ArticlePloS one2016
Comparison of Electric- and Magnetic-Cardiograms Produced by Myocardial Ischemia in Models of the Human Ventricle and Torso.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- Enhancing Current-Source Imaging in Magnetocardiography: The Impact of Sensor Array Configuration.Annals of biomedical engineering · 2026Article
- Advances of magnetocardiography in application of adult and fetal cardiac diseases.Frontiers in cardiovascular medicine · 2025Review
- Bedside Magnetocardiography with a Scalar Sensor Array.Sensors (Basel, Switzerland) · 2024Article
- Optimizing biomagnetic sensor performance throughiScience · 2024Article
- The magnetocardiogram.Biophysics reviews · 2024Review
- A simulation study on the antiarrhythmic mechanisms of established agents in myocardial ischemia and infarction.PLoS computational biology · 2024Article
- Evaluating pro-arrhythmogenic effects of the T634S-hERG mutation: insights from a simulation study.Interface focus · 2023Article
- Application of Magnetocardiography to Screen for Inflammatory Cardiomyopathy and Monitor Treatment Response.Journal of the American Heart Association · 2023Article
- Mechanisms of ventricular arrhythmias elicited by coexistence of multiple electrophysiological remodeling in ischemia: A simulation study.PLoS computational biology · 2022Article
- Myocardial Ischemia Detection by a Sensitive Pump-Probe Atomic Magnetometer.Journal of lasers in medical sciences · 2022Article
- Effects of Heart Rate and Ventricular Wall Thickness on Non-invasive Mapping: AnFrontiers in physiology · 2019Article
- ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study.Frontiers in physiology · 2019Article
- A Multi-Scale Investigation of Global Electrical Heterogeneity: Effects of Body Habitus, Respiration, and Tissue Conductivity.Computing in cardiology · 2018Article
- A portable prototype magnetometer to differentiate ischemic and non-ischemic heart disease in patients with chest pain.PloS one · 2018Article
- Trigger vs. Substrate: Multi-Dimensional Modulation of QT-Prolongation Associated Arrhythmic Dynamics by a hERG Channel Activator.Frontiers in physiology · 2017Article
- Torso geometry reconstruction and body surface electrode localization using three-dimensional photography.Journal of electrocardiologyArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myocardial ventricular ischemia arises from a lack of blood supply to the heart, which may cause abnormal repolarization and excitation wave conduction patterns in the tissue, leading to cardiac arrhythmias and even sudden death. Current diagnosis of cardiac ischemia by the 12-lead electrocardiogram (ECG) has limitations as they are insensitive in many cases and may show unnoticeable differences to normal patterns. As the magnetic field provides extra information on cardiac excitation and is more sensitive to tangential currents to the surface of the chest, whereas the electric field is more sensitive to flux currents, it has been hypothesized that the magnetocardiogram (MCG) may provide a complementary method to the ECG in ischemic diagnosis. However, it is unclear yet about the differences in sensitivity regions of body surface ECG and MCG signals to ischemic conditions. The aim of this study was to investigate such differences by using 12-, 36- ECG and 36-MCG computed from multi-scale biophysically detailed computational models of the human ventricles and torso in both control and ischemic conditions. It was shown that ischemia produced changes in the ECG and MCG signals in the QRS complex, T-wave and ST-segment, with greater relative differences seen in the 36-lead ECG and MCG as compared to the 12-leads ECG (34% and 37% vs 26%, respectively). The 36-lead ECG showed more averaged sensitivity than the MCG in the change of T-wave due to ischemia (37% vs 32%, respectively), whereas the MCG showed greater sensitivity than the ECG in the change of the ST-segment (50% vs 40%, respectively). In addition, both MCG and ECG showed regional-dependent changes to ischemia, but with MCG showing a stronger correlation between ischemic region in the heart. In conclusion, MCG shows more sensitivity than ECG in response to ischemia, which may provide an alternative method for the diagnosis of ischemia.
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