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 Experiment Videos

Beat-to-beat repolarisation variability in body surface electrocardiograms.

V Avbelj1, R Trobec, B Gersak

  • 1Jozef Stefan Institute, Ljubljana, Slovenia. viktor.avbelj@ijs.si

Medical & Biological Engineering & Computing
|October 24, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Wireless body sensor for electrocardiographic monitoring in dogs and cats.

The Journal of small animal practice·2018
Same author

The preferable use of port access surgical technique for right and left atrial procedures.

The heart surgery forum·2005
Same author

Cavernous hemangioma in the junction between the left atrium and the aorta: case report.

The heart surgery forum·2005
Same author

Beat-to-beat QT interval variability before and after cardiac surgery.

Computers in biology and medicine·2003
Same author

Visualization of computer simulated heart temperature during topical cooling.

Pflugers Archiv : European journal of physiology·2001
Same author

Imaging of power spectral heart rate variability regarding subject position.

Pflugers Archiv : European journal of physiology·2001

Beat-to-beat QT interval variability analysis in electrocardiograms (ECG) reveals lower repolarization variability than previously reported. Optimal lead selection and signal quality are crucial for accurate ECG measurements.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Repolarisation variability in body surface electrocardiograms (ECG) is assessed using beat-to-beat QT interval variability.
  • Accurate determination of R-peak and T-wave time points is essential for reliable QT interval measurements.

Purpose of the Study:

  • To evaluate repolarisation variability using beat-to-beat QT interval variability analysis.
  • To investigate factors influencing QT variability measurements, including algorithm sensitivity to noise and lead selection.

Main Methods:

  • Utilized interpolated R-peak time and template T-wave matching algorithms for characteristic time point determination.
  • Analyzed 5-minute, 35-channel ECG recordings from 20 healthy subjects.
  • Conducted a simulation study to assess the sensitivity of the template matching algorithm to noise.

Related Experiment Videos

Main Results:

  • Obtained a QT variability of 2.24 ± 0.79 ms (1.15 ± 0.30 ms with linear detrending), lower than previously reported values.
  • Demonstrated that repolarisation variability is influenced by lead choice, signal-to-noise ratio, and baseline correction effectiveness.
  • Indicated that while Lead II is suitable, precordial leads (V3-V6) may offer better T-wave amplitude for analysis.

Conclusions:

  • The study highlights the importance of lead selection and signal quality in accurate QT variability assessment.
  • Poor signal-to-noise ratios can significantly impact the reliability of repolarisation variability measurements.
  • Standardized methods and careful lead selection are recommended for consistent QT variability analysis in ECG.