Related Experiment Videos
Inverse electrocardiographic transformations. Dependence on the number of epicardial regions and body surface data
P R Johnston1, S J Walker, J A Hyttinen
1Department of Medicine, University of Tasmania, Hobart, Australia.
Journal of Electrocardiology
|January 1, 1992
Abstract
No abstract available in PubMed .
Related Concept Videos
Articles linked to this work by shared authors, journal, and citation graph.
Large-scale neural slowing measured with electroencephalography indexes secondary thalamic degeneration in stroke.
medRxiv : the preprint server for health sciences·2026
An updated multigene phylogeny of Leotiomycetes.
Persoonia·2026
Historical cultures provide insights into the taxonomy of Stictis sensu lato.
Fungal systematics and evolution·2025
Co-designing the INHSU Prisons Hepatitis C Advocacy Toolkit using the Advocacy Strategy Framework.
The International journal on drug policy·2024
Fungal Planet description sheets: 1284-1382.
Persoonia·2023
A review of Hyphodiscaceae.
Studies in mycology·2023
Electrocardiographic identification of Para-Hisian right ventricular pacing predicts response to cardiac resynchronization therapy.
Journal of electrocardiology·2026
Pregnancy-associated idiopathic ventricular arrhythmia: Serial electrocardiographic evolution during pregnancy and postpartum.
Journal of electrocardiology·2026
QT interval dispersion can be consistently explained by the spatial hypothesis.
Journal of electrocardiology·2026
The impact of regularisation methods for ECGI reconstructions during regular rhythms in an animal torso-tank model.
Computers in biology and medicine·2026
Lightweight and High Gain 3D-Printed Waveguide Slot Array Antenna via MXene Dip-Coating for Millimeter-Wave Applications.
ACS applied materials & interfaces·2026
First-in-human experience from RESET-AF (Rapid onE-Shot Electroporation Trial for Atrial Fibrillation).
Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026
MorphDiff-ECG: A Diffusion Model for Multimodal Feature Fusion of ECG Signals.
IEEE transactions on bio-medical engineering·2026