatio-temporal characteristics like waveform velocity and location.

Main Results:

The developed visualization tools enable more accessible arrangement and interpretation of complex μECoG data.
Researchers can gain deeper insights into seizure dynamics through enhanced data representation.
Specific tools are presented for visualizing seizure waveform velocity and location.

Conclusions:

Innovative visualization methods significantly enhance the analysis of high-resolution μECoG data.
These tools aid in understanding the complex dynamics of epileptic seizures.
The presented techniques offer a valuable approach for researchers in epilepsy monitoring and analysis.